Adapting Recommendation to User Engagement, 2015

Authors: Daniel Boland, Roderick Murray-Smith
Type: Conference paper
Conference: SIGCHI 2015
Title: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Year: 2015

Abstract: We argue for interactions that can adapt to the degree of involvement and control that users wish to have i.e. their engagement. We consider the case of a music recommender system, and the need to strike a balance between offering users too-much-choice while still empowering them with their desired level of control. A design exercise identifies the optimisation challenges in such an approach.

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