Listen
3 Ergebnisse
Ergebnisse nach Hochschule und Institut
Publikation Comparison of cycling behavior between keyboard-controlled and instrumented bicycle experiments in virtual reality(SAGE, 12.06.2020) Bogacz, Martyna; Hess, Stephane; Calastri, Chiara; Choudhury, Charisma F.; Erath, Alexander; van Eggermond, Michael; Mushtaq, Faisal; Nazemi, Mohsen; Awais, MuhammadThe 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, br01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Cycling in virtual reality: modelling behaviour in an immersive environment(Taylor & Francis, 29.04.2020) Bogacz, Martyna; Hess, Stephane; Choudhury, Charisma F.; Calastri, Chiara; Mushtaq, Faisal; Nazemi, Mohsen; van Eggermond, Michael; Erath, AlexanderImmersive technologies in transport research are gaining popularity, allowing for data collection in a controlled dynamic setting. Nonetheless, their ecological validity is still to be established hence their use in mathematical modelling in a transport setting has been scarce. We aim to fill this gap by conducting a study of cycling behaviour where non-immersive and immersive presentation methods are used in a virtual reality setting. The results confirm our hypothesis that participants behave differently when shown a choice scenario in non-immersive and immersive settings. In particular, cycling in an immersive setting is characterised by a higher degree of engagement. We also captured neural activity during task performance. We focussed on oscillations in the alpha (α) band where we found increased suppression in this signal in response to the immersive condition relative to the non-immersive. These results complement the behavioural findings and indicate that immersive environments may increase levels of task-engagement.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Modelling risk perception using a dynamic hybrid choice model and brain-imaging data: An application to virtual reality cycling(Elsevier, 29.12.2021) Bogacz, Martyna; Hess, Stephane; Calastri, Chiara; Choudhury, Charisma F.; Mushtaq, Faisal; Awais, Muhammad; Nazemi, Mohsen; van Eggermond, Michael; Erath, AlexanderRoad risk analysis is one of the key research areas in transport, where the impact of perceived risk on choices, especially in a dynamic setting, has been long recognised. However, due to the lack of dynamic data and the difficulty in capturing risk perception, existing studies typically resort to static and stated approaches to infer the experienced level of risk of individuals. In this paper, we aimed to address this research gap through developing a hybrid choice model that jointly employed dynamic data on cycling behaviour in virtual reality and neural data to evaluate how the fluctuations in momentary risk perception influence the behaviour of cyclists. The results of the developed model confirm our hypotheses, demonstrating that cyclists reduce their speed when approaching a junction as the potential for a collision with passing cars increases. Moreover, the latent component allowed us to establish a link between the neural data, the amplitude of alpha brainwaves, and objective risk measures. In line wi01A - Beitrag in wissenschaftlicher Zeitschrift