Personality recognition based on ECG in response to VR emotional stimuli
Pages 213 - 217
Abstract
This paper explores the feasibility and effect of using ECG signals in response to virtual reality(VR) emotional stimuli for personality recognition. Personality represents an individual'’s behavior pattern, so it has extensive research significance to identify personality. In the field of personality recognition, there have been researches on the use of physiological signals to recognize personality recently, but there have been no studies on personality recognition in VR scenarios. VR technology has been applied in many fields, and in the field of emotion recognition, the advantage of VR video as emotional arousal material has been proved. We designed the emotional stimulation experiment in VR scene to collect ECG signals, and constructed the personality recognition model. The results showed that the F1 scores of neuroticism, extraversion, openness, agreeableness and conscientiousness using only ECG were 0.79, 0.80, 0.81, 0.73 and 0.81, respectively, which were much higher than the random level. And we found that in VR scenes, negative emotional stimulation can achieve better personality recognition effect. Our results confirm the feasibility of personality recognition using ECG signals in response to VR emotional stimuli.
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Published In
February 2023
398 pages
ISBN:9798400700200
DOI:10.1145/3592686
Copyright © 2023 ACM.
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Association for Computing Machinery
New York, NY, United States
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Published: 31 May 2023
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BIC 2023
BIC 2023: 2023 3rd International Conference on Bioinformatics and Intelligent Computing
February 10 - 12, 2023
Sanya, China
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