Total VREcall-Reference-Cited by-同舟云学术

Total VREcall

Published:2022-07-04 Issue:2 Volume:6 Page:1-21
ISSN:2474-9567
Container-title:Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
language:en
Short-container-title:Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

Author:

Gupta Kunal¹,Chan Sam W. T.²,Pai Yun Suen³,Strachan Nicholas²,Su John²,Sumich Alexander⁴,Nanayakkara Suranga⁵,Billinghurst Mark²

Affiliation:

1. University of Auckland, Grafton, Auckland, Auckland, New Zealand

2. University of Auckland, Grafton, Auckland, New Zealand

3. Keio University Graduate School of Media Design, Kohoku Ward, Yokohama, Japan

4. Nottingham Trent University, United Kingdom

5. National University of Singapore, Singapore, Singapore

Abstract

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.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

Link

https://dl.acm.org/doi/pdf/10.1145/3534615

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