| id |
ecaade2024_145 |
| authors |
Xie, Yuchen; Li, Yunqin; Zhang, Jiaxin; Hu, Anqi |
| year |
2024 |
| title |
What Is the Difference Between Image and Real-World Scenes in Street Visual Walkability Perception: A case study of a university campus |
| doi |
https://doi.org/10.52842/conf.ecaade.2024.2.107
|
| source |
Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 107–116 |
| summary |
In recent years, an increasing number of studies have utilized Street View Images (SVI) to assess the Visual Walkability Perception (VWP) of urban streets. However, the results of walkability perception obtained through image scene evaluation may differ from those obtained in actual real-world scenes. To address this issue, this study proposes a methodology aimed at contrasting the disparities between based on image scene evaluation and real-world scene evaluations. We analyze eye-tracking data collected using desktop and glasses eye-trackers and conduct comprehensive comparative analyses of perception between images and real-world scenes using deep-learning vision and feature interpretation models. The findings indicate certain disparities between based on image scene evaluation and real-world scene perception in terms of street VWP. Future work will involve employing crowdsourced data for broader perceptual data collection and integrating other sensory data for further investigation. |
| keywords |
Deep Learning, Street View Image, Eye Tracker, Street Visual Walkability, Shapley Additive Explanations, Gradient-Weighted Class Activation Mapping |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (3,954,675 bytes) |
| references |
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