Visual behavior characteristics of historical landscapes based on eye-tracking technology

Author:

Hao Shimeng1,Hou Rui1,Zhang Jie12,Shi Yang1,Zhang Yisong1,Wang Chen1

Affiliation:

1. School of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture, Beijing, China

2. School of Architecture, Tsinghua University, Beijing, China

Funder

Beijing Municipal Natural Science Foundation

the Key Program of Social Science Fund of Beijing

Publisher

Informa UK Limited

Reference68 articles.

1. Influence of Building faà § Ade Visual Elements on Its Historical Image: Case of Kuala Lumpur City, Malaysia;Askari A. H.;Journal of Design & Built Environment,2009

2. The Legibility Efficacy of Historical Neighborhoods in Creating a Cognitive Map for Citizens

3. Benjamins, J. S., R. S. Hessels, and I. T. Hooge 2018, June. “GazeCode: Open-Source Software for Manual Mapping of Mobile Eye-Tracking Data.” In Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications, New York, United States, 1–4.

4. A Methodology for the Analysis of Dimensional Features of Traditional Rural Buildings to Implement the FarmBuiLD Model

5. Do eye movements measured across high and low fascination photographs differ? Addressing Kaplan's fascination hypothesis

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