Paper Info
Title
Personality Traits Predict Music Taxonomy Preferences
Abstract
Music streaming services increasingly incorporate additional music taxonomies (i.e., mood, activity, and genre) to provide users different ways to browse through music collections. However, these additional taxonomies can distract the user from reaching their music goal, and influence choice satisfaction. We conducted an online user study with an application called \"Tune-A-Find,\" where we measured participants' music taxonomy choice (mood, activity, and genre). Among 297 participants, we found that the chosen taxonomy is related to personality traits. We found that openness to experience increased the choice for browsing music by mood, while conscientiousness increased the choice for browsing music by activity. In addition, those high in neuroticism were most likely to browse for music by activity or genre. Our findings can support music streaming services to further personalize user interfaces. By knowing the user's personality, the user interface can adapt to the user's preferred way of music browsing.
Year
DOI
Venue
2015
10.1145/2702613.2732754
CHI Extended Abstracts
Keywords
Field
DocType
taxonomy,user interfaces,music,personality,recommender systems
Recommender system,Big Five personality traits,Neuroticism,Mood,Computer science,Openness to experience,Conscientiousness,User interface,Multimedia,Personality
Conference
Citations 
PageRank 
References 
24
1.50
4
Authors
4
Name
Order
Citations
PageRank
Bruce Ferwerda118218.19
Emily Yang2243.19
Markus Schedl31431117.09
Marko Tkalcic432933.68