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The effect of landscape colour, complexity and preference on viewing behaviour

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  • Angela Shi-Han Huang
  • Yann-Jou Lin

Abstract

What we comprehend and recollect in a landscape is closely related to how we look; therefore, attention to and understanding of human viewing behaviour is required. In our study, we employed eye-tracking technology as a means to understand visual perception. The objective of this study is to examine the relationships among landscape characteristics, landscape preference and viewing behaviour. A total of 45 subjects were asked to view 20 sets of photographs freely in a two-by-two display. Same landscape types were grouped together. The results indicated that higher hue variation and chroma encourages visual fixation. A strong relationship was identified between landscape preference and fixation count in mountain, aquatic and forest landscapes. People tend to have different preferences and different viewing behaviour while viewing different landscape types. It is concluded that magenta-green variation, yellow-blue colour field, and hue variation is an important factor in mountain, aquatic, and open landscapes, respectively.

Suggested Citation

  • Angela Shi-Han Huang & Yann-Jou Lin, 2020. "The effect of landscape colour, complexity and preference on viewing behaviour," Landscape Research, Taylor & Francis Journals, vol. 45(2), pages 214-227, February.
    • Handle: RePEc:taf:clarxx:v:45:y:2020:i:2:p:214-227
    DOI: 10.1080/01426397.2019.1593336
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    Cited by:

    1. Rong Fan & Ken P. Yocom & Yeyuan Guo, 2023. "Utilizing Fractal Dimensions as Indicators to Detect Elements of Visual Attraction: A Case Study of the Greenway along Lake Taihu, China," Land, MDPI, vol. 12(4), pages 1-21, April.
    2. Yangyang Shi & Jiao Zhang & Xinyue Shen & Liang Chen & Yunchen Xu & Rui Fu & Yang Su & Yiping Xia, 2022. "Designing Perennial Landscapes: Plant Form and Species Richness Influence the Gaze Perception Associated with Aesthetic Preference," Land, MDPI, vol. 11(10), pages 1-17, October.
    3. Yue Wu & Na Li & Lei Xia & Shanshan Zhang & Fangfang Liu & Miao Wang, 2023. "Visual attention predictive model of built colonial heritage based on visual behaviour and subjective evaluation," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-17, December.

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