%0 Conference Proceedings
%T Likeness and Dealbreakers: Interpreting Interpersonal Compatibility from Online Music Profiles
%+ University of Illinois System
%A Kudeki, Mo
%A Karahalios, Karrie
%Z Part 1: Long and Short Papers (Continued)
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 14th International Conference on Human-Computer Interaction (INTERACT)
%C Cape Town, South Africa
%Y Paula Kotzé
%Y Gary Marsden
%Y Gitte Lindgaard
%Y Janet Wesson
%Y Marco Winckler
%I Springer
%3 Human-Computer Interaction – INTERACT 2013
%V LNCS-8119
%N Part III
%P 674-681
%8 2013-09-02
%D 2013
%R 10.1007/978-3-642-40477-1_46
%K Music
%K listening history
%K taste performance
%K impression formation
%K personality
%K social networking service
%Z Computer Science [cs]Conference papers
%X How much would a stranger know about you if they knew only the last song you listened to? Quite a bit, at least according to the stranger. Music taste often acts as proxy for our personalities, and we constantly perform this taste perception online. In our study, we find that good first impressions are common, bad first impressions are extreme, and that people pick up on many subtle cues about personality and whether they share common values based on data found in an online music profile. Similar motivations for listening to music and the perception of individuality are more highly valued than similar taste in genres or artists, suggesting that social media applications could benefit from incorporating these motivations in predicting compatibility between users.
%G English
%Z TC 13
%2 https://inria.hal.science/hal-01504921/document
%2 https://inria.hal.science/hal-01504921/file/978-3-642-40477-1_46_Chapter.pdf
%L hal-01504921
%U https://inria.hal.science/hal-01504921
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC13
%~ IFIP-INTERACT
%~ IFIP-LNCS-8119