Like designers of recommender systems for individuals, those who design recommender systems for groups can benefit greatly from a thorough understanding of human decision making and ways of supporting it ‒ in particular decision making that occurs in a group context. But a comprehensive analysis with regard to groups has so far been lacking in the recommender systems field. This talk will present such an analysis in an accessible way, referring workshop participants to a recently completed chapter for the Recommender Systems Handbook (3rd edition) for further details and references [1] (a preprint is available on request from the first author).
2. Bio
Anthony Jameson's contributions to the field of recommender systems have focused on showing how an understanding of the psychological processes involved in individual and group decision making helps to generate new ideas for the design of recommender systems.
His chapter with Barry Smith titled Recommendation to Groups (2007) is one of the most influential publications on its topic. More general contributions include the book Choice Architecture for HumanComputer Interaction and the cofounding of the ACM Transactions on Interactive Intelligent Systems.
In 2017, he left his position as Principal Researcher at DFKI to found the startup Chusable AG (https://chusable.com), which creates software for the support of everyday decision making and the sharing of actionable knowledge.
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