人偶驱动机制对虚拟候机楼寻路实验结果的影响

Influence of Avatar Locomotion Model on Virtual Wayfinding Outcomes in Airport Terminal Experiments

摘要:

为提高机场候机楼内旅客寻路效率研究中，被广泛采用的虚拟寻路实验的结果准确性，通过13 712人次，分5组进行的周边人偶的虚拟对照实验，研究了随机生成机制与真实轨迹变换机制及两者混合应用对实验结果的影响。研究表明，就决策时间而言，无人环境与完全由真实轨迹变换机制驱动的周边人偶有明显差异，而与完全由随机生成机制驱动的人偶比较则未有显著差异。并且随着两种驱动机制中随机生成机制比例的提高，差异逐渐消除。此外，在寻路成功率、绕路系数上，两种机制相较于无人环境均没有显著差异。因此，是否选择恰当的驱动机制会影响到关乎决策时间的虚拟实验的准确性。

Abstract:

To enhance the accuracy of virtual wayfinding experiments widely used in the study of wayfinding efficiency in airport terminals， this paper conducted a virtual controlled experiment involving 13 712 participants divided into five groups to investigate the influence of stochastic-trajectory-driven mechanism， true-trajectory-driven mechanism， and their combined application on the experimental outcomes. The findings reveal that， significant differences in decision-making time between the no-avatar environment and those entirely driven by the true-trajectory-driven mechanism， while no significant differences were observed when compared to the fully stochastic-trajectory-driven mechanism. Moreover， as the proportion of the stochastic-trajectory-driven mechanism in both driving mechanisms increased， these differences gradually diminished. Additionally， in terms of the success rate of wayfinding tasks and detour rates， there were no significant differences between the two mechanisms and their different combinations compared to the no-avatar environment. Therefore， the driving mechanisms can influence the accuracy of virtual experiments related to decision time.