Pedestrian and Evacuation Dynamics 2011
DOI: 10.1007/978-1-4419-9725-8_19
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Proof of Concept: Use of Eye-Tracking to Record How People Use Exit Signage

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Cited by 4 publications
(4 citation statements)
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“…Although there are studies on safety and exit signs using eye-tracking [24] and evaluation of signage using eye-tracking techniques [25], hardly any studies address the negative consequences of improper application of divider caution signs.…”
Section: Separator To Divide Lanesmentioning
confidence: 99%
“…Although there are studies on safety and exit signs using eye-tracking [24] and evaluation of signage using eye-tracking techniques [25], hardly any studies address the negative consequences of improper application of divider caution signs.…”
Section: Separator To Divide Lanesmentioning
confidence: 99%
“…Through the eye-tracking technology, passengers' visual behavior can be recorded, which provides an opportunity to study how passengers observe the surrounding environment and how they make wayfinding decisions (Till and Babcock 2011). Schrom-Feiertag, et al (2017) developed a virtual wayfinding experiment platform with eyetracking technology, to explore the attention maps and objects of interest for passengers.…”
Section: The Necessity Of Exploring Visual Behaviormentioning
confidence: 99%
“…Thus, eye tracking can provide valuable insight into human visual perception and has been applied in several different research fields, e.g., the effects of training on inspection of aircrafts [24], how the eye movements when driving are affected by talking on a cell phone [25], or to study user behaviour connected to Internet searches [26]. In fire research, eyetracking technology has been identified as a useful tool to investigate the behaviour during an evacuation [27] and some evacuation studies using eye-tracking has been performed, e.g., investigation of the location of evacuation signage in buildings [28,29]. However, more thorough studies applying eye-tracking technology in evacuation research are still scarce.…”
Section: Introductionmentioning
confidence: 99%