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Open AccessArticle

3D Point Clouds and Eye Tracking for Investigating the Perception and Acceptance of Power Lines in Different Landscapes

1
Planning of Landscape and Urban Systems (PLUS), IRL, ETH Zürich, 8093 Zürich, Switzerland
2
Geoinformation Engineering, IKG, ETH Zürich, 8093 Zürich, Switzerland
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Author to whom correspondence should be addressed.
Multimodal Technologies Interact. 2019, 3(2), 40; https://doi.org/10.3390/mti3020040
Received: 29 April 2019 / Revised: 24 May 2019 / Accepted: 27 May 2019 / Published: 4 June 2019
(This article belongs to the Special Issue Interactive 3D Cartography)
The perception of the visual landscape impact is a significant factor explaining the public’s acceptance of energy infrastructure developments. Yet, there is lack of knowledge how people perceive and accept power lines in certain landscape types and in combination with wind turbines, a required setting to achieve goals of the energy turnaround. The goal of this work was to demonstrate how 3D point cloud visualizations could be used for an eye tracking study to systematically investigate the perception of landscape scenarios with power lines. 3D visualizations of near-natural and urban landscapes were prepared based on data from airborne and terrestrial laser scanning. These scenes were altered with varying amounts of the respective infrastructure, and they provided the stimuli in a laboratory experiment with 49 participants. Eye tracking and questionnaires served for measuring the participants’ responses. The results show that the point cloud-based simulations offered suitable stimuli for the eye tracking study. Particularly for the analysis of guided perceptions, the approach fostered an understanding of disturbing landscape elements. A comparative in situ eye tracking study is recommended to further evaluate the quality of the point cloud simulations, whether they produce similar responses as in the real world. View Full-Text
Keywords: 3D landscape visualizations; LiDAR data; landscape planning; perception studies; eye tracking 3D landscape visualizations; LiDAR data; landscape planning; perception studies; eye tracking
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MDPI and ACS Style

Wissen Hayek, U.; Müller, K.; Göbel, F.; Kiefer, P.; Spielhofer, R.; Grêt-Regamey, A. 3D Point Clouds and Eye Tracking for Investigating the Perception and Acceptance of Power Lines in Different Landscapes. Multimodal Technologies Interact. 2019, 3, 40.

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