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Eye-tracking Analysis in Landscape Perception Research: Influence of Photograph Properties and Landscape Characteristics

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Listed:
  • Lien Dupont
  • Marc Antrop
  • Veerle Van Eetvelde

Abstract

The European Landscape Convention emphasises the need for public participation in landscape planning and management. This demands understanding of how people perceive and observe landscapes. This can objectively be measured using eye tracking, a system recording eye movements and fixations while observing images. In this study, 23 participants were asked to observe 90 landscape photographs, representing 18 landscape character types in Flanders (Belgium) differing in degree of openness and heterogeneity. For each landscape, five types of photographs were shown, varying in view angle. This experiment design allowed testing the effect of the landscape characteristics and photograph types on the observation pattern, measured by Eye-tracking Metrics (ETM). The results show that panoramic and detail photographs are observed differently than the other types. The degree of openness and heterogeneity also seems to exert a significant influence on the observation of the landscape .

Suggested Citation

  • Lien Dupont & Marc Antrop & Veerle Van Eetvelde, 2014. "Eye-tracking Analysis in Landscape Perception Research: Influence of Photograph Properties and Landscape Characteristics," Landscape Research, Taylor & Francis Journals, vol. 39(4), pages 417-432, August.
    • Handle: RePEc:taf:clarxx:v:39:y:2014:i:4:p:417-432
    DOI: 10.1080/01426397.2013.773966
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    Cited by:

    1. Yu Wu & Zhixiong Zhuo & Qunyue Liu & Kunyong Yu & Qitang Huang & Jian Liu, 2021. "The Relationships between Perceived Design Intensity, Preference, Restorativeness and Eye Movements in Designed Urban Green Space," IJERPH, MDPI, vol. 18(20), pages 1-16, October.
    2. Fabrizio Aimar & Francesca Cavagnino & Marco Devecchi, 2022. "Conservation and Management of Agricultural Landscapes through Expert-Supported Participatory Processes: The “Declarations of Public Interest” in an Italian Province," Sustainability, MDPI, vol. 14(14), pages 1-28, July.
    3. Gianni Talamini & Ting Liu & Roula El-Khoury & Di Shao, 2023. "Visibility and symbolism of corporate architecture: A multi-method approach for visual impact assessment," Environment and Planning B, , vol. 50(9), pages 2407-2429, November.
    4. Kyu-Chul Lee & Yong-Hoon Son, 2017. "Exploring Landscape Perceptions of Bukhansan National Park According to the Degree of Visitors’ Experience," Sustainability, MDPI, vol. 9(8), pages 1-27, July.
    5. Antonio Santoro & Martina Venturi & Mauro Agnoletti, 2021. "Landscape Perception and Public Participation for the Conservation and Valorization of Cultural Landscapes: The Case of the Cinque Terre and Porto Venere UNESCO Site," Land, MDPI, vol. 10(2), pages 1-24, January.
    6. Pihel, Johan & Ode Sang, Åsa & Hagerhall, Caroline & Nyström, Marcus, 2015. "Expert and novice group differences in eye movements when assessing biodiversity of harvested forests," Forest Policy and Economics, Elsevier, vol. 56(C), pages 20-26.
    7. Suling Guo & Wei Sun & Wen Chen & Jianxin Zhang & Peixue Liu, 2021. "Impact of Artificial Elements on Mountain Landscape Perception: An Eye-Tracking Study," Land, MDPI, vol. 10(10), pages 1-18, October.
    8. Chang Li & Xiaohui Huang, 2022. "Differences in Visual Attraction between Historical Garden and Urban Park Walking Scenes," Land, MDPI, vol. 11(10), pages 1-16, October.
    9. Youngeun Kang & Eujin Julia Kim, 2019. "Differences of Restorative Effects While Viewing Urban Landscapes and Green Landscapes," Sustainability, MDPI, vol. 11(7), pages 1-19, April.
    10. 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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