| Autor: |
Kunal Gupta, Sam W. T. Chan, Yun Suen Pai, Nicholas Strachan, John Su, Alexander Sumich, Suranga Nanayakkara, Mark Billinghurst |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 6:1-21 |
| ISSN: |
2474-9567 |
| Popis: |
Our memories and past experiences contribute to guiding our perception and action of future affective experiences. Virtual Reality (VR) experiences are more vividly memorized and recalled than non-VR ones, but there is little research on how to detect this recall in VR. We investigate the feasibility of recognizing autobiographical memory (AM) recall in VR using physiological cues: skin conductance, heart-rate variability, eye gaze, and pupillary response. We devised a methodology replicating an existing AM Test in VR. We conducted a user study with 20 participants recalling AM using three valence categories cue words: positive, negative, and neutral. We found a significant effect of AM recalls on EDA peak, and eye blink rate, with a generalized recognition accuracy of 77.1% and person dependent accuracy of up to 95.1%. This shows a promising approach for detecting AM recall in VR and we discuss the implications for VR experience design. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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