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Gaze Point in the Evacuation Drills: Analysis of Eye Movement at the Indoor Wayfinding

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  • Young-Hoon Bae

    (School of Architectural, Civil, Environmental and Energy Engineering, Kyungpook National University, Daegu 41566, Korea)

  • Young-Chan Kim

    (Department of Fire and Disaster Prevention Engineering, Changshin University, Changwon 51352, Korea)

  • Ryun-Seok Oh

    (Department of Fire Protection Engineering, Pukyong National University, Busan 48513, Korea)

  • Jong-Yeong Son

    (School of Architectural, Civil, Environmental and Energy Engineering, Kyungpook National University, Daegu 41566, Korea)

  • Won-Hwa Hong

    (School of Architectural, Civil, Environmental and Energy Engineering, Kyungpook National University, Daegu 41566, Korea)

  • Jun-Ho Choi

    (Department of Fire Protection Engineering, Pukyong National University, Busan 48513, Korea)

Abstract

Signage systems are the main means of resolving the wayfinding problem in an emergency evacuation. However, recent literature has proven that signage systems are often not effective in an indoor wayfinding decision-making situation. Many studies that attempted to solve the problem did not consider the interaction between the optimal location of signage systems and gaze characteristics. Therefore, this study aimed to provide basic database to determine the optimal location of signage by analysing the characteristics of eye movements according to the type of junction. To achieve this, we conducted evacuation experiments in a maze set composed of eight junctions that we created ourselves and analysed the eye movement data of participants with 5196 gaze points and duration of 895,581.49 ms. The result showed that participants most often look between 100 cm and 150 cm (vertical height) in the corridor and in junctions. In addition, the gaze points of the evacuees are quantified by the horizontal and vertical directions according to the type of junction where the wayfinding decisions occur. This investigation showed that there are marked differences depending on the type.

Suggested Citation

  • Young-Hoon Bae & Young-Chan Kim & Ryun-Seok Oh & Jong-Yeong Son & Won-Hwa Hong & Jun-Ho Choi, 2020. "Gaze Point in the Evacuation Drills: Analysis of Eye Movement at the Indoor Wayfinding," Sustainability, MDPI, vol. 12(7), pages 1-14, April.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:7:p:2902-:d:341838
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    References listed on IDEAS

    as
    1. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    2. Richard Church & Charles R. Velle, 1974. "The Maximal Covering Location Problem," Papers in Regional Science, Wiley Blackwell, vol. 32(1), pages 101-118, January.
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    Cited by:

    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. 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.
    3. Young-Hoon Bae & Jong-Yeong Son & Ryun-Seok Oh & Hye-Kyoung Lee & Yoon-Ha Lee & Won-Hwa Hong & Jun-Ho Choi, 2021. "Optimal Installation Location of Escape Route Signs at T-Type Intersections," Sustainability, MDPI, vol. 13(14), pages 1-16, July.
    4. Wei, Yixuan & Zhang, Yixing & Xu, Yifei & Wang, Shu & Liu, Jianguo & Jin, Longzhe & Ou, Shengnan & Pan, Song & Liu, Yiqiao, 2024. "Impact of risk preferences on evacuee behavior and attention distribution in urban underground space evacuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 640(C).
    5. Yu-Ling Hsieh & Ming-Feng Lee & Guey-Shya Chen & Wei-Jie Wang, 2022. "Application of Visitor Eye Movement Information to Museum Exhibit Analysis," Sustainability, MDPI, vol. 14(11), pages 1-15, June.
    6. Yixuan Wei & Jianguo Liu & Longzhe Jin & Shu Wang & Fei Deng & Shengnan Ou & Song Pan & Jinshun Wu, 2023. "Individual Behavior and Attention Distribution during Wayfinding for Emergency Shelter: An Eye-Tracking Study," Sustainability, MDPI, vol. 15(15), pages 1-21, August.

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