Personalized affective music player

Joris H. Janssen, Egon van den Broek, Joyce H.D.M. Westerink

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    18 Citations (Scopus)
    106 Downloads (Pure)


    We introduce and test an affective music player (AMP) that selects music for mood enhancement. Through a concise overview of content, construct, and ecological validity, we elaborate five considerations that form the foundation of the AMP. Based on these considerations, computational models are developed, using regression and kernel density estimation. We show how these models can be used for music selection and how they can be extended to fit in other systems. Subsequently, the success of the models is illustrated with a user test. The AMP augments music listening, where its techniques, in general, enable automated affect guidance. Finally, we argue that our AMP is readily applicable to real-world situations as it can 1) cope with noisy situations, 2) handle the large inter-individual differences apparent in the musical domain, and 3) integrate context or other information, all in real-time.
    Original languageEnglish
    Title of host publicationProceedings 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009
    EditorsJeffrey Cohn, Anton Nijholt, Maja Pantic
    Place of PublicationLos Alamitos, NJ
    PublisherIEEE Computer Society
    Number of pages6
    ISBN (Print)978-1-4244-4800-5
    Publication statusPublished - 10 Sep 2009
    Event3rd International Conference on Affective Computing and Intelligent Interaction, ACII 2009 - Amsterdam, Netherlands
    Duration: 10 Sep 200912 Sep 2009
    Conference number: 3


    Conference3rd International Conference on Affective Computing and Intelligent Interaction, ACII 2009
    Abbreviated titleACII


    • IR-73203
    • HMI-CI: Computational Intelligence
    • Models
    • MUSIC
    • Affective music player (AMP)
    • Context
    • Noisy situations
    • Emotion
    • Mood
    • EWI-18397
    • Psychophiology
    • Inter-individual differences
    • HMI-IE: Information Engineering
    • METIS-260075

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