During the [BCEM poster session], Wed 20 May 2020 14.45-15.30 BST, we are all available on Zoom to discuss the poster!
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Meeting ID: 768 0965 7232
Or contact us by email: gral2 / a.k.jordanous / c.li @kent.ac.uk
George Langroudi* - School of Computing, University of Kent,
Anna Jordanous* - School of Computing, University of Kent,
Ling Li* - School of Computing, University of Kent
Music Emotion Capture: Ethical issues around emotion-based music generation
People’s emotions are not always detectable, e.g. if a person has difficulties/lack of skills in expressing emotions, or if people are geographically separated/communicating online). Brain-computer interfaces (BCI) could enhance non-verbal communication of emotion, particularly in detecting and responding to users’ emotions e.g. music therapy, interactive software. Our pilot study Music Emotion Capture  detects, models and sonifies people’s emotions based on their real-time emotional state, measured by mapping EEG feedback onto a valence-arousal emotional model  based on . Though many practical applications emerge, the work raises several ethical questions, which need careful consideration. This poster discusses these ethical issues. Are the work’s benefits (e.g. improved user experiences; music therapy; increased emotion communication abilities; enjoyable applications) important enough to justify navigating the ethical issues that arise? (e.g. privacy issues; control of representation of/reaction to users’ emotional state; consequences of detection errors; the loop of using emotion to generate music and music affecting the emotion, with the human in the process as an “intruder”).
 Langroudi, G., Jordanous, A., & Li, L. (2018). Music Emotion Capture: emotion-based generation of music using EEG. Emotion Modelling and Detection in Social Media and Online Interaction symposium @ AISB 2018, Liverpool.
 Paltoglou, G., & Thelwall, M. (2012). Seeing stars of valence and arousal in blog posts. IEEE Transactions on Affective Computing, 4(1)
 Russell, J.A. (1980). ‘A circumplex model of affect’, Journal of Personality and Social Psychology, 39