Evaluation of Galvanic Skin Response from Subjective Quality Assessment Subject to Participants' Experience with 360° Videos on HMD
2025 (English)In: Conference Proceedings - 2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2025, Institute of Electrical and Electronics Engineers (IEEE), 2025, p. 681-686Conference paper, Published paper (Refereed)
Abstract [en]
This paper presents a psychophysiological analysis using galvanic skin response (GSR) signals recorded during a subjective quality assessment of 360° videos viewed on head-mounted displays (HMDs). During the test, participants provided opinion scores based on their perceived video quality. Participants were grouped by their prior virtual reality (VR) experience level into experts, sometimes used, and never used. Additionally, participants whose ratings deviated significantly from the majority were classified as outliers, and their GSR data were also analyzed. The novelty of this work lies in the comparative analysis of GSR responses across different VR experience levels, including the outliers during subjective quality assessment tests for 360° ' videos. Results show that experts exhibited lower GSR amplitudes and fewer peaks, indicating reduced emotional or cognitive arousal. Conversely, participants with sometimes used and never used showed elevated physiological responses and peaks compared to experts. While the outlier group reported the highest number of peaks, it also showed statistically significant differences between the experts and sometimes used experience levels. These findings suggest that prior VR experience influences subjective quality assessments and that GSR metrics can serve as a valuable indicator for participant screening and refining experimental design in immersive multimedia evaluations.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2025. p. 681-686
Keywords [en]
Cognitive load, Emotional arousal, Galvanic Skin Response, Quality Assessment, Subjective tests, videos, Helmet mounted displays, Multimedia systems, Physiological models, Psychophysiology, Quality control, Statistics, Video analysis, Virtual reality, Cognitive loads, Head-mounted-displays, Response signal, Subjective quality assessments, Subjective test, Video, Virtual reality experiences, Subjective testing
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-29322DOI: 10.1109/MetroXRAINE66377.2025.11340376Scopus ID: 2-s2.0-105033238329ISBN: 9798331502799 (print)OAI: oai:DiVA.org:bth-29322DiVA, id: diva2:2051988
Conference
4th IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2025, Ancona, Oct 22-24, 2025
Part of project
HINTS - Human-Centered Intelligent Realities
Funder
Knowledge Foundation, 202200682026-04-102026-04-102026-04-10Bibliographically approved