• DocumentCode
    650463
  • Title

    Evaluating MoodPic - a Concept for Collaborative Mood Music Playlist Creation

  • Author

    Lehtiniemi, Arto ; Ojala, Jarno

  • Author_Institution
    Nokia Res. Center, Tampere, Finland
  • fYear
    2013
  • fDate
    16-18 July 2013
  • Firstpage
    86
  • Lastpage
    95
  • Abstract
    This paper studies a MoodPic concept and a prototype implementation enabling collaborative creation of mood picture based musical play lists, evaluated qualitatively with 30 Finnish participants. In general, MoodPic was found to be a successful concept and stated to add novel experiences to music listening. Accessing music through mood pictures was highly appreciated and seen as a good way to discover new music over the genre boundaries and receive music recommendations from real users based on their mood picture interpretation. Sorting music based on mood pictures instead of genres was seen as an interesting and easy way to interact with music. Based on the interview results, this paper introduces several ideas for further improving the music listening experience using mood pictures as a basis for play lists. This paper summarizes the main findings and proposes an extensive set of generalized design implications to take into account when designing solutions for social music discovery.
  • Keywords
    data mining; music; social aspects of automation; MoodPic; collaborative mood music playlist creation; mood picture; music recommendations; musical play lists; social music discovery; Playlists; associations; design; music recommendation; musical mood; playlist; social interaction; user experience;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Visualisation (IV), 2013 17th International Conference
  • Conference_Location
    London
  • ISSN
    1550-6037
  • Type

    conf

  • DOI
    10.1109/IV.2013.10
  • Filename
    6676547