What's the best music you have?: designing music recommendation for group enjoyment in groupfun

Authors:
George Popescu;Pearl Pu
Affiliations:
EPFL, Lausanne, Vaud, Switzerland;EPFL, Lausanne, Vaud, Switzerland
Venue:
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Year:
2012

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Abstract

Satisfaction and enjoyment are essential in group entertaining domains in which individuals share their preferences and actively participate in group decisions. Group recommender systems (GRS) do not yet employ methods and features allowing users to discover others' interests in an enjoyable fashion. Based on an in-depth user study and a user-centered design approach, we created GroupFun, a collaborative environment that help groups of friends' arrive at a common decision fostering group enjoyment and offering them a unique, fun music experience. We also conducted a user evaluation consisting in: system usage, questionnaires and open interviews to collect user feedback about our algorithms and interaction. Our results present GroupFun as an enjoyable and entertaining group decision platform which highly motivates users.