Biosensor measures of human emotion

Authors

Brodie Kershaw, Swinburne University of Technology, Australia
Stuart Favilla, Swinburne University of Technology, Australia
David Sly, Swinburne University of Technology, Australia

Abstract

There is clear potential for consumer-grade wearable biosensors in future emotional state research because they are cheap, portable, and accessible. In this study, biosensor measures of valence and arousal, calculated from Electroencephalography and Apple Watch were correlated with self-reported valence and arousal measured by the EmojiGrid. We establish requirements for the use of biosensors, specifically the Muse 2 and Apple Watch in future emotion research applications and passive real-time analysis of participant emotional states. When compared to the IAPS & OxVoc, mean dataset valence and arousal values for visual and auditory stimuli, the EmojiGrid recorded significant correlations for valence but not for arousal. Spectral alpha power and the asymmetry index had strong correlations with participant valence for some participants, but weak for others. There was no correlation between heart rate change and self-reported arousal recorded from the Apple Watch and EmojiGrid respectively.

Keywords

affective design, biosensors, emojigrid, emotional-state estimation

DOI

https://doi.org/10.21606/drs.2022.401

Citation

Kershaw, B., Favilla, S., and Sly, D. (2022) Biosensor measures of human emotion, in Lockton, D., Lenzi, S., Hekkert, P., Oak, A., Sádaba, J., Lloyd, P. (eds.), DRS2022: Bilbao, 25 June - 3 July, Bilbao, Spain. https://doi.org/10.21606/drs.2022.401

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Conference Track

Research Paper