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CAEVR: Biosignals-Driven Context-Aware Empathy in Virtual Reality | IEEE Journals & Magazine | IEEE Xplore

CAEVR: Biosignals-Driven Context-Aware Empathy in Virtual Reality


Abstract:

There is little research on how Virtual Reality (VR) applications can identify and respond meaningfully to users' emotional changes. In this paper, we investigate the imp...Show More

Abstract:

There is little research on how Virtual Reality (VR) applications can identify and respond meaningfully to users' emotional changes. In this paper, we investigate the impact of Context-Aware Empathic VR (CAEVR) on the emotional and cognitive aspects of user experience in VR. We developed a real-time emotion prediction model using electroencephalography (EEG), electrodermal activity (EDA), and heart rate variability (HRV) and used this in personalized and generalized models for emotion recognition. We then explored the application of this model in a context-aware empathic (CAE) virtual agent and an emotion-adaptive (EA) VR environment. We found a significant increase in positive emotions, cognitive load, and empathy toward the CAE agent, suggesting the potential of CAEVR environments to refine user-agent interactions. We identify lessons learned from this study and directions for future work.
Page(s): 2671 - 2681
Date of Publication: 04 March 2024

ISSN Information:

PubMed ID: 38437090

Funding Agency:


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