Cycling Behavior in Virtual Reality
- Conference Paper
Rights / licenseIn Copyright - Non-Commercial Use Permitted
The use of virtual reality (VR) in transport research offers the opportunity to collect behavioural data in a controlled dynamic setting. VR settings are useful in the context of hypothetical situations where real- world data does not exist and/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 behaviour elicited in a virtual environment closely resembles real-world behaviour. Importantly, as VR is a relatively new research tool, the best-practice in terms of 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 behaviour in VR between two groups of participants in similar immersive scenarios – the first group controlling the manoeuvres 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 behavioural 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 the VR for behavioural data collection. Show more
Pages / Article No.
PublisherIVT, ETH Zurich
SubjectVirtual reality; Instrumented bicycle; Keyboard; EEG
Organisational unit08058 - Singapore-ETH Centre (SEC) / Singapore-ETH Centre (SEC)
03521 - Axhausen, Kay W. / Axhausen, Kay W.
02655 - Netzwerk Stadt und Landschaft D-ARCH
08060 - FCL / FCL
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Is previous version of: http://hdl.handle.net/20.500.11850/417434
Is part of: http://hdl.handle.net/20.500.11850/417241
NotesPresentation held at the poster session on January 15, 2020
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