ABSTRACT

Immersive 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.

摘要

交通研究中的沉浸式技术越来越受欢迎，允许在受控的动态环境中收集数据。尽管如此，它们的生态有效性仍有待确定，因此它们在交通环境中的数学建模中的使用很少。我们旨在通过在虚拟现实环境中使用非沉浸式和沉浸式演示方法的自行车行为研究来填补这一空白。结果证实了我们的假设，即参与者在非沉浸式和沉浸式环境中显示选择场景时表现不同。特别是，在沉浸式环境中骑自行车的特点是参与度更高。我们还捕获了任务执行期间的神经活动。我们专注于 alpha (α) 波段中的振荡，我们发现相对于非沉浸式条件，沉浸式条件对该信号的抑制增加了。这些结果补充了行为发现，并表明沉浸式环境可能会提高任务参与度。