June 6, Professor Shlomo Berkovsky is coming to MediaFutures. He is lead at Clinical AI and Sensing Technologies research stream at the Center for Health Informatics at Marquarie University. Berkovsky has done work on food recommender systems and media technology.

Abstract:

The level of trust a user places in a recommender is crucial to the success of recommendations. Although prior work established factors that build and sustain user trust, their comparative power and impact on the uptake of recommendations received less attention. We conducted a user study examining the impact of various recommendation interfaces and content selection strategies on user trust. Following this, we conducted another study that evaluated the impact of including proponents (people or avatars) in the recommendation interface. We will discuss these results and implications on use and misuse in future recommendation interfaces.

Bio:

Shlomo Berkovsky is the leader of the Interactive Medical AI research stream at Macquarie University. The stream focuses on the use of Artificial Intelligence and Machine Learning methods to develop usable patient models and personalised predictions of diagnosis and care. The stream also studies how clinicians and patients interact with health technologies and how Large Language Models can improve patient care. His other areas of expertise include user modelling, online personalisation, and behaviour change technologies.