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Publications from 2020 and before are not direct results of the SFI MediaFutures, but are key results from our team members working on related topics in MediaFutures.
2022
Alain Starke, Justyna Sedkowska, Mihir Chouhan; Bruce Ferwerda
Examining Choice Overload across Single-list and Multi-list User Interfaces Proceedings Article Forthcoming
In: Forthcoming.
Abstract | BibTeX | Tags: | Links:
@inproceedings{Starke2022,
title = {Examining Choice Overload across Single-list and Multi-list User Interfaces},
author = {Alain Starke, Justyna Sedkowska, Mihir Chouhan and Bruce Ferwerda},
url = {https://mediafutures.no/starke2022-choice-overload-preprint-submitted-to-intrs/},
year = {2022},
date = {2022-09-22},
urldate = {2022-09-19},
abstract = {Recommender systems are prone to triggering choice overload among users due to the typically large set sizes. Various applications have been developed that aim to overcome this through interface design, notably by so-called multi-list recommender systems. However, to what extent such user interface design actually reduces choice overload compared to single-list interfaces has yet to be examined. In a user study, we compared three common user interfaces (UIs) in the context of recipe recommendation: a single-list UI, a grid UI and a multi-list UI. Whereas earlier studies found differences in choice difficulty and choice satisfaction across grid-based and multi-list recommender interfaces, we observed no such differences, as the explanations were possibly not sufficiently helpful. Instead, we found that grid-based UIs and multi-list UIs had a higher perceived ease of use than a single-list UI, which in turn reduced choice difficulty. The benefits of such interfaces may, thus, lie in the organization of the UI, at least in the recipe domain.},
keywords = {},
pubstate = {forthcoming},
tppubtype = {inproceedings}
}
Recommender systems are prone to triggering choice overload among users due to the typically large set sizes. Various applications have been developed that aim to overcome this through interface design, notably by so-called multi-list recommender systems. However, to what extent such user interface design actually reduces choice overload compared to single-list interfaces has yet to be examined. In a user study, we compared three common user interfaces (UIs) in the context of recipe recommendation: a single-list UI, a grid UI and a multi-list UI. Whereas earlier studies found differences in choice difficulty and choice satisfaction across grid-based and multi-list recommender interfaces, we observed no such differences, as the explanations were possibly not sufficiently helpful. Instead, we found that grid-based UIs and multi-list UIs had a higher perceived ease of use than a single-list UI, which in turn reduced choice difficulty. The benefits of such interfaces may, thus, lie in the organization of the UI, at least in the recipe domain.
Marianne Borchgrevink-Brækhus
"Det er ikke plass til alt på internett": algoritmestyrte forsider og redaksjonelle vurderinger Journal Article
In: Norsk Medietidsskrif, 2022.
Abstract | BibTeX | Tags: | Links:
@article{Borchgrevink-Brækhus2022,
title = {"Det er ikke plass til alt på internett": algoritmestyrte forsider og redaksjonelle vurderinger},
author = {Marianne Borchgrevink-Brækhus},
url = {https://mediafutures.no/nmt-29-3-4-compressed/},
year = {2022},
date = {2022-09-16},
urldate = {2022-09-16},
journal = {Norsk Medietidsskrif},
abstract = {Denne artikkelen er en analyse av overgangen til algoritmestyrte forsider i to store norske nettaviser. I 2019 innførte flere norske regionaviser i Schibsted-konsernet algoritmestyrte nettavisforsider. Mens sakene på forsidene tidligere ble manuelt styrt og rangert av frontsjefene, er forsidene nå i stor grad automatisert ut fra bruksdata. Algoritmer automatiserer deler av forsiden basert på salg, trafikk og nyhetsverdi, der formålet, ifølge utviklerne, er å frigjøre tid til viktigere journalistiske oppgaver og gi leserne flere relevante saker. Omleggingen har imidlertid skapt debatt og bekymring for at algoritmene kan bidra til å personalisere nyhetstilbudet og svekke opplevelsen av en felles dagsor- den. Gjennom kvalitative intervjuer med utviklere, frontsjefer og journalister i to av Norges største abonnementsavi- ser, Aftenposten og Bergens Tidende, undersøker artikkelen hvordan algoritmene systematiserer nyhetsinnholdet, og hva innføringen av algoritmene betyr for tilgangen på nyheter. Selv om forsidene til en viss grad personaliseres, viser funnene at algoritmenes nåværende utforming ikke har de samme selvforsterkende mekanismene som ofte forbindes med sosiale medier. Samtidig ser redaksjonene for seg at algoritmene i fremtiden kan bidra til likere informasjons- og nyhetstilgang blant ulike brukergrupper.
This article is an analysis of the transition to algorithm-driven front pages in two Norwegian online newspapers. In 2019, Norwegian media group Schibsted implemented front page algorithms in several of their online newspapers. While the news stories previously were ranked manually by editors, the front pages are now partly automated based on sales, clicks, and news value. According to web developers, the purpose is to free up time for more critical jour- nalistic tasks and provide their readers with more relevant content. Nevertheless, the implementation of the technol- ogy has caused concern. Critics fear that algorithms will personalize the news and weaken the experience of a shared public agenda. Drawing on qualitative interviews with web developers, front page editors, and journalists in the Nor- wegian newspapers Aftenposten and Bergens Tidende, the article examines how the front page algorithms systemize and rank news content. Although the front pages are moderately personalized, the findings show that the current design of the algorithms does not entail the self-reinforcing mechanisms associated with social media. Furthermore, news professionals imply that algorithmic curation can become essential to ensure equal access to news among dif- ferent user groups in the future.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Denne artikkelen er en analyse av overgangen til algoritmestyrte forsider i to store norske nettaviser. I 2019 innførte flere norske regionaviser i Schibsted-konsernet algoritmestyrte nettavisforsider. Mens sakene på forsidene tidligere ble manuelt styrt og rangert av frontsjefene, er forsidene nå i stor grad automatisert ut fra bruksdata. Algoritmer automatiserer deler av forsiden basert på salg, trafikk og nyhetsverdi, der formålet, ifølge utviklerne, er å frigjøre tid til viktigere journalistiske oppgaver og gi leserne flere relevante saker. Omleggingen har imidlertid skapt debatt og bekymring for at algoritmene kan bidra til å personalisere nyhetstilbudet og svekke opplevelsen av en felles dagsor- den. Gjennom kvalitative intervjuer med utviklere, frontsjefer og journalister i to av Norges største abonnementsavi- ser, Aftenposten og Bergens Tidende, undersøker artikkelen hvordan algoritmene systematiserer nyhetsinnholdet, og hva innføringen av algoritmene betyr for tilgangen på nyheter. Selv om forsidene til en viss grad personaliseres, viser funnene at algoritmenes nåværende utforming ikke har de samme selvforsterkende mekanismene som ofte forbindes med sosiale medier. Samtidig ser redaksjonene for seg at algoritmene i fremtiden kan bidra til likere informasjons- og nyhetstilgang blant ulike brukergrupper.
This article is an analysis of the transition to algorithm-driven front pages in two Norwegian online newspapers. In 2019, Norwegian media group Schibsted implemented front page algorithms in several of their online newspapers. While the news stories previously were ranked manually by editors, the front pages are now partly automated based on sales, clicks, and news value. According to web developers, the purpose is to free up time for more critical jour- nalistic tasks and provide their readers with more relevant content. Nevertheless, the implementation of the technol- ogy has caused concern. Critics fear that algorithms will personalize the news and weaken the experience of a shared public agenda. Drawing on qualitative interviews with web developers, front page editors, and journalists in the Nor- wegian newspapers Aftenposten and Bergens Tidende, the article examines how the front page algorithms systemize and rank news content. Although the front pages are moderately personalized, the findings show that the current design of the algorithms does not entail the self-reinforcing mechanisms associated with social media. Furthermore, news professionals imply that algorithmic curation can become essential to ensure equal access to news among dif- ferent user groups in the future.
This article is an analysis of the transition to algorithm-driven front pages in two Norwegian online newspapers. In 2019, Norwegian media group Schibsted implemented front page algorithms in several of their online newspapers. While the news stories previously were ranked manually by editors, the front pages are now partly automated based on sales, clicks, and news value. According to web developers, the purpose is to free up time for more critical jour- nalistic tasks and provide their readers with more relevant content. Nevertheless, the implementation of the technol- ogy has caused concern. Critics fear that algorithms will personalize the news and weaken the experience of a shared public agenda. Drawing on qualitative interviews with web developers, front page editors, and journalists in the Nor- wegian newspapers Aftenposten and Bergens Tidende, the article examines how the front page algorithms systemize and rank news content. Although the front pages are moderately personalized, the findings show that the current design of the algorithms does not entail the self-reinforcing mechanisms associated with social media. Furthermore, news professionals imply that algorithmic curation can become essential to ensure equal access to news among dif- ferent user groups in the future.
Alan Dominique Starke; Minha Lee
Unifying Recommender Systems and Conversational User Interfaces Book Chapter
In: Chapter 7, pp. 71-77, Association for Computing Machinery, 2022, ISBN: 978-1-4503-9739-1.
BibTeX | Tags: | Links:
@inbook{nokeyf,
title = {Unifying Recommender Systems and Conversational User Interfaces},
author = {Alan Dominique Starke and Minha Lee},
url = {https://dl.acm.org/doi/book/10.1145/3543829},
isbn = {978-1-4503-9739-1},
year = {2022},
date = {2022-09-15},
pages = {71-77},
publisher = {Association for Computing Machinery},
chapter = {7},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
Hossein Ghaderi Zefrehi; Ghazaal Sheikhi; Hakan Altınçay
Threshold prediction for detecting rare positive samples using a meta-learner Journal Article
In: 2022.
Abstract | BibTeX | Tags: | Links:
@article{nokeyh,
title = {Threshold prediction for detecting rare positive samples using a meta-learner},
author = {Hossein Ghaderi Zefrehi and Ghazaal Sheikhi and Hakan Altınçay},
url = {https://link.springer.com/article/10.1007/s10044-022-01103-1},
doi = {https://doi.org/10.1007/s10044-022-01103-1},
year = {2022},
date = {2022-09-14},
abstract = {Threshold-moving is one of the several techniques employed in correcting the bias of binary classifiers towards the majority class. In this approach, the decision threshold is adjusted to detect the minority class at the cost of increased misclassification of the majority. In practice, selecting a good threshold using cross-validation on the training data is not feasible in some problems since there are only a few minority samples. In this study, building a meta-learner for threshold prediction to tackle the threshold estimation problem in the case of rare positive samples is addressed. Novel meta-features are suggested to quantify the imbalance characteristics of the data sets and the patterns among the prediction scores. A random forest-based threshold prediction model is constructed using these meta-features extracted from the score space of external data. The models obtained are then employed to estimate the optimal thresholds for previously unseen datasets. The random forest-based meta-learner that employs implicitly selected subset of the proposed meta-features and encodes information from multiple external sources in the form of different trees is evaluated by using 52 imbalanced datasets. In the first set of experiments, the best-fitting thresholds are computed for SVM and logistic regression classifiers that are trained using the original imbalanced training sets. The experiments are repeated by using ensembles of multiple learners, each trained using a different balanced data set. It is observed that the proposed approach provides better F-score when compared to alternative threshold-moving and balancing techniques.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Threshold-moving is one of the several techniques employed in correcting the bias of binary classifiers towards the majority class. In this approach, the decision threshold is adjusted to detect the minority class at the cost of increased misclassification of the majority. In practice, selecting a good threshold using cross-validation on the training data is not feasible in some problems since there are only a few minority samples. In this study, building a meta-learner for threshold prediction to tackle the threshold estimation problem in the case of rare positive samples is addressed. Novel meta-features are suggested to quantify the imbalance characteristics of the data sets and the patterns among the prediction scores. A random forest-based threshold prediction model is constructed using these meta-features extracted from the score space of external data. The models obtained are then employed to estimate the optimal thresholds for previously unseen datasets. The random forest-based meta-learner that employs implicitly selected subset of the proposed meta-features and encodes information from multiple external sources in the form of different trees is evaluated by using 52 imbalanced datasets. In the first set of experiments, the best-fitting thresholds are computed for SVM and logistic regression classifiers that are trained using the original imbalanced training sets. The experiments are repeated by using ensembles of multiple learners, each trained using a different balanced data set. It is observed that the proposed approach provides better F-score when compared to alternative threshold-moving and balancing techniques.
Sohail Ahmed Khan; Duc-Tien Dang-Nguyen
Hybrid Transformer Network for Deepfake Detection Conference
Hybrid Transformer Network for Deepfake Detection, 2022.
BibTeX | Tags: | Links:
@conference{Khan2022,
title = {Hybrid Transformer Network for Deepfake Detection},
author = {Sohail Ahmed Khan and Duc-Tien Dang-Nguyen},
url = {https://mediafutures.no/2208-05820-compressed-2/},
year = {2022},
date = {2022-08-11},
booktitle = {Hybrid Transformer Network for Deepfake Detection},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
John Magnus Dahl; Torgeir Uberg Nærland
Playful recognition: Television comedy and the politics of mediated recognition Journal Article
In: Communication. The European Journal of Communication Research. , 2022.
Abstract | BibTeX | Tags: | Links:
@article{nokey,
title = {Playful recognition: Television comedy and the politics of mediated recognition},
author = {John Magnus Dahl and Torgeir Uberg Nærland},
url = {https://mediafutures.no/10-1515_commun-2022-0046-compressed/},
doi = {https://doi.org/10.1515/commun-2022-0046},
year = {2022},
date = {2022-07-14},
urldate = {2022-07-14},
journal = {Communication. The European Journal of Communication Research. },
abstract = {This article explores how media content may facilitate processes of recognition through playfulness and comedy. Mediated recognition is typically understood as a matter of respectful and positive representation of subaltern groups and in terms of struggles for visibility and dignity. Yet at the same time, the media address audiences in much less deferential ways that are nonetheless consequential to processes of recognition: by means of playfulness, subversion, and irreverence. This article introduces the concept of ‘playful recognition’ to account for the contradictory ways in which humor can incite recognition. The article empirically illustrates this concept drawing upon a case study of Svart Humor – a comedy show aired in Norway. On the one hand, this article explores an important yet neglected dimension of mediated recognition, on the other, it introduces a recognition perspective to the study of televised comedy.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This article explores how media content may facilitate processes of recognition through playfulness and comedy. Mediated recognition is typically understood as a matter of respectful and positive representation of subaltern groups and in terms of struggles for visibility and dignity. Yet at the same time, the media address audiences in much less deferential ways that are nonetheless consequential to processes of recognition: by means of playfulness, subversion, and irreverence. This article introduces the concept of ‘playful recognition’ to account for the contradictory ways in which humor can incite recognition. The article empirically illustrates this concept drawing upon a case study of Svart Humor – a comedy show aired in Norway. On the one hand, this article explores an important yet neglected dimension of mediated recognition, on the other, it introduces a recognition perspective to the study of televised comedy.
Ayoub El Majjodi; Alain D. Starke; Christoph Trattner
Nudging Towards Health? Examining the Merits of Nutrition Labels and Personalization in a Recipe Recommender System Conference
Nudging Towards Health? Examining the Merits of Nutrition Labels and Personalization in a Recipe Recommender System, 2022.
Abstract | BibTeX | Tags: New, WP2: User Modeling Personalization and Engagement | Links:
@conference{Majjodi2022,
title = {Nudging Towards Health? Examining the Merits of Nutrition Labels and Personalization in a Recipe Recommender System},
author = { Ayoub El Majjodi and Alain D. Starke and Christoph Trattner
},
url = {https://dl.acm.org/doi/10.1145/3503252.3531312?fbclid=IwAR0eb6MPuISpVs9Vfkd-ww_KN7EjbMbiGdDQnPxjayogfKbHFgkSgeLdaxs},
year = {2022},
date = {2022-07-03},
urldate = {2022-07-03},
booktitle = {Nudging Towards Health? Examining the Merits of Nutrition Labels and Personalization in a Recipe Recommender System},
abstract = {Food recommender systems show personalized recipes to users based on content liked previously. Despite their potential, often recommended (popular) recipes in previous studies have turned out to be unhealthy, negatively contributing to prevalent obesity problems worldwide. Changing how foods are presented through digital nudges might help, but these are usually examined in non-personalized contexts, such as a brick-and-mortar supermarket. This study seeks to support healthy food choices in a personalized interface by adding front-of-package nutrition labels to recipes in a food recommender system. After performing an offline evaluation, we conducted an online study (N = 600) with six different recommender interfaces, based on a 2 (non-personalized vs. personalized recipe advice) x 3 (No Label, Multiple Traffic Light, Nutri-Score) between-subjects design. We found that recipe choices made in the non-personalized scenario were healthier, while the use of nutrition labels (our digital nudge) reduced choice difficulty when the content was personalized.},
keywords = {New, WP2: User Modeling Personalization and Engagement},
pubstate = {published},
tppubtype = {conference}
}
Food recommender systems show personalized recipes to users based on content liked previously. Despite their potential, often recommended (popular) recipes in previous studies have turned out to be unhealthy, negatively contributing to prevalent obesity problems worldwide. Changing how foods are presented through digital nudges might help, but these are usually examined in non-personalized contexts, such as a brick-and-mortar supermarket. This study seeks to support healthy food choices in a personalized interface by adding front-of-package nutrition labels to recipes in a food recommender system. After performing an offline evaluation, we conducted an online study (N = 600) with six different recommender interfaces, based on a 2 (non-personalized vs. personalized recipe advice) x 3 (No Label, Multiple Traffic Light, Nutri-Score) between-subjects design. We found that recipe choices made in the non-personalized scenario were healthier, while the use of nutrition labels (our digital nudge) reduced choice difficulty when the content was personalized.
Samia Touileb; Lilja Øvrelid; Erik Velldal
Occupational Biases in Norwegian and Multilingual Language Models Workshop
2022.
Abstract | BibTeX | Tags: New, WP5: Norwegian Language Technologies | Links:
@workshop{Touileb2022,
title = {Occupational Biases in Norwegian and Multilingual Language Models},
author = {Samia Touileb and Lilja Øvrelid and Erik Velldal },
url = {https://mediafutures.no/2022-gebnlp-1-21/},
year = {2022},
date = {2022-07-01},
abstract = {In this paper we explore how a demographic distribution of occupations, along gender dimensions, is reflected in pre-trained language models. We give a descriptive assessment of the distribution of occupations, and investigate to what extent these are reflected in four Norwegian and two multilingual models. To this end, we introduce a set of simple bias probes, and perform five different tasks combining gendered pronouns, first names, and a set of occupations from the Norwegian statistics bureau. We show that language specific models obtain more accurate results, and are much closer to the real-world distribution of clearly gendered occupations. However, we see that none of the models have correct representations of the occupations that are demographically balanced between genders. We also discuss the importance of the training data on which the models were trained on, and argue that template-based bias probes can sometimes be fragile, and a simple alteration in a template can change a model’s behavior.},
keywords = {New, WP5: Norwegian Language Technologies},
pubstate = {published},
tppubtype = {workshop}
}
In this paper we explore how a demographic distribution of occupations, along gender dimensions, is reflected in pre-trained language models. We give a descriptive assessment of the distribution of occupations, and investigate to what extent these are reflected in four Norwegian and two multilingual models. To this end, we introduce a set of simple bias probes, and perform five different tasks combining gendered pronouns, first names, and a set of occupations from the Norwegian statistics bureau. We show that language specific models obtain more accurate results, and are much closer to the real-world distribution of clearly gendered occupations. However, we see that none of the models have correct representations of the occupations that are demographically balanced between genders. We also discuss the importance of the training data on which the models were trained on, and argue that template-based bias probes can sometimes be fragile, and a simple alteration in a template can change a model’s behavior.
Andrei Kutuzov; Samia Touileb; Petter Mæhlum; Tita Enstad; Alexandra Witteman
NorDiaChange: Diachronic Semantic Change Dataset for Norwegian Book Chapter
In: pp. 2563-2572, European Language Resources Association NVI-nivå 1, 2022, ISBN: 979-10-95546-72-6.
Abstract | BibTeX | Tags: | Links:
@inbook{nokeyi,
title = {NorDiaChange: Diachronic Semantic Change Dataset for Norwegian},
author = {Andrei Kutuzov and Samia Touileb and Petter Mæhlum and Tita Enstad and Alexandra Witteman},
url = {https://www.duo.uio.no/handle/10852/100876},
isbn = {979-10-95546-72-6},
year = {2022},
date = {2022-06-25},
pages = {2563-2572},
publisher = {European Language Resources Association NVI-nivå 1},
abstract = {We describe NorDiaChange: the first diachronic semantic change dataset for Norwegian. NorDiaChange comprises two novel subsets, covering about 80 Norwegian nouns manually annotated with graded semantic change over time. Both datasets follow the same annotation procedure and can be used interchangeably as train and test splits for each other. NorDiaChange covers the time periods related to pre- and post-war events, oil and gas discovery in Norway, and technological developments. The annotation was done using the DURel framework and two large historical Norwegian corpora. NorDiaChange is published in full under a permissive licence, complete with raw annotation data and inferred diachronic word usage graphs (DWUGs).},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
We describe NorDiaChange: the first diachronic semantic change dataset for Norwegian. NorDiaChange comprises two novel subsets, covering about 80 Norwegian nouns manually annotated with graded semantic change over time. Both datasets follow the same annotation procedure and can be used interchangeably as train and test splits for each other. NorDiaChange covers the time periods related to pre- and post-war events, oil and gas discovery in Norway, and technological developments. The annotation was done using the DURel framework and two large historical Norwegian corpora. NorDiaChange is published in full under a permissive licence, complete with raw annotation data and inferred diachronic word usage graphs (DWUGs).
Veronica Bogina; Tsvi Kuflik; Dietmar Jannach; Maria Bielikova; Michal Kompan; Christoph Trattner
Considering Temporal Aspects in Recommender Systems: A Survey Journal Article
In: UMUAI journal, 2022.
Abstract | BibTeX | Tags: New | Links:
@article{Bogina2022,
title = {Considering Temporal Aspects in Recommender Systems: A Survey },
author = {Veronica Bogina and Tsvi Kuflik and Dietmar Jannach and Maria Bielikova and Michal Kompan and Christoph Trattner
},
url = {https://mediafutures.no/revisedversion_considering_temporal_aspects_in_rs_a_survey-6/},
year = {2022},
date = {2022-05-31},
urldate = {2022-05-31},
journal = {UMUAI journal},
abstract = {The widespread use of temporal aspects in user modeling indicates their importance, and their consideration showed to be highly effective in var- ious domains related to user modeling, especially in recommender systems. Still, past and ongoing research, spread over several decades, provided multi- ple ad-hoc solutions, but no common understanding of the issue. There is no standardization and there is often little commonality in considering tempo- ral aspects in different applications. This may ultimately lead to the problem that application developers define ad-hoc solutions for their problems at hand, sometimes missing or neglecting aspects that proved to be effective in similar cases. Therefore, a comprehensive survey of the consideration of temporal as- pects in recommender systems is required. In this work, we provide an overview of various time-related aspects, categorize existing research, present a tempo- ral abstraction and point to gaps that require future research. We anticipate this survey will become a reference point for researchers and practitioners alike when considering the potential application of temporal aspects in their personalized applications.},
keywords = {New},
pubstate = {published},
tppubtype = {article}
}
The widespread use of temporal aspects in user modeling indicates their importance, and their consideration showed to be highly effective in var- ious domains related to user modeling, especially in recommender systems. Still, past and ongoing research, spread over several decades, provided multi- ple ad-hoc solutions, but no common understanding of the issue. There is no standardization and there is often little commonality in considering tempo- ral aspects in different applications. This may ultimately lead to the problem that application developers define ad-hoc solutions for their problems at hand, sometimes missing or neglecting aspects that proved to be effective in similar cases. Therefore, a comprehensive survey of the consideration of temporal as- pects in recommender systems is required. In this work, we provide an overview of various time-related aspects, categorize existing research, present a tempo- ral abstraction and point to gaps that require future research. We anticipate this survey will become a reference point for researchers and practitioners alike when considering the potential application of temporal aspects in their personalized applications.
Bjørnar Tessem; Lars Nyre; Paul Mulholland
Deep Learning to Encourage Citizen Involvement in Local Journalism Book Chapter
In: Mari K. Niemi Ville J. E. Manninen, Anthony Ridge-Newman (Ed.): Chapter 3, pp. 211-226, Palgrave Macmillan Cham, 2022.
Abstract | BibTeX | Tags: New | Links:
@inbook{Tessem2022,
title = {Deep Learning to Encourage Citizen Involvement in Local Journalism},
author = {Bjørnar Tessem and Lars Nyre and Paul Mulholland},
editor = {Ville J. E. Manninen, Mari K. Niemi, Anthony Ridge-Newman},
url = {https://link.springer.com/chapter/10.1007/978-3-030-95073-6_14},
doi = {https://doi.org/10.1007/978-3-030-95073-6_14},
year = {2022},
date = {2022-05-05},
urldate = {2022-05-05},
pages = {211-226},
publisher = {Palgrave Macmillan Cham},
chapter = {3},
abstract = {We discuss the potential of a mobile app for news tips to local newspapers to be augmented with artificial intelligence. It can be designed to encourage deliberative, consensus-oriented contributions from citizens. We presume that such an app will generate news stories from multi-modal data in the form of photos, videos, text elements, location information, and the identity of the contributor. Three scenarios are presented to show how image recognition, natural language processing, narrative construction, and other AI technologies can be applied. The scenarios address three interrelated challenges for local journalism. First, text and photos in tips are often of low quality for journalism purposes. Second, peer-to-peer dialogue about local news takes place in social media instead of in the newspaper. Third, readers lack news literacy and are prone to confrontational debates and trolling. We show how advances in deep learning technology makes it possible to propose solutions to these problems.},
keywords = {New},
pubstate = {published},
tppubtype = {inbook}
}
We discuss the potential of a mobile app for news tips to local newspapers to be augmented with artificial intelligence. It can be designed to encourage deliberative, consensus-oriented contributions from citizens. We presume that such an app will generate news stories from multi-modal data in the form of photos, videos, text elements, location information, and the identity of the contributor. Three scenarios are presented to show how image recognition, natural language processing, narrative construction, and other AI technologies can be applied. The scenarios address three interrelated challenges for local journalism. First, text and photos in tips are often of low quality for journalism purposes. Second, peer-to-peer dialogue about local news takes place in social media instead of in the newspaper. Third, readers lack news literacy and are prone to confrontational debates and trolling. We show how advances in deep learning technology makes it possible to propose solutions to these problems.
Ziming Wang; Ziyi Hu; Yemao Man; Morten Fjeld
A Collaborative System of Flying and Ground Robots with Universal Physical Coupling Interface (PCI), and the Potential Interactive Applications Conference
A Collaborative System of Flying and Ground Robots with Universal Physical Coupling Interface (PCI), and the Potential Interactive Applications, 2022.
@conference{Wang2022,
title = {A Collaborative System of Flying and Ground Robots with Universal Physical Coupling Interface (PCI), and the Potential Interactive Applications},
author = {Ziming Wang and Ziyi Hu and Yemao Man and Morten Fjeld},
year = {2022},
date = {2022-04-29},
urldate = {2022-04-29},
booktitle = {A Collaborative System of Flying and Ground Robots with Universal Physical Coupling Interface (PCI), and the Potential Interactive Applications},
abstract = {Flying and ground robots complement each other in terms of their advantages and disadvantages. We propose a collaborative system combining flying and ground robots, using a universal physical coupling interface (PCI) that allows for momentary connections and disconnections between multiple robots/devices. The proposed system may better utilize the complementary advantages of both flying and ground robots. We also describe various potential scenarios where such a system could be of benefit to interact with humans - namely, remote field works and rescue missions, transportation, healthcare, and education. Finally, we discuss the opportunities and challenges of such systems and consider deeper questions which should be studied in future work.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Flying and ground robots complement each other in terms of their advantages and disadvantages. We propose a collaborative system combining flying and ground robots, using a universal physical coupling interface (PCI) that allows for momentary connections and disconnections between multiple robots/devices. The proposed system may better utilize the complementary advantages of both flying and ground robots. We also describe various potential scenarios where such a system could be of benefit to interact with humans - namely, remote field works and rescue missions, transportation, healthcare, and education. Finally, we discuss the opportunities and challenges of such systems and consider deeper questions which should be studied in future work.
Morten Fjeld; Yukai Hoshikawa; Kazuyuki Fujita; Kazuki Takashima; Yoshifumi Kitamura
RedirectedDoors: Redirection While Opening Doors in Virtual Reality Conference
RedirectedDoors: Redirection While Opening Doors in Virtual Reality., 2022.
Abstract | BibTeX | Tags: New, Virtual Reality, WP4: Media Content Interaction and Accessibility
@conference{Fjeld2022,
title = {RedirectedDoors: Redirection While Opening Doors in Virtual Reality},
author = {Morten Fjeld and Yukai Hoshikawa and Kazuyuki Fujita and Kazuki Takashima and Yoshifumi Kitamura },
year = {2022},
date = {2022-03-12},
urldate = {2022-03-12},
booktitle = {RedirectedDoors: Redirection While Opening Doors in Virtual Reality.},
abstract = {We propose RedirectedDoors, a novel technique for redirection in VR focused on door-opening behavior. This technique manipulates the user's walking direction by rotating the entire virtual environment at a certain angular ratio of the door being opened, while the virtual door's position is kept unmanipulated to ensure door-opening realism. Results of a user study using two types of door-opening interfaces (with and without a passive haptic prop) revealed that the estimated detection thresholds generally showed a higher space efficiency of redirection. Following the results, we derived usage guidelines for our technique that provide lower noticeability and higher acceptability.},
keywords = {New, Virtual Reality, WP4: Media Content Interaction and Accessibility},
pubstate = {published},
tppubtype = {conference}
}
We propose RedirectedDoors, a novel technique for redirection in VR focused on door-opening behavior. This technique manipulates the user's walking direction by rotating the entire virtual environment at a certain angular ratio of the door being opened, while the virtual door's position is kept unmanipulated to ensure door-opening realism. Results of a user study using two types of door-opening interfaces (with and without a passive haptic prop) revealed that the estimated detection thresholds generally showed a higher space efficiency of redirection. Following the results, we derived usage guidelines for our technique that provide lower noticeability and higher acceptability.
Mehdi Elahi; Alain D. Starke; Nabil El Ioini; Anna Alexander Lambrix; Christoph Trattner
Developing and Evaluating a University Recommender System Journal Article
In: Frontiers in Artificial Intelligence , 2022.
Abstract | BibTeX | Tags: New, WP2: User Modeling Personalization and Engagement | Links:
@article{Elahi2022,
title = {Developing and Evaluating a University Recommender System},
author = {Mehdi Elahi and Alain D. Starke and Nabil El Ioini and Anna Alexander Lambrix and Christoph Trattner},
url = {https://www.frontiersin.org/articles/10.3389/frai.2021.796268/full},
doi = {https://doi.org/10.3389/frai.2021.796268},
year = {2022},
date = {2022-02-02},
journal = {Frontiers in Artificial Intelligence },
abstract = {A challenge for many young adults is to find the right institution to follow higher education. Global university rankings are a commonly used, but inefficient tool, for they do not consider a person's preferences and needs. For example, some persons pursue prestige in their higher education, while others prefer proximity. This paper develops and evaluates a university recommender system, eliciting user preferences as ratings to build predictive models and to generate personalized university ranking lists. In Study 1, we performed offline evaluation on a rating dataset to determine which recommender approaches had the highest predictive value. In Study 2, we selected three algorithms to produce different university recommendation lists in our online tool, asking our users to compare and evaluate them in terms of different metrics (Accuracy, Diversity, Perceived Personalization, Satisfaction, and Novelty). We show that a SVD algorithm scores high on accuracy and perceived personalization, while a KNN algorithm scores better on novelty. We also report findings on preferred university features.},
keywords = {New, WP2: User Modeling Personalization and Engagement},
pubstate = {published},
tppubtype = {article}
}
A challenge for many young adults is to find the right institution to follow higher education. Global university rankings are a commonly used, but inefficient tool, for they do not consider a person's preferences and needs. For example, some persons pursue prestige in their higher education, while others prefer proximity. This paper develops and evaluates a university recommender system, eliciting user preferences as ratings to build predictive models and to generate personalized university ranking lists. In Study 1, we performed offline evaluation on a rating dataset to determine which recommender approaches had the highest predictive value. In Study 2, we selected three algorithms to produce different university recommendation lists in our online tool, asking our users to compare and evaluate them in terms of different metrics (Accuracy, Diversity, Perceived Personalization, Satisfaction, and Novelty). We show that a SVD algorithm scores high on accuracy and perceived personalization, while a KNN algorithm scores better on novelty. We also report findings on preferred university features.
Hakim Hacid; Monther Aldwairi; Mohamed Reda Bouadjenek; Marinella Petrocchi; Noura Faci; Fatma Outay; Amin Beheshti; Lauritz Thamsen; Hai Dong
Service-Oriented Computing - ICSOC 2021 Workshops - AIOps, STRAPS, AI-PA, and Satellite Events, Dubai, United Arab Emirates, November 22-25, 2021, Proceedings. Lecture Notes in Computer Science. Proceedings
2022.
BibTeX | Tags: Cristin | Links:
@proceedings{cristin1957036,
title = {Service-Oriented Computing - ICSOC 2021 Workshops - AIOps, STRAPS, AI-PA, and Satellite Events, Dubai, United Arab Emirates, November 22-25, 2021, Proceedings. Lecture Notes in Computer Science.},
author = {Hakim Hacid and Monther Aldwairi and Mohamed Reda Bouadjenek and Marinella Petrocchi and Noura Faci and Fatma Outay and Amin Beheshti and Lauritz Thamsen and Hai Dong},
url = {https://app.cristin.no/results/show.jsf?id=1957036, Cristin
https://link.springer.com/conference/icsoc},
year = {2022},
date = {2022-01-01},
keywords = {Cristin},
pubstate = {published},
tppubtype = {proceedings}
}
Tord Kvifte; Mehdi Elahi; Christoph Trattner
Hybrid Recommendation of Movies based on Deep Content Features Proceedings Article
In: Springer Nature, 2022.
Abstract | BibTeX | Tags: Cristin | Links:
@inproceedings{cristin1957037,
title = {Hybrid Recommendation of Movies based on Deep Content Features},
author = {Tord Kvifte and Mehdi Elahi and Christoph Trattner},
url = {https://app.cristin.no/results/show.jsf?id=1957037, Cristin
https://aip-research-center.github.io/AIPA_workshop/2021/},
year = {2022},
date = {2022-01-01},
booktitle = {Springer Nature},
abstract = {When a movie is uploaded to a movie Recommender System (e.g., YouTube), the system can exploit various forms of descriptive features (e.g., tags and genre) in order to generate personalized recommendation for users. However, there are situations where the descriptive features are missing or very limited and the system may fail to include such a movie in the recommendation list. This paper investigates hybrid recommendation based on a novel form of content features, extracted from movies, in order to generate recommendation for users. Such features represent the visual aspects of movies, based on Deep Learning models, and hence, do not require any human annotation when extracted. We have evaluated our proposed technique using a large dataset of movies and shown that automatically extracted visual features can mitigate the cold-start problem by generating recommendation with a superior quality compared to different baselines, including recommendation based on human-annotated features.},
keywords = {Cristin},
pubstate = {published},
tppubtype = {inproceedings}
}
When a movie is uploaded to a movie Recommender System (e.g., YouTube), the system can exploit various forms of descriptive features (e.g., tags and genre) in order to generate personalized recommendation for users. However, there are situations where the descriptive features are missing or very limited and the system may fail to include such a movie in the recommendation list. This paper investigates hybrid recommendation based on a novel form of content features, extracted from movies, in order to generate recommendation for users. Such features represent the visual aspects of movies, based on Deep Learning models, and hence, do not require any human annotation when extracted. We have evaluated our proposed technique using a large dataset of movies and shown that automatically extracted visual features can mitigate the cold-start problem by generating recommendation with a superior quality compared to different baselines, including recommendation based on human-annotated features.
Bjørnar Tessem
The Future Technologies in Journalism Presentation
EBU Metadata Network 2022 Online Conference, 01.01.2022.
BibTeX | Tags: Cristin | Links:
@misc{cristin2028464,
title = {The Future Technologies in Journalism},
author = {Bjørnar Tessem},
url = {https://app.cristin.no/results/show.jsf?id=2028464, Cristin},
year = {2022},
date = {2022-01-01},
howpublished = {EBU Metadata Network 2022 Online Conference},
keywords = {Cristin},
pubstate = {published},
tppubtype = {presentation}
}
Bjørnar Tessem; Lars Nyre; Michel dos Santos Mesquita; Paul Mulholland
Deep Learning to Encourage Citizen Involvement in Local Journalism Proceedings Article
In: Palgrave Macmillan, 2022.
BibTeX | Tags: Cristin | Links:
@inproceedings{cristin2023207,
title = {Deep Learning to Encourage Citizen Involvement in Local Journalism},
author = {Bjørnar Tessem and Lars Nyre and Michel dos Santos Mesquita and Paul Mulholland},
url = {https://app.cristin.no/results/show.jsf?id=2023207, Cristin},
doi = {https://doi.org/10.1007/978-3-030-95073-6_14},
year = {2022},
date = {2022-01-01},
booktitle = {Palgrave Macmillan},
keywords = {Cristin},
pubstate = {published},
tppubtype = {inproceedings}
}
2021
Christoph Trattner; Dietmar Jannach; Enrico Motta; Irene Costera Meijer; Nicholas Diakopoulos; Mehdi Elahi; Andreas L. Opdahl; Bjørnar Tessem; Njål Borch; Morten Fjeld; Lilja Øvrelid; Koenraad De Smedt; Hallvard Moe
Responsible media technology and AI: challenges and research directions Journal Article
In: AI and Ethics, 2021.
BibTeX | Tags: Cristin | Links:
@article{cristin2000622,
title = {Responsible media technology and AI: challenges and research directions},
author = {Christoph Trattner and Dietmar Jannach and Enrico Motta and Irene Costera Meijer and Nicholas Diakopoulos and Mehdi Elahi and Andreas L. Opdahl and Bjørnar Tessem and Njål Borch and Morten Fjeld and Lilja Øvrelid and Koenraad De Smedt and Hallvard Moe},
url = {https://app.cristin.no/results/show.jsf?id=2000622, Cristin
https://link.springer.com/content/pdf/10.1007/s43681-021-00126-4.pdf},
doi = {https://doi.org/10.1007/s43681-021-00126-4},
year = {2021},
date = {2021-12-20},
urldate = {2021-12-20},
journal = {AI and Ethics},
keywords = {Cristin},
pubstate = {published},
tppubtype = {article}
}
Mehdi Elahi; Dietmar Jannach; Lars Skjærven; Erik Knudsen; Helle Sjøvaag; Kristian Tolonen; Øyvind Holmstad; Igor Pipkin; Eivind Throndsen; Agnes Stenbom; Eivind Fiskerud; Adrian Oesch; Loek Vredenberg; Christoph Trattner
Towards Responsible Media Recommendation Journal Article
In: AI and Ethics, 2021.
BibTeX | Tags: Cristin | Links:
@article{cristin1953352,
title = {Towards Responsible Media Recommendation},
author = {Mehdi Elahi and Dietmar Jannach and Lars Skjærven and Erik Knudsen and Helle Sjøvaag and Kristian Tolonen and Øyvind Holmstad and Igor Pipkin and Eivind Throndsen and Agnes Stenbom and Eivind Fiskerud and Adrian Oesch and Loek Vredenberg and Christoph Trattner},
url = {https://app.cristin.no/results/show.jsf?id=1953352, Cristin
https://link.springer.com/article/10.1007%2Fs43681-021-00107-7},
doi = {https://doi.org/10.1007/s43681-021-00107-7},
year = {2021},
date = {2021-11-02},
journal = {AI and Ethics},
keywords = {Cristin},
pubstate = {published},
tppubtype = {article}
}
Bjørnar Tessem
Når kunstig intelligens inntar redaksjonen Medium
2021.
BibTeX | Tags: Cristin | Links:
@media{cristin1942282,
title = {Når kunstig intelligens inntar redaksjonen},
author = {Bjørnar Tessem},
url = {https://app.cristin.no/results/show.jsf?id=1942282, Cristin},
year = {2021},
date = {2021-10-01},
keywords = {Cristin},
pubstate = {published},
tppubtype = {media}
}
Are Tverberg; Ingrid Agasøster; Mads Grønbæck; Marius Monsen; Robert Strand; Kristian Eikeland; Eivind Throndsen; Lars Westvang; Tove B. Knudsen; Eivind Fiskerud; Rune Skår; Sergej Stoppel; Arne Berven; Glenn Skare Pedersen; Paul Macklin; Kenneth Cuomo; Loek Vredenberg; Kristian Tolonen; Andreas L. Opdahl; Bjørnar Tessem; Csaba Veres; Duc-Tien Dang-Nguyen; Enrico Motta; Vinay Jayarama Setty
WP3 2021 M3.1 Report The industrial expectations to, needs from and wishes for the work package Technical Report
University of Bergen, MediaFutures 2021.
BibTeX | Tags: New, WP3: Media Content Production and Analysis | Links:
@techreport{Tverberg2021,
title = {WP3 2021 M3.1 Report The industrial expectations to, needs from and wishes for the work package},
author = {Are Tverberg and Ingrid Agasøster and Mads Grønbæck and Marius Monsen and Robert Strand and Kristian Eikeland and Eivind Throndsen and Lars Westvang and Tove B. Knudsen and Eivind Fiskerud and Rune Skår and Sergej Stoppel and Arne Berven and Glenn Skare Pedersen and Paul Macklin and Kenneth Cuomo and Loek Vredenberg and Kristian Tolonen and Andreas L. Opdahl and Bjørnar Tessem and Csaba Veres and Duc-Tien Dang-Nguyen and Enrico Motta and Vinay Jayarama Setty},
url = {https://mediafutures.no/wp3-q2-2021-m3-1-report-by-the-industrial-partners-final-2/},
year = {2021},
date = {2021-07-25},
urldate = {2021-07-25},
institution = {University of Bergen, MediaFutures},
keywords = {New, WP3: Media Content Production and Analysis},
pubstate = {published},
tppubtype = {techreport}
}
Khanh-Duy Le; Tanh Quang Tran; Karol Chlasta; Krzysztof Krejtz; Morten Fjeld; Andreas Kunz
VXSlate: Exploring Combination of Head Movements and Mobile Touch for Large Virtual Display Interaction Proceedings
Association for Computing Machinery, New York, NY, USA, 2021, ISBN: 978-1-4503-8476-6.
BibTeX | Tags: WP4: Media Content Interaction and Accessibility | Links:
@proceedings{Kunz2021,
title = {VXSlate: Exploring Combination of Head Movements and Mobile Touch for Large Virtual Display Interaction},
author = {Khanh-Duy Le and Tanh Quang Tran and Karol Chlasta and Krzysztof Krejtz and Morten Fjeld and Andreas Kunz},
doi = {https://doi.org/10.1145/3461778.3462076},
isbn = {978-1-4503-8476-6},
year = {2021},
date = {2021-06-28},
journal = {DIS '21: Designing Interactive Systems Conference 2021},
pages = {283–297},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
keywords = {WP4: Media Content Interaction and Accessibility},
pubstate = {published},
tppubtype = {proceedings}
}
Minha Lee; Renee Noortman; Cristina Zaga; Alain D. Starke; Gijs Huisman; Kristina Andersen
Conversational Futures: Emancipating Conversational Interactions for Futures Worth Wanting Conference
no. May 2021, 2021.
Abstract | BibTeX | Tags: Conversational user interfaces, critical design, design fiction, futuring, speculative design | Links:
@conference{Lee2021,
title = {Conversational Futures: Emancipating Conversational Interactions for Futures Worth Wanting},
author = {Minha Lee and Renee Noortman and Cristina Zaga and Alain D. Starke and Gijs Huisman and Kristina Andersen},
url = {https://minha-lee.github.io/files/mlee_Conversational_Futures_CHI2021.pdf},
year = {2021},
date = {2021-05-13},
number = {May 2021},
pages = {1-13},
abstract = {We present a vision for conversational user interfaces (CUIs) asprobes forspeculating with, rather than as objects to speculateabout. Popular CUIs, e.g., Alexa, are changing the way we converse,narrate, and imagine the world(s) to come. Yet, current conversa-tional interactions normatively may promote non-desirable ends,delivering a restricted range of request-response interactions withsexist and digital colonialist tendencies. Our critical design ap-proach envisions alternatives by considering how future voices canreside in CUIs as enabling probes. We present novel explorationsthat illustrate the potential of CUIs as critical design material, bycritiquing present norms and conversing with imaginary species.As micro-level interventions, we show that conversationswithdi-verse futuresthroughCUIs can persuade us to critically shape ourdiscourse on macro-scale concerns of the present, e.g., sustainabil-ity. We reflect on how conversational interactions with pluralistic,imagined futures can contribute to howbeing humanstands tochange.},
keywords = {Conversational user interfaces, critical design, design fiction, futuring, speculative design},
pubstate = {published},
tppubtype = {conference}
}
We present a vision for conversational user interfaces (CUIs) asprobes forspeculating with, rather than as objects to speculateabout. Popular CUIs, e.g., Alexa, are changing the way we converse,narrate, and imagine the world(s) to come. Yet, current conversa-tional interactions normatively may promote non-desirable ends,delivering a restricted range of request-response interactions withsexist and digital colonialist tendencies. Our critical design ap-proach envisions alternatives by considering how future voices canreside in CUIs as enabling probes. We present novel explorationsthat illustrate the potential of CUIs as critical design material, bycritiquing present norms and conversing with imaginary species.As micro-level interventions, we show that conversationswithdi-verse futuresthroughCUIs can persuade us to critically shape ourdiscourse on macro-scale concerns of the present, e.g., sustainabil-ity. We reflect on how conversational interactions with pluralistic,imagined futures can contribute to howbeing humanstands tochange.
Alain D. Starke; Martijn C. Willemsen; Christoph Trattner
Nudging Healthy Choices in Food Search Through Visual Attractiveness Journal Article
In: no. April 2021, pp. 1-18, 2021.
Abstract | BibTeX | Tags: WP2: User Modeling Personalization and Engagement | Links:
@article{Starke2021,
title = {Nudging Healthy Choices in Food Search Through Visual Attractiveness},
author = {Alain D. Starke and Martijn C. Willemsen and Christoph Trattner},
url = {https://www.frontiersin.org/articles/10.3389/frai.2021.621743/full},
doi = {10.3389/frai.2021.621743},
year = {2021},
date = {2021-04-22},
number = {April 2021},
pages = {1-18},
abstract = {Recipe websites are becoming increasingly popular to support people in their home cooking. However, most of these websites prioritize popular recipes, which tend to be unhealthy. Drawing upon research on visual biases and nudges, this paper investigates whether healthy food choices can be supported in food search by depicting attractive images alongside recipes, as well as by re-ranking search results on health. After modelling the visual attractiveness of recipe images, we asked 239 users to search for specific online recipes and to select those they liked the most. Our analyses revealed that users tended to choose a healthier recipe if a visually attractive image was depicted alongside it, as well as if it was listed at the top of a list of search results. Even though less popular recipes were promoted this way, it did not come at the cost of a user’s level of satisfaction},
keywords = {WP2: User Modeling Personalization and Engagement},
pubstate = {published},
tppubtype = {article}
}
Recipe websites are becoming increasingly popular to support people in their home cooking. However, most of these websites prioritize popular recipes, which tend to be unhealthy. Drawing upon research on visual biases and nudges, this paper investigates whether healthy food choices can be supported in food search by depicting attractive images alongside recipes, as well as by re-ranking search results on health. After modelling the visual attractiveness of recipe images, we asked 239 users to search for specific online recipes and to select those they liked the most. Our analyses revealed that users tended to choose a healthier recipe if a visually attractive image was depicted alongside it, as well as if it was listed at the top of a list of search results. Even though less popular recipes were promoted this way, it did not come at the cost of a user’s level of satisfaction
Dietmar Jannach; Mathias Jesse; Michael Jugovac; Christoph Trattner
Exploring Multi-List User Interfaces for Similar-Item Recommendations Conference
29th ACM International Conference on User Modeling, Adaptation and Personalization (UMAP '21) 2021.
Abstract | BibTeX | Tags: Recommender system, User Interface, User Study | Links:
@conference{Jannach2021,
title = {Exploring Multi-List User Interfaces for Similar-Item Recommendations},
author = {Dietmar Jannach and Mathias Jesse and Michael Jugovac and Christoph Trattner},
url = {https://mediafutures.no/conference_umap_2021-2/},
year = {2021},
date = {2021-03-26},
organization = {29th ACM International Conference on User Modeling, Adaptation and Personalization (UMAP '21)},
abstract = {On many e-commerce and media streaming sites, the user inter-face (UI) consists of multiple lists of item suggestions. The itemsin each list are usually chosen based on pre-defined strategies and,e.g., show movies of the same genre or category. Such interfacesare common in practice, but there is almost no academic researchregarding the optimal design and arrangement of such multi-listUIs for recommenders. In this paper, we report the results of anexploratory user study that examined the effects of various designalternatives on the decision-making behavior of users in the con-text of similar-item recommendations. Our investigations showed,among other aspects, that decision-making is slower and more de-manding with multi-list interfaces, but that users also explore moreoptions before making a decision. Regarding the selection of thealgorithm to retrieve similar items, our study furthermore revealsthe importance of considering social-based similarity measures.},
keywords = {Recommender system, User Interface, User Study},
pubstate = {published},
tppubtype = {conference}
}
On many e-commerce and media streaming sites, the user inter-face (UI) consists of multiple lists of item suggestions. The itemsin each list are usually chosen based on pre-defined strategies and,e.g., show movies of the same genre or category. Such interfacesare common in practice, but there is almost no academic researchregarding the optimal design and arrangement of such multi-listUIs for recommenders. In this paper, we report the results of anexploratory user study that examined the effects of various designalternatives on the decision-making behavior of users in the con-text of similar-item recommendations. Our investigations showed,among other aspects, that decision-making is slower and more de-manding with multi-list interfaces, but that users also explore moreoptions before making a decision. Regarding the selection of thealgorithm to retrieve similar items, our study furthermore revealsthe importance of considering social-based similarity measures.
Lars Nyre; Bjørnar Tessem
Automatiske nyhende Online
Dag og Tid 2021, visited: 26.03.2021.
BibTeX | Tags: WP3: Media Content Production and Analysis | Links:
@online{Tessem2021,
title = {Automatiske nyhende},
author = {Lars Nyre and Bjørnar Tessem},
url = {https://www.dagogtid.no/feature/automatiske-nyhende-6.3.20626.2396ffd8e5},
year = {2021},
date = {2021-03-26},
urldate = {2021-03-26},
journal = {Dag og Tid},
number = {12},
organization = {Dag og Tid},
keywords = {WP3: Media Content Production and Analysis},
pubstate = {published},
tppubtype = {online}
}
Khanh-Duy Le; Tanh Quang Tran; Karol Chlasta; Krzysztof Krejtz; Morten Fjeld; Andreas Kunz
VXSlate: Combining Head Movement and Mobile Touch for Large Virtual Display Interaction Conference
2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). IEEE The Institute of Electrical and Electronics Engineers, Inc., 2021.
Abstract | BibTeX | Tags: Human computer interaction, Human-centered computing, Interaction techniques, SFI MediaFutures, Virtual Reality, WP4: Media Content Interaction and Accessibility | Links:
@conference{Le2021b,
title = {VXSlate: Combining Head Movement and Mobile Touch for Large Virtual Display Interaction},
author = {Khanh-Duy Le and Tanh Quang Tran and Karol Chlasta and Krzysztof Krejtz and Morten Fjeld and Andreas Kunz},
url = {https://conferences.computer.org/vrpub/pdfs/VRW2021-2ANNoldm4A10Ml9f63uYC9/136700a528/136700a528.pdf
https://www.youtube.com/watch?v=N8ZJlKWj4mk&ab_channel=DuyL%C3%AAKh%C3%A1nh},
doi = { 10.1109/VRW52623.2021.00146},
year = {2021},
date = {2021-02-12},
pages = {528-529},
publisher = {IEEE The Institute of Electrical and Electronics Engineers, Inc.},
organization = {2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW).},
abstract = {Virtual Reality (VR) headsets can open opportunities for users to accomplish complex tasks on large virtual displays, using compact setups. However, interacting with large virtual displays using existing interaction techniques might cause fatigue, especially for precise manipulations, due to the lack of physical surfaces. We designed VXSlate, an interaction technique that uses a large virtual display, as an expansion of a tablet. VXSlate combines a user’s head movements, as tracked by the VR headset, and touch interaction on the tablet. The user’s head movements position both a virtual representation of the tablet and of the user’s hand on the large virtual display. The user’s multi-touch interactions perform finely-tuned content manipulations.},
keywords = {Human computer interaction, Human-centered computing, Interaction techniques, SFI MediaFutures, Virtual Reality, WP4: Media Content Interaction and Accessibility},
pubstate = {published},
tppubtype = {conference}
}
Virtual Reality (VR) headsets can open opportunities for users to accomplish complex tasks on large virtual displays, using compact setups. However, interacting with large virtual displays using existing interaction techniques might cause fatigue, especially for precise manipulations, due to the lack of physical surfaces. We designed VXSlate, an interaction technique that uses a large virtual display, as an expansion of a tablet. VXSlate combines a user’s head movements, as tracked by the VR headset, and touch interaction on the tablet. The user’s head movements position both a virtual representation of the tablet and of the user’s hand on the large virtual display. The user’s multi-touch interactions perform finely-tuned content manipulations.
Jelena Kleut; Ana Milojevic
Framing Protest in Online News and Readers’ Comments: The Case of Serbian Protest “Against Dictatorship” Journal Article
In: International Journal of Communication, vol. 15, no. 21, pp. 82-102, 2021, (Pre SFI).
Abstract | BibTeX | Tags: framing, Online Media, polarized media system, protest paradigm, user comments, WP1: Understanding Media Experiences | Links:
@article{Kleut2021,
title = {Framing Protest in Online News and Readers’ Comments: The Case of Serbian Protest “Against Dictatorship”},
author = {Jelena Kleut and Ana Milojevic},
url = {https://www.researchgate.net/publication/348787747_Framing_Protest_in_Online_News_and_Readers\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\'_Comments_The_Case_of_Serbian_Protest_Against_Dictatorship},
year = {2021},
date = {2021-01-01},
journal = {International Journal of Communication},
volume = {15},
number = {21},
pages = {82-102},
series = {Not connected to SFI MediaFutures},
abstract = {This research examines the "protest paradigm" in the digital news environment of a politically polarized media system by considering relations between news and online readers' comments about the Serbian protest Against Dictatorship, which was held in 2017. Applying content analysis to news and comments from two news websites, our study indicates the need to account for opposing framing of the protest (violence/peacefulness, de/legitimizing and un/democratic) in a polarized environment. The results show that the distribution of opposing frames is guided by the media relations with the government. Online readers' comments generally enhance this polarized pattern of frame distribution, with the exception of the performance frame, which remains prolific in the media, but absent from readers' comments.},
note = {Pre SFI},
keywords = {framing, Online Media, polarized media system, protest paradigm, user comments, WP1: Understanding Media Experiences},
pubstate = {published},
tppubtype = {article}
}
This research examines the "protest paradigm" in the digital news environment of a politically polarized media system by considering relations between news and online readers' comments about the Serbian protest Against Dictatorship, which was held in 2017. Applying content analysis to news and comments from two news websites, our study indicates the need to account for opposing framing of the protest (violence/peacefulness, de/legitimizing and un/democratic) in a polarized environment. The results show that the distribution of opposing frames is guided by the media relations with the government. Online readers' comments generally enhance this polarized pattern of frame distribution, with the exception of the performance frame, which remains prolific in the media, but absent from readers' comments.
Lars Nyre; Bjørnar Tessem
Auka røynd (AR) Medium
Dag og Tid, 2021.
BibTeX | Tags: Cristin | Links:
@media{cristin1894361,
title = {Auka røynd (AR)},
author = {Lars Nyre and Bjørnar Tessem},
url = {https://app.cristin.no/results/show.jsf?id=1894361, Cristin},
year = {2021},
date = {2021-01-01},
howpublished = {Dag og Tid},
keywords = {Cristin},
pubstate = {published},
tppubtype = {media}
}
Lars Nyre; Bjørnar Tessem
Ting i internettet Medium
Dag og Tid, 2021.
BibTeX | Tags: Cristin | Links:
@media{cristin1931531,
title = {Ting i internettet},
author = {Lars Nyre and Bjørnar Tessem},
url = {https://app.cristin.no/results/show.jsf?id=1931531, Cristin},
year = {2021},
date = {2021-01-01},
howpublished = {Dag og Tid},
keywords = {Cristin},
pubstate = {published},
tppubtype = {media}
}
Lars Nyre; Bjørnar Tessem
Automatiske nyhende Medium
Dag og Tid, 2021.
BibTeX | Tags: Cristin | Links:
@media{cristin1905817,
title = {Automatiske nyhende},
author = {Lars Nyre and Bjørnar Tessem},
url = {https://app.cristin.no/results/show.jsf?id=1905817, Cristin},
year = {2021},
date = {2021-01-01},
howpublished = {Dag og Tid},
keywords = {Cristin},
pubstate = {published},
tppubtype = {media}
}
Erik Knudsen; Hallvard Moe
EN ANALYSE AV SAMMENHENGEN MELLOM BRUK AV NRKS DIGITALE NYHETSTILBUD OG BETALINGSVILJE FOR DIGITALE NYHETER Technical Report
2021.
BibTeX | Tags: Cristin | Links:
@techreport{cristin1958452,
title = {EN ANALYSE AV SAMMENHENGEN MELLOM BRUK AV NRKS DIGITALE NYHETSTILBUD OG BETALINGSVILJE FOR DIGITALE NYHETER},
author = {Erik Knudsen and Hallvard Moe},
url = {https://app.cristin.no/results/show.jsf?id=1958452, Cristin},
year = {2021},
date = {2021-01-01},
keywords = {Cristin},
pubstate = {published},
tppubtype = {techreport}
}
Samia Touileb; Lilja Øvrelid; Erik Velldal
Using Gender- and Polarity-informed Models to Investigate Bias Working paper
2021.
BibTeX | Tags: Cristin | Links:
@workingpaper{cristin1958571,
title = {Using Gender- and Polarity-informed Models to Investigate Bias},
author = {Samia Touileb and Lilja Øvrelid and Erik Velldal},
url = {https://app.cristin.no/results/show.jsf?id=1958571, Cristin},
year = {2021},
date = {2021-01-01},
keywords = {Cristin},
pubstate = {published},
tppubtype = {workingpaper}
}
Mehdi Elahi; Øyvind Johannessen
Novel Methods Using Human Emotion and Visual Features for Recommending Movies Masters Thesis
Universitetet i Bergen, 2021.
Abstract | BibTeX | Tags: Cristin | Links:
@mastersthesis{cristin1957008,
title = {Novel Methods Using Human Emotion and Visual Features for Recommending Movies},
author = {Mehdi Elahi and Øyvind Johannessen},
url = {https://app.cristin.no/results/show.jsf?id=1957008, Cristin},
year = {2021},
date = {2021-01-01},
school = {Universitetet i Bergen},
abstract = {This master thesis investigates novel methods using human emotion as contextual information to estimate and elicit ratings when watching movie trailers. The aim is to acquire user preferences without the intrusive and time-consuming behavior of Explicit Feedback strategies, and generate quality recommendations. The proposed preference-elicitation technique is implemented as an Emotion-based Filtering technique (EF) to generate recommendations, and is evaluated against two other recommendation techniques. One Visual-based Filtering technique, using low-level visual features of movies, and one Collaborative Filtering (CF) using explicit ratings. In terms of Accuracy, we found the Emotion-based Filtering technique (EF) to perform better than the two other filtering techniques. In terms of Diversity, the Visual-based Filtering (VF) performed best. We further analyse the obtained data to see if movie genres tend to induce specific emotions, and the potential correlation between emotional responses of users and visual features of movie trailers. When investigating emotional responses, we found that joy and disgust tend to be more prominent in movie genres than other emotions. Our findings also suggest potential correlations on a per movie level. The proposed Emotion-based Filtering technique can be adopted as an Implicit Feedback strategy to obtain user preferences. For future work, we will extend the experiment with more participants and build stronger affective profiles to be studied when recommending movies.},
keywords = {Cristin},
pubstate = {published},
tppubtype = {mastersthesis}
}
This master thesis investigates novel methods using human emotion as contextual information to estimate and elicit ratings when watching movie trailers. The aim is to acquire user preferences without the intrusive and time-consuming behavior of Explicit Feedback strategies, and generate quality recommendations. The proposed preference-elicitation technique is implemented as an Emotion-based Filtering technique (EF) to generate recommendations, and is evaluated against two other recommendation techniques. One Visual-based Filtering technique, using low-level visual features of movies, and one Collaborative Filtering (CF) using explicit ratings. In terms of Accuracy, we found the Emotion-based Filtering technique (EF) to perform better than the two other filtering techniques. In terms of Diversity, the Visual-based Filtering (VF) performed best. We further analyse the obtained data to see if movie genres tend to induce specific emotions, and the potential correlation between emotional responses of users and visual features of movie trailers. When investigating emotional responses, we found that joy and disgust tend to be more prominent in movie genres than other emotions. Our findings also suggest potential correlations on a per movie level. The proposed Emotion-based Filtering technique can be adopted as an Implicit Feedback strategy to obtain user preferences. For future work, we will extend the experiment with more participants and build stronger affective profiles to be studied when recommending movies.
Ingar M Arntzen; Njål Borch; Anders Andersen
Unify Media and UX with timed variables Working paper
2021.
BibTeX | Tags: Cristin | Links:
@workingpaper{cristin1959749,
title = {Unify Media and UX with timed variables},
author = {Ingar M Arntzen and Njål Borch and Anders Andersen},
url = {https://app.cristin.no/results/show.jsf?id=1959749, Cristin},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
keywords = {Cristin},
pubstate = {published},
tppubtype = {workingpaper}
}
Mehdi Elahi; Tord Kvifte
Video Recommendations Based on Visual Features Extracted with Deep Learning Masters Thesis
Universitetet i Bergen, 2021.
Abstract | BibTeX | Tags: Cristin | Links:
@mastersthesis{cristin1956990,
title = {Video Recommendations Based on Visual Features Extracted with Deep Learning},
author = {Mehdi Elahi and Tord Kvifte},
url = {https://app.cristin.no/results/show.jsf?id=1956990, Cristin
https://hdl.handle.net/11250/2760300},
year = {2021},
date = {2021-01-01},
school = {Universitetet i Bergen},
abstract = {When a movie is uploaded to a movie Recommender System (e.g., YouTube), the system can exploit various forms of descriptive features (e.g., tags and genre) in order to generate personalized recommendation for users. However, there are situations where the descriptive features are missing or very limited and the system may fail to include such a movie in the recommendation list, known as Cold-start problem. This thesis investigates recommendation based on a novel form of content features, extracted from movies, in order to generate recommendation for users. Such features represent the visual aspects of movies, based on Deep Learning models, and hence, do not require any human annotation when extracted. The proposed technique has been evaluated in both offline and online evaluations using a large dataset of movies. The online evaluation has been carried out in a evaluation framework developed for this thesis. Results from the offline and online evaluation (N=150) show that automatically extracted visual features can mitigate the cold-start problem by generating recommendation with a superior quality compared to different baselines, including recommendation based on human-annotated features. The results also point to subtitles as a high-quality future source of automatically extracted features. The visual feature dataset, named DeepCineProp13K and the subtitle dataset, CineSub3K, as well as the proposed evaluation framework are all made openly available online in a designated Github repository.},
keywords = {Cristin},
pubstate = {published},
tppubtype = {mastersthesis}
}
When a movie is uploaded to a movie Recommender System (e.g., YouTube), the system can exploit various forms of descriptive features (e.g., tags and genre) in order to generate personalized recommendation for users. However, there are situations where the descriptive features are missing or very limited and the system may fail to include such a movie in the recommendation list, known as Cold-start problem. This thesis investigates recommendation based on a novel form of content features, extracted from movies, in order to generate recommendation for users. Such features represent the visual aspects of movies, based on Deep Learning models, and hence, do not require any human annotation when extracted. The proposed technique has been evaluated in both offline and online evaluations using a large dataset of movies. The online evaluation has been carried out in a evaluation framework developed for this thesis. Results from the offline and online evaluation (N=150) show that automatically extracted visual features can mitigate the cold-start problem by generating recommendation with a superior quality compared to different baselines, including recommendation based on human-annotated features. The results also point to subtitles as a high-quality future source of automatically extracted features. The visual feature dataset, named DeepCineProp13K and the subtitle dataset, CineSub3K, as well as the proposed evaluation framework are all made openly available online in a designated Github repository.
Mehdi Elahi; Himan Abdollahpouri; Masoud Mansoury; Helma Torkamaan
Beyond Algorithmic Fairness in Recommender System Working paper
2021.
BibTeX | Tags: Cristin | Links:
@workingpaper{cristin1957035,
title = {Beyond Algorithmic Fairness in Recommender System},
author = {Mehdi Elahi and Himan Abdollahpouri and Masoud Mansoury and Helma Torkamaan},
url = {https://app.cristin.no/results/show.jsf?id=1957035, Cristin
https://dl.acm.org/doi/abs/10.1145/3450614.3461685},
year = {2021},
date = {2021-01-01},
keywords = {Cristin},
pubstate = {published},
tppubtype = {workingpaper}
}
Mehdi Elahi; Farshad Bakhshandegan Moghaddam; Reza Hosseini; Mohammad Hossein Rimaz; Christoph Trattner
Enhanced Movie Recommendation Incorporating Visual Features Working paper
2021.
BibTeX | Tags: Cristin | Links:
@workingpaper{cristin1957034,
title = {Enhanced Movie Recommendation Incorporating Visual Features},
author = {Mehdi Elahi and Farshad Bakhshandegan Moghaddam and Reza Hosseini and Mohammad Hossein Rimaz and Christoph Trattner},
url = {https://app.cristin.no/results/show.jsf?id=1957034, Cristin},
year = {2021},
date = {2021-01-01},
keywords = {Cristin},
pubstate = {published},
tppubtype = {workingpaper}
}
Erik Knudsen
Medieundersøkelsen 2021: Har koronadekningen svekket tilliten til mediene? Presentation
Nordiske Mediedager 2021, 01.01.2021.
BibTeX | Tags: Cristin | Links:
@misc{cristin1957213,
title = {Medieundersøkelsen 2021: Har koronadekningen svekket tilliten til mediene?},
author = {Erik Knudsen},
url = {https://app.cristin.no/results/show.jsf?id=1957213, Cristin
https://www.nordiskemediedager.no/medieundersoekelsen/medieundersoekelsen/},
year = {2021},
date = {2021-01-01},
howpublished = {Nordiske Mediedager 2021},
keywords = {Cristin},
pubstate = {published},
tppubtype = {presentation}
}
Erik Knudsen; Åsta Dyrnes Nordø; Magnus Hoem Iversen
The Effect of the COVID-19 Pandemic Crisis on Trust in the News Media: Evidence From Three Panel Waves With a Pre-Crisis Baseline Erik Knudsen Presentation
71st Annual ICA Conference, 01.01.2021.
BibTeX | Tags: Cristin | Links:
@misc{cristin1957204,
title = {The Effect of the COVID-19 Pandemic Crisis on Trust in the News Media: Evidence From Three Panel Waves With a Pre-Crisis Baseline Erik Knudsen},
author = {Erik Knudsen and Åsta Dyrnes Nordø and Magnus Hoem Iversen},
url = {https://app.cristin.no/results/show.jsf?id=1957204, Cristin},
year = {2021},
date = {2021-01-01},
howpublished = {71st Annual ICA Conference},
keywords = {Cristin},
pubstate = {published},
tppubtype = {presentation}
}
Erik Knudsen
The Promise and Perils of Algorithmic News Recommenders' Influence on Democracy Presentation
TEDxBergen2021, 01.01.2021.
BibTeX | Tags: Cristin | Links:
@misc{cristin1957207,
title = {The Promise and Perils of Algorithmic News Recommenders' Influence on Democracy},
author = {Erik Knudsen},
url = {https://app.cristin.no/results/show.jsf?id=1957207, Cristin
https://youtu.be/B3qHJC5LwJQ},
year = {2021},
date = {2021-01-01},
howpublished = {TEDxBergen2021},
keywords = {Cristin},
pubstate = {published},
tppubtype = {presentation}
}
Erik Knudsen
How can news sites personalize audiences's news experiences without making audiences more polarized and fragmented? Working paper
2021.
BibTeX | Tags: Cristin | Links:
@workingpaper{cristin1957727,
title = {How can news sites personalize audiences's news experiences without making audiences more polarized and fragmented? },
author = {Erik Knudsen},
url = {https://app.cristin.no/results/show.jsf?id=1957727, Cristin},
year = {2021},
date = {2021-01-01},
keywords = {Cristin},
pubstate = {published},
tppubtype = {workingpaper}
}
John Magnus Ragnhildson Dahl
What can TV companies do for teenagers who are on their phone all the time? Working paper
2021.
BibTeX | Tags: Cristin | Links:
@workingpaper{cristin1957717,
title = {What can TV companies do for teenagers who are on their phone all the time?},
author = {John Magnus Ragnhildson Dahl},
url = {https://app.cristin.no/results/show.jsf?id=1957717, Cristin},
year = {2021},
date = {2021-01-01},
keywords = {Cristin},
pubstate = {published},
tppubtype = {workingpaper}
}
Ana Milojevic
Datafication, Media and Democracy: Transformation of news work in datafied society Working paper
2021.
BibTeX | Tags: Cristin | Links:
@workingpaper{cristin1957739,
title = {Datafication, Media and Democracy: Transformation of news work in datafied society},
author = {Ana Milojevic},
url = {https://app.cristin.no/results/show.jsf?id=1957739, Cristin},
year = {2021},
date = {2021-01-01},
keywords = {Cristin},
pubstate = {published},
tppubtype = {workingpaper}
}
Marianne Borchgrevink-Brækhus
Why won't young people pay for news? Working paper
2021.
BibTeX | Tags: Cristin | Links:
@workingpaper{cristin1957735,
title = {Why won't young people pay for news?},
author = {Marianne Borchgrevink-Brækhus},
url = {https://app.cristin.no/results/show.jsf?id=1957735, Cristin},
year = {2021},
date = {2021-01-01},
keywords = {Cristin},
pubstate = {published},
tppubtype = {workingpaper}
}
Lars Nyre; Bjørnar Tessem
Kva datamaskiner kan gjere Medium
Dag og Tid, 2021.
BibTeX | Tags: Cristin | Links:
@media{cristin1957728,
title = {Kva datamaskiner kan gjere},
author = {Lars Nyre and Bjørnar Tessem},
url = {https://app.cristin.no/results/show.jsf?id=1957728, Cristin},
year = {2021},
date = {2021-01-01},
howpublished = {Dag og Tid},
keywords = {Cristin},
pubstate = {published},
tppubtype = {media}
}
Hallvard Moe
Fake news og mediebruk Presentation
Vestlandsseminaret, 01.01.2021.
BibTeX | Tags: Cristin | Links:
@misc{cristin1957718,
title = {Fake news og mediebruk},
author = {Hallvard Moe},
url = {https://app.cristin.no/results/show.jsf?id=1957718, Cristin},
year = {2021},
date = {2021-01-01},
howpublished = {Vestlandsseminaret},
keywords = {Cristin},
pubstate = {published},
tppubtype = {presentation}
}
Sarah Ljungblad; Yemao Man; Mehmet Aydın Baytaş; Mafalda Gamboa; Morten Fjeld; Mohammad Obaid
What Matters in Professional Drone Pilots’ Practice? An Interview Study to Understand the Complexity of Their Work and Inform Human-Drone Interaction Research Proceedings
ACM CHI on human factors in computing systems conference proceeding, 2021.
BibTeX | Tags: Cristin | Links:
@proceedings{cristin2003885,
title = {What Matters in Professional Drone Pilots’ Practice? An Interview Study to Understand the Complexity of Their Work and Inform Human-Drone Interaction Research},
author = {Sarah Ljungblad and Yemao Man and Mehmet Aydın Baytaş and Mafalda Gamboa and Morten Fjeld and Mohammad Obaid},
url = {https://app.cristin.no/results/show.jsf?id=2003885, Cristin},
year = {2021},
date = {2021-01-01},
howpublished = {ACM CHI on human factors in computing systems conference proceeding},
keywords = {Cristin},
pubstate = {published},
tppubtype = {proceedings}
}
Lars Nyre; Bjørnar Tessem
Kvifor Google-briller vart ein fiasko Medium
Dag og Tid, 2021.
BibTeX | Tags: Cristin | Links:
@media{cristin1942262,
title = {Kvifor Google-briller vart ein fiasko},
author = {Lars Nyre and Bjørnar Tessem},
url = {https://app.cristin.no/results/show.jsf?id=1942262, Cristin},
year = {2021},
date = {2021-01-01},
howpublished = {Dag og Tid},
keywords = {Cristin},
pubstate = {published},
tppubtype = {media}
}
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