IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i23p16062-d990497.html
   My bibliography  Save this article

Research into the Visual Saliency of Guide Signs in an Underground Commercial Street Based on an Eye-Movement Experiment

Author

Listed:
  • Liang Sun

    (School of Architecture & Design, China University of Mining and Technology, Xuzhou 221116, China
    Jiangsu Collaborative Innovation Center for Building Energy Saving and Construction Technology, Xuzhou 221000, China)

  • Yao Xu

    (School of Architecture & Design, China University of Mining and Technology, Xuzhou 221116, China)

  • Sijing Teng

    (Jiangsu ZOINA GROUP Industry Group Co., Ltd., Nantong 226100, China)

  • Bo Wang

    (School of Architecture & Design, China University of Mining and Technology, Xuzhou 221116, China)

  • Ming Li

    (School of Architecture & Design, China University of Mining and Technology, Xuzhou 221116, China)

  • Shanmin Ding

    (School of Architecture & Design, China University of Mining and Technology, Xuzhou 221116, China)

Abstract

The complex spatial environment of underground commercial street spaces will affect users’ behavior and information needs. As a medium to coordinate the interaction between the underground commercial street space environment and people, guide signs can provide useful information for users. However, the visual saliency of guide signs is the fundamental premise for determining the transmission of information to users. Based on field research, this study identified and examined the factors influencing the significance of guide signs in underground commercial streets from the user’s perspective using the order relation analysis method (G1 method) and with the help of screen-based eye tracking and virtual reality (VR) eye-tracking technology, In addition, we explored the design relationship between critical influencing factors and the space between underground commercial streets, and the visual significance of the differences between each important influencing variable. The study showed that the set position, set height, and design color of underground commercial street guide signs are essential factors in their visual prominence. The prominence was more significant when the position of guide signs was located in the middle and upper area of the space, and the prominence was more significant when the set height was 2.56~2.75 m and 3.12~3.31 m. This study can provide data and theoretical support for the visual saliency design of underground commercial street guide signs and provide a reference for the humanized design of underground commercial street guide signs for public facilities in cities.

Suggested Citation

  • Liang Sun & Yao Xu & Sijing Teng & Bo Wang & Ming Li & Shanmin Ding, 2022. "Research into the Visual Saliency of Guide Signs in an Underground Commercial Street Based on an Eye-Movement Experiment," Sustainability, MDPI, vol. 14(23), pages 1-23, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:16062-:d:990497
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/23/16062/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/23/16062/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yuqi Shi & Yi Zhang & Tao Wang & Chaoyang Li & Shengqiang Yuan, 2020. "The Effects of Ambient Illumination, Color Combination, Sign Height, and Observation Angle on the Legibility of Wayfinding Signs in Metro Stations," Sustainability, MDPI, vol. 12(10), pages 1-20, May.
    2. Young-Chan Kim & Sang-Hyun Baek & Young-Hoon Bae & Ryun-Seok Oh & Jun-Ho Choi, 2022. "Evaluation of the Effective Cognition Area (ECA) of Signage Systems with Backlighting under Smoke Conditions," Sustainability, MDPI, vol. 14(7), pages 1-13, March.
    3. Bin Lei & Jinliang Xu & Menghui Li & Haoru Li & Jin Li & Zhen Cao & Yarui Hao & Yuan Zhang, 2019. "Enhancing Role of Guiding Signs Setting in Metro Stations with Incorporation of Microscopic Behavior of Pedestrians," Sustainability, MDPI, vol. 11(21), pages 1-14, November.
    4. Yong Fang & Wenli Zhang & Hua Hu & Jiayi Zhou & Dianliang Xiao & Shaojie Li, 2022. "Adaptive Aging Safety of Guidance Marks in Rail Transit Connection Systems Based on Eye Movement Data," IJERPH, MDPI, vol. 19(2), pages 1-12, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wenying Zhang & Lian Zhu & Zixuan Zhang & Zhan Zhang & Linjun Lu, 2020. "A Sustainable Evaluation Method for a Tourism Public Wayfinding System: A Case Study of Shanghai Disneyland Resort," Sustainability, MDPI, vol. 12(20), pages 1-18, October.
    2. Yuqi Shi & Yi Zhang & Tao Wang & Chaoyang Li & Shengqiang Yuan, 2020. "The Effects of Ambient Illumination, Color Combination, Sign Height, and Observation Angle on the Legibility of Wayfinding Signs in Metro Stations," Sustainability, MDPI, vol. 12(10), pages 1-20, May.
    3. Wenting Jin & Ying Yao & Guichao Ren & Xiaohua Zhao, 2022. "Evaluation of Integration Information Signage in Transport Hubs Based on Building Information Modeling and Virtual Reality Technologies," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
    4. Haoru Li & Jinliang Xu & Xiaodong Zhang & Fangchen Ma, 2021. "How Do Subway Signs Affect Pedestrians’ Wayfinding Behavior through Visual Short-Term Memory?," Sustainability, MDPI, vol. 13(12), pages 1-17, June.
    5. Yifei Suo & Bin Lei & Tianxiang Xun & Na Li & Dongbo Lei & Linlin Luo & Xiaoqin Cao, 2023. "Optimization Method of Subway Station Guide Sign Based on Pedestrian Walking Behavior," Sustainability, MDPI, vol. 15(17), pages 1-18, August.
    6. Ammar Al-Sharaa & Mastura Adam & Amer Siddiq Amer Nordin & Riyadh Mundher & Ameer Alhasan, 2022. "Assessment of Wayfinding Performance in Complex Healthcare Facilities: A Conceptual Framework," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
    7. Jialu Zhou & Norsidah Ujang & Mohd Shahrudin Abd Manan & Faziawati Abdul Aziz, 2024. "Bridging Perceptual Gaps: Designers vs. Non-Designers in Urban Wayfinding Signage Preferences," Sustainability, MDPI, vol. 16(22), pages 1-21, November.
    8. Reza Askarizad & Jinliao He & Elham Mehrinejad Khotbehsara, 2022. "The Legibility Efficacy of Historical Neighborhoods in Creating a Cognitive Map for Citizens," Sustainability, MDPI, vol. 14(15), pages 1-20, July.
    9. Fan Jiang & Ning Ding & Jiguang Shi & Zhenyu Fan, 2022. "Verify the Validity of Guidance Sign in Buildings: A New Method Based on Mixed Reality with Eye Tracking Device," Sustainability, MDPI, vol. 14(18), pages 1-24, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:16062-:d:990497. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.