AMAI: Adaptive music for affect improvement
Name
8A3SuPicardLiu.pdf
Description
Published version
Size
580.27 KB
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Unknown
Checksum (MD5)
ff09d2dd0d8fb7435bf11efbbafee3d2
Author(s)
Su, David
Picard, Rosalind W.
Liu, Yan
Date Issued
2018
Citation
Picard, Rosalind, Su, David and Liu, Yan. 2018. "AMAI: Adaptive music for affect improvement."
Version
Final published version
Abstract
Copyright: © 2018 David Su et al. This is an open-access article distributed under the terms of the Creative_Commons_Attribution_License_3.0 Unported This paper introduces Adaptive Music for Affect Improvement (AMAI), a music generation and playback system whose goal is to steer the listener towards a state of more positive affect. AMAI utilizes techniques from game music in order to adjust elements of the music being heard; such adjustments are made adaptively in response to the valence levels of the listener as measured via facial expression and emotion detection. A user study involving AMAI was conducted, with N=19 participants across three groups, one for each strategy of Discharge, Diversion, and Discharge → Diversion. Significant differences in valence levels between music-related stages of the study were found between the three groups, with Discharge → Diversion exhibiting the greatest increase in valence, followed by Diversion and finally Discharge. Significant differences in positive affect between groups were also found in one before-music and after-music pair of self-reported affect surveys, with Discharge → Diversion exhibiting the greatest decrease in positive affect, followed by Diversion and finally Discharge; the resulting differences in facial expression valence and self-reported affect offer contrasting conclusions.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
Creative Commons Attribution 3.0 unported license
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DOI of Published Version
https://quod.lib.umich.edu/i/icmc/bbp2372.2018.017/1/--amai-adaptive-music-for-affect-improvement?rgn=full+text;view=image;q1=adaptive+music
