Abstract
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 language | English |
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Title of host publication | Proceedings 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009 |
Editors | Jeffrey Cohn, Anton Nijholt, Maja Pantic |
Place of Publication | Los Alamitos, NJ |
Publisher | IEEE |
Pages | 472-477 |
Number of pages | 6 |
Volume | 1 |
ISBN (Print) | 978-1-4244-4800-5 |
DOIs | |
Publication status | Published - 10 Sept 2009 |
Event | 3rd International Conference on Affective Computing and Intelligent Interaction, ACII 2009 - De Rode Hoed, Amsterdam, Netherlands Duration: 10 Sept 2009 → 12 Sept 2009 Conference number: 3 |
Conference
Conference | 3rd International Conference on Affective Computing and Intelligent Interaction, ACII 2009 |
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Abbreviated title | ACII |
Country/Territory | Netherlands |
City | Amsterdam |
Period | 10/09/09 → 12/09/09 |
Keywords
- IR-73203
- HMI-CI: Computational Intelligence
- Models
- MUSIC
- Affective music player (AMP)
- Context
- Noisy situations
- Emotion
- Mood
- EWI-18397
- Psychophiology
- Inter-individual differences
- HMI-MI: MULTIMODAL INTERACTIONS
- HMI-IE: Information Engineering
- METIS-260075