Details

Autor(en) / Beteiligte

• Gupta, Kunal
• Chan, Sam W. T.
• Pai, Yun Suen
• Strachan, Nicholas
• Su, John
• Sumich, Alexander
• Nanayakkara, Suranga
• Billinghurst, Mark

Titel

Total VREcall: Using Biosignals to Recognize Emotional Autobiographical Memory in Virtual Reality

Ist Teil von

• Proceedings of ACM on interactive, mobile, wearable and ubiquitous technologies, 2022-07, Vol.6 (2), p.1-21, Article 55

Ort / Verlag

New York, NY, USA: ACM

Erscheinungsjahr

2022

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• 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.