Comparison of cycling behavior between keyboard-controlled and instrumented bicycle experiments in virtual reality

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Bogacz, Martyna, Hess, Stephane, Calastri, Chiara, Choudhury, Charisma F., Erath, Alexander, van Eggermond, Michael A. B., Mushtaq, Faisal, Nazemi, Mohsen and Awais, Muhammad ORCID: https://orcid.org/0000-0001-6421-9245 (2020) Comparison of cycling behavior between keyboard-controlled and instrumented bicycle experiments in virtual reality. Transportation Research Record, 2674 (7). pp. 244-257. ISSN 0361-1981

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Abstract

The use of virtual reality (VR) in transport research offers the opportunity to collect behavioral data in a controlled dynamic setting. VR settings are useful in the context of hypothetical situations in which real-world data does not exist or in situations which involve risk and safety issues making real-world data collection infeasible. Nevertheless, VR studies can contribute to transport-related research only if the behavior elicited in a virtual environment closely resembles real-world behavior. Importantly, as VR is a relatively new research tool, the best-practice with regards to the experimental design is still to be established. In this paper, we contribute to a better understanding of the implications of the choice of the experimental setup by comparing cycling behavior in VR between two groups of participants in similar immersive scenarios, the first group controlling the maneuvers using a keyboard and the other group riding an instrumented bicycle. We critically compare the speed, acceleration, braking and head movements of the participants in the two experiments. We also collect electroencephalography (EEG) data to compare the alpha wave amplitudes and assess the engagement levels of participants in the two settings. The results demonstrate the ability of VR to elicit behavioral patterns in line with those observed in the real-world and indicate the importance of the experimental design in a VR environment beyond the choice of audio-visual stimuli. The findings will be useful for researchers in designing the experimental setup of VR for behavioral data collection.

Item Type:	Article
Additional Information:	Funding information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Martyna Bogacz, Stephane Hess, Charisma F. Choudhury and Chiara Calastri acknowledge the financial support of the European Research Council through the consolidator grant 615596-DECISIONS.
Uncontrolled Keywords:	civil and structural engineering,mechanical engineering ,/dk/atira/pure/subjectarea/asjc/2200/2205
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Data Science and AI
Related URLs:	http://www.scopus.com/inward/record.url?... https://eprints.whiterose.ac.uk/159231/
Depositing User:	LivePure Connector
Date Deposited:	17 Oct 2023 00:44
Last Modified:	10 Dec 2024 01:42
URI:	https://ueaeprints.uea.ac.uk/id/eprint/93307
DOI:	10.1177/0361198120921850

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