Insights into wayfinding

Urban design exploration through the use of algorithmic eye-tracking software

Bibliographic Data

ID21692487
AuthorsJustin B Hollander (0000-0001-5148-7902, Tufts University, corresponding author), Ann Sussman (0000-0002-5987-4234, Human Architecture and Planning Institute, Concord, MA, USA), Peter Lowitt (Devens Enterprise Commission, Devens, MA, USA), Neil Angus (Devens Enterprise Commission, Devens, MA, USA), Minyu Situ (0000-0001-5695-8232, Graduate Program in Community and Regional Planning, University of Texas at Austin, Austin, TX, USA), Aliya Magnuson (Tufts University)
Year2023
Volume28
Issue3
Pages274-295
Publication date2023-05-04
Open AccessNo
TypeARTICLE
VenueJournal of Urban Design (JOURNAL)
Journal identifiersISSN: 1357-4809 • E-ISSN: 1469-9664
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/13574809.2022.2118697
OpenAlexW4298139755
LanguageEN
Citations received4
References cited32

This paper seeks to use eye-tracking emulation software to understand and forecast the human responses to signage and directional cues in Massachusetts, USA. Using eye-tracking emulation software, this study measured the unconscious visual responses people are projected to have to designs and layouts in new built environments, focusing on what makes streets most walkable. The study found differences between the way the brain takes in conventional automobile-oriented residential developments versus new urbanist layouts, with the former lacking key fixation points. The study’s discoveries explain why new urbanist layouts promote walking effortlessly and conventional automobile-oriented residential developments cannot

Emulation · Eye tracking · Human–computer interaction · Signage · Simulation · Transport engineering · Computer Science · Engineering · Geographic Information Systems Studies · Psychology · Spatial Cognition and Navigation · Urban Design and Spatial Analysis · Artificial Intelligence · Software

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