Virtual Scenarios for Pedestrian Research: A Matter of Complexity?
Virtual Scenarios for Pedestrian Research: A Matter of Complexity?
复制标题
行人研究的虚拟场景:复杂性问题?
DOI:
10.1007/978-3-030-49695-1_12
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发表时间:
2020
期刊:
影响因子:
--
通讯作者:
Schneider
中科院分区:
文献类型:
--
作者:
Schneider
Virtual reality (VR) has become a popular tool to investigate pedestrian behavior. Many researchers, however, tend to simplify traffic scenarios to maximize experimental control at the expense of ecological validity. Multiple repetitions, facilitated by the brief durations of widespread crossing tasks, further add to predictability and likely reduce the need for cognitive processing. Considering the complexity inherent to naturalistic traffic, such simplification may result in biases that compromise the transferability and meaningfulness of empirical results. In the present work, we outline how human information processing might be affected by differences between common experimental designs and naturalistic traffic. Aiming at an optimal balance between experimental control and realistic demands, we discuss measures to counteract predictability, monotony, and repetitiveness. In line with this framework, we conducted a simulator study to investigate the influence of variations in the behavior of surrounding traffic. Although the observed effects seem negligible, we encourage the evaluation of further parameters that may affect results based on scenario design, rather than discussing methodological limitations only in terms of simulator fidelity.
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