In transportation architecture, wayfinding quality is a crucial factor for determining transfer efficiency and level of service. When developing architectural design concepts, designers often employ their visual attention to imagine where passengers will look. A saliency model is a software program that can predict human visual attention. This research examined whether a saliency model or designer visual attention is a good predictor of passenger visual attention during wayfinding inside transportation architecture. Using a remote eye-tracking system, the eye-movements of 29 participants watching 100 still images depicting different indoor scenes of transportation architecture were recorded and transformed into saliency maps to illustrate participants' visual attention. Participants were categorized as either “designers” or “laypeople” based on their architectural design expertise. Similarities were compared among the “designers'” visual attention, saliency model predictions, and “laypeople's” visual attention. The results showed that while the “designers'” visual attention was the best predictor of that of “laypeople”, followed by saliency models, a single designer's visual attention was not a good predictor. The divergence in visual attention highlights the limitation of designers in predicting passenger wayfinding behavior and implies that integrating a saliency model in practice can be beneficial for wayfinding design.

在运输体系结构中，寻路质量是确定传输效率和服务水平的关键因素。在制定建筑设计概念时，设计师通常会利用视觉上的注意力来想象乘客的视线。显着性模型是可以预测人类视觉注意力的软件程序。这项研究检查了显着性模型或设计人员的视觉注意力是否能很好地预测运输体系结构内部寻路过程中乘客的视觉注意力。使用远程眼动追踪系统，记录了29位参与者的眼球运动，观看了100幅静态图像，这些图像描绘了交通建筑的不同室内场景，并将其转换为显着性地图，以说明参与者的视觉注意力。根据参与者在建筑设计方面的专业知识，他们分为“设计师”或“外行”。比较了“设计师”的视觉注意，显着性模型预测和“外行”的视觉注意之间的相似性。结果表明，尽管“设计师”的视觉注意力是“外行”的最佳预测，其次是显着性模型，但单个设计师的视觉注意力并不是一个好的预测。视觉注意力的差异突出了设计人员在预测旅客寻路行为方面的局限性，并暗示在实践中集成显着性模型可能对寻路设计有益。结果表明，尽管“设计师”的视觉注意力是“外行”的最佳预测，其次是显着性模型，但单个设计师的视觉注意力并不是一个好的预测。视觉注意力的差异突出了设计人员在预测旅客寻路行为方面的局限性，并暗示在实践中集成显着性模型可能对寻路设计有益。结果表明，尽管“设计师”的视觉注意力是“外行”的最佳预测，其次是显着性模型，但单个设计师的视觉注意力并不是一个好的预测。视觉注意力的差异突出了设计人员在预测旅客寻路行为方面的局限性，并暗示在实践中集成显着性模型可能对寻路设计有益。