TY - GEN
T1 - Likeness and dealbreakers
T2 - 14th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2013
AU - Kudeki, Mo
AU - Karahalios, Karrie
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Music
KW - impression formation
KW - listening history
KW - personality
KW - social networking service
KW - taste performance
UR - http://www.scopus.com/inward/record.url?scp=84883297089&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84883297089&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-40477-1_46
DO - 10.1007/978-3-642-40477-1_46
M3 - Conference contribution
AN - SCOPUS:84883297089
SN - 9783642404764
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 674
EP - 681
BT - Human-Computer Interaction, INTERACT 2013 - 14th IFIP TC 13 International Conference, Proceedings
Y2 - 2 September 2013 through 6 September 2013
ER -