Enhancing wayfinding in science & technology parks
Insights from visual attention modeling
Bibliographic Data
| ID | 19382667 |
|---|---|
| Authors | Zahra Alinam (0000-0003-4952-3948, Max Planck Institute of Geoanthropology, corresponding author), Gabriela Celani (0000-0001-5524-4748, CEUCI, FECFAU, Universidade Estadual de Campinas) |
| Year | 2026 |
| Pages | 1-21 |
| Publication date | 2026-05-17 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Planning Practice and Research (JOURNAL) |
| Journal identifiers | ISSN: 0269-7459 • E-ISSN: 1360-0583 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/02697459.2026.2672531 |
| OpenAlex | W7161563055 |
| Language | EN |
| References cited | 37 |
This study explores how the visual saliency of signs, landmarks, and paths influences predicted gaze behavior in a second-generation science and technology park. Using predictive visual attention modeling with 3M Visual Attention Software (VAS), we analyzed manipulated images of the CPQD campus from two mobility-related viewing perspectives – vehicular and pedestrian – under three visual saliency conditions. Results show that landmarks consistently attract the most attention, while enhanced signage and path visibility improve visual focus. The findings offer practical insights for designing more legible and wayfinding-friendly innovation campuses, supporting spatial orientation and fostering informal encounters in environments where such interaction is valued
Vision science · Visual attention · Visualization · Augmented Reality Applications · Geographic Information Systems Studies · Spatial Cognition and Navigation
| Highly cited | No |
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