@article{Fjeld2020,

title = {Learn with Haptics: Improving Vocabulary Recall with Free-form Digital Annotation on Touchscreen Mobiles},

author = {Morten Fjeld and Smitha Sheshadri and Shengdong Zhao and Yang Cheng},

url = {https://dl.acm.org/doi/pdf/10.1145/3313831.3376272

https://www.youtube.com/watch?v=WY_T0fK5gCQ&ab_channel=ACMSIGCHI},

year  = {2020},

date = {2020-04-01},

urldate = {2020-04-01},

journal = {CHI 2020 Paper},

pages = {1-13},

abstract = {Mobile vocabulary learning interfaces typically present material only in auditory and visual channels, underutilizing the haptic modality. We explored haptic-integrated learning by adding free-form digital annotation to mobile vocabulary learning interfaces. Through a series of pilot studies, we identified three design factors: annotation mode, presentation sequence, and vibrotactile feedback, that influence recall in haptic-integrated vocabulary interfaces. These factors were then evaluated in a within-subject comparative study using a digital flashcard interface as baseline. Results using a 84-item vocabulary showed that the 'whole word' annotation mode is highly effective, yielding a 24.21% increase in immediate recall scores and a 30.36% increase in the 7-day delayed scores. Effects of presentation sequence and vibrotactile feedback were more transient; they affected the results of immediate tests, but not the delayed tests. We discuss the implications of these factors for designing future mobile learning applications.},

note = {Pre SFI},

keywords = {Haptics for Learning, Intersensory reinforced learning, Mobile Vocabulary Learning, Motoric Engagement, Multimodal Learning, WP4: Media Content Interaction and Accessibility},

pubstate = {published},

tppubtype = {article}

}