The Relationships between Perceived Design Intensity, Preference, Restorativeness and Eye Movements in Designed Urban Green Space
| Autor: | Jian Liu, Qitang Huang, Liu Qunyue, Kunyong Yu, Wu Yu, Zhixiong Zhuo |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
urban green space
Eye Movements Health Toxicology and Mutagenesis media_common.quotation_subject Parks Recreational Landscape design Article Perception Humans Set (psychology) preference media_common eye-tracking business.industry Public Health Environmental and Occupational Health Eye movement design intensity Preference Intensity (physics) Fixation (visual) Eye tracking Medicine business Psychology restorativeness Cognitive psychology |
| Zdroj: | International Journal of Environmental Research and Public Health, Vol 18, Iss 10944, p 10944 (2021) International Journal of Environmental Research and Public Health Volume 18 Issue 20 |
| ISSN: | 1661-7827 1660-4601 |
| Popis: | Recent research has demonstrated that landscape design intensity impacts individuals’ landscape preferences, which may influence their eye movement. Due to the close relationship between restorativeness and landscape preference, we further explore the relationships between design intensity, preference, restorativeness and eye movements. Specifically, using manipulated images as stimuli for 200 students as participants, the effect of urban green space (UGS) design intensity on landscapes’ preference, restorativeness, and eye movement was examined. The results demonstrate that landscape design intensity could contribute to preference and restorativeness and that there is a significant positive relationship between design intensity and eye-tracking metrics, including dwell time percent, fixation percent, fixation count, and visited ranking. Additionally, preference was positively related to restorativeness, dwell time percent, fixation percent, and fixation count, and there is a significant positive relationship between restorativeness and fixation percent. We obtained the most feasible regression equations between design intensity and preference, restorativeness, and eye movement. These results provide a set of guidelines for improving UGS design to achieve its greatest restorative potential and shed new light on the use of eye-tracking technology in landscape perception studies. |
| Databáze: | OpenAIRE |
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