Issue |
SHS Web of Conf.
Volume 171, 2023
2023 4th International Conference on Mental Health, Education and Human Development (MHEHD 2023)
|
|
---|---|---|
Article Number | 03035 | |
Number of page(s) | 4 | |
Section | Sociology and Human Development Research | |
DOI | https://doi.org/10.1051/shsconf/202317103035 | |
Published online | 28 June 2023 |
Visual perception of traditional Village Landscape: An Eye Tracking Experiment
1 School of Landscape Architecture, Beijing Forestry University, Beijing, China
2 Beijing BLDJ Landscape Architecture Institute Company, Beijing, China
* Corresponding author: liuw07@bjfu.edu.cn
In order to objectively quantify the visual perception of traditional village landscape, 50 university students were recruited to make eye-tracking experiment of different landscape elements in the countryside and analyze the data to assess the attractiveness of different elements. Eye-tracking experiment quantifies the experimental information. The experimental results show that mountain and landscape structure can mostly attract attention of observers in actual observation process, but this result is different from subjective preference of questionnaire. By comparing the results of eye-tracking experiment and questionnaire, it can be concluded that the observation time of landscape elements depends on the proportion of elements in space; subjective preference depends on the observation time of landscape elements. Therefore, eye-tracking data can assess subjective preference of observers for the landscape, and then have a certain guiding role for the planning and construction of rural landscape.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.