Image-Analysis-Based Method for Exploring Factors Influencing the Visual Saliency of Signage in Metro Stations

36 Pages Posted: 26 Jan 2024

See all articles by Mengya Yin

Mengya Yin

Wuhan University of Technology

Xilin Zhou

Wuhan University of Technology

Qunfeng ji

Wuhan University of Technology

Shize Yang

Wuhan University of Technology

Huairen Peng

Wuhan University of Technology

Chuancheng LI

Wuhan University of Technology

Abstract

Many studies have been conducted on the effects of colour, light, and signage location on the visual saliency of underground signage. However, few studies have investigated the influence of indoor visual environments on the saliency of pedestrian signage. To explore the factors that influence the visual saliency of signage in metro stations, we developed a novel analysis method using a combination of saliency and focus maps. Then, questionnaires were utilised to unify the various formats of results from the saliency and focus maps. The factors that influence the visual saliency of signage were explored using the proposed method at selected sites and validated through virtual reality experiments. Additionally, this study proposes an image-analysis-based method that reveals the multilevel factors affecting pedestrian attention to signage in underground metro stations, including spatial interfaces, crowd flow, and ambient light. The results indicate that crowd flow has the greatest impact on pedestrian attention to signage. The findings of this study are expected to improve the wayfinding efficiency of pedestrians and assist designers in producing high-quality metro experiences.

Keywords: Influence factor, Visual saliency, Signage, Saliency map, Systematic assessment

Suggested Citation

Yin, Mengya and Zhou, Xilin and ji, Qunfeng and Yang, Shize and Peng, Huairen and LI, Chuancheng, Image-Analysis-Based Method for Exploring Factors Influencing the Visual Saliency of Signage in Metro Stations. Available at SSRN: https://ssrn.com/abstract=4707779 or http://dx.doi.org/10.2139/ssrn.4707779

Mengya Yin

Wuhan University of Technology ( email )

Wuhan
China

Xilin Zhou

Wuhan University of Technology ( email )

Wuhan
China

Qunfeng Ji

Wuhan University of Technology ( email )

Wuhan
China

Shize Yang

Wuhan University of Technology ( email )

Wuhan
China

Huairen Peng

Wuhan University of Technology ( email )

Wuhan
China

Chuancheng LI (Contact Author)

Wuhan University of Technology ( email )

Wuhan
China

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