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User performance and Quality of Experience for a remote-controlled lab-based moving platform
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and Electrical Engineering (2023-). (3D Realistic group)ORCID iD: 0000-0002-5913-3145
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and Electrical Engineering (2023-). Research Institute of Sweden (RISE). (Realistic 3D)ORCID iD: 0000-0001-5060-9402
2024 (English)In: IS and T International Symposium on Electronic Imaging Science and Technology, The Society for Imaging Science and Technology, 2024, Vol. 36, article id 237Conference paper, Published paper (Refereed)
Abstract [en]

In this study, we designed an experiment using remote-controlled lab based moving platform to evaluate the impact of resolution, latency, and field of view on the Quality of Experience, performance, user experience and depth perception. The experiment involves two tasks: driving the platform to a stop point and parking it between two boxes. Participants provided feedback through questionnaires, and their experiences were analyzed. Seven participants between 30 and 57 (average of 37) years old participated. We used Google Forms for data collection, including pre-experiment and recurring questionnaires as well as a simulator sickness questionnaire. Despite the low number of test participants leading to uncertainty in quantitative analysis, significant effects were observed, albeit with contradictory statistical outcomes. The data suggests that lower latency corresponds to better performance, with participants not always perceiving higher latency accurately. Video quality notably impacts user experience, with higher resolution being preferred.

Place, publisher, year, edition, pages
The Society for Imaging Science and Technology, 2024. Vol. 36, article id 237
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-50345DOI: 10.2352/EI.2024.36.11.HVEI-237Scopus ID: 2-s2.0-85197224888OAI: oai:DiVA.org:miun-50345DiVA, id: diva2:1832299
Conference
Electronic Imaging: Human Vision and Electronic Imaging, San Francisco, US, Januari 21-25, 2024
Funder
Swedish Foundation for Strategic ResearchAvailable from: 2024-01-29 Created: 2024-01-29 Last updated: 2024-08-07Bibliographically approved

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Rafiei, ShirinBrunnström, Kjell

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