Title
Affect Recognition using Psychophysiological Correlates in High Intensity VR Exergaming
Abstract
User experience estimation of VR exergame players by recognising their affective state could enable us to personalise and optimise their experience. Affect recognition based on psychophysiological measurements has been successful for moderate intensity activities. High intensity VR exergames pose challenges as the effects of exercise and VR headsets interfere with those measurements. We present two experiments that investigate the use of different sensors for affect recognition in a VR exergame. The first experiment compares the impact of physical exertion and gamification on psychophysiological measurements during rest, conventional exercise, VR exergaming, and sedentary VR gaming. The second experiment compares underwhelming, overwhelming and optimal VR exergaming scenarios. We identify gaze fixations, eye blinks, pupil diameter and skin conductivity as psychophysiological measures suitable for affect recognition in VR exergaming and analyse their utility in determining affective valence and arousal. Our findings provide guidelines for researchers of affective VR exergames.
Year
DOI
Venue
2020
10.1145/3313831.3376596
CHI '20: CHI Conference on Human Factors in Computing Systems Honolulu HI USA April, 2020
DocType
ISBN
Citations 
Conference
978-1-4503-6708-0
1
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Soumya C. Barathi110.34
Michael J. Proulx242.48
Eamonn O'neill358766.10
Christof Lutteroth433646.62