Virtual Scenarios for Pedestrian Research: A Matter of Complexity?

Virtual Scenarios for Pedestrian Research: A Matter of Complexity?
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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
Schneider
中科院分区:
--
文献类型:
--
作者:
Schneider

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虚拟现实(VR)已成为研究行人行为的流行工具。然而,许多研究人员倾向于简化交通场景,以牺牲生态有效性为代价,最大限度地提高实验控制。广泛交叉任务的短暂持续时间促进了多次重复,进一步增加了可预测性,并可能减少对认知处理的需求。考虑到自然主义交通固有的复杂性,这种简化可能会导致偏见,损害经验结果的可转移性和意义。在目前的工作中,我们概述了人类的信息处理可能会受到普通实验设计和自然交通之间的差异。针对实验控制和现实需求之间的最佳平衡,我们讨论了抵消可预测性,单调性和重复性的措施。根据这一框架,我们进行了模拟器研究,以调查周围交通行为变化的影响。虽然观察到的影响似乎可以忽略不计,我们鼓励进一步的参数,可能会影响结果的基础上的场景设计的评估,而不是讨论方法的局限性,仅在模拟器的保真度。
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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