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Music Emotion Capture: Ethical issues around emotion-based music generation

Langroudi, George, Jordanous, Anna, Li, Ling (2020) Music Emotion Capture: Ethical issues around emotion-based music generation. In: Brain. Cognition. Emotion. Music., 20-21 May 2020, Canterbury, UK (online). (KAR id:81490)

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Abstract

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 1 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 2 based on [3]. 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”).

1 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. 2 Paltoglou, G., & Thelwall, M. (2012). Seeing stars of valence and arousal in blog posts. IEEE Transactions on Affective Computing, 4(1) [3] Russell, J.A. (1980). ‘A circumplex model of affect’, Journal of Personality and Social Psychology, 39

Item Type: Conference or workshop item (Poster)
Uncontrolled keywords: music, emotion, eeg
Subjects: M Music and Books on Music > M Music
Q Science > Q Science (General) > Q180.55.M67 Research - Moral and ethical aspects
Q Science > Q Science (General) > Q335 Artificial intelligence
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.76 Computer software > QA76.76.I59 Interactive media, hypermedia
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.87 Neural computers, neural networks
Divisions: Faculties > Sciences > School of Computing
Faculties > Sciences > School of Computing > Computational Intelligence Group
Faculties > Sciences > School of Computing > Data Science
Depositing User: Anna Jordanous
Date Deposited: 02 Jun 2020 10:16 UTC
Last Modified: 05 Jun 2020 09:43 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/81490 (The current URI for this page, for reference purposes)
Jordanous, Anna: https://orcid.org/0000-0003-2076-8642
Li, Ling: https://orcid.org/0000-0002-4026-0216
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