AdEyeVR - Analysing Dynamic Eye Tracking in Outdoor and Point Cloud-based Virtual Reality (VR) Landscapes
VR-technology, with its controlled environments and advanced sensing techniques, allows us to study human behavior, perception, and cognition in various contexts, including landscapes and urban settings. While eye tracking in 3D dynamic spaces is promising, it presents challenges in data analysis. In this study, we assess the relationship between observational patterns and landscape form and how these patterns relate to individual spatial cognition of an outdoor environment.
Motivation and Goal
Our goal was to compare human gaze patterns and landscape ratings in outdoor environments (in-situ study) with those in virtual reality (VR) environments (virtual / photosphere study) to better understand correlations of attention, memory, and cognitive perception. To this end, we designed an empirical study in three parts using eye tracking, questionnaires, and sketch mapping for data collection. The first part was an in-situ exploration of a rural landscape in Switzerland to survey the quality of cultural ecosystem service provision (aesthetics, restoration). The second was a laboratory experiment using virtual reconstructions of this landscape as virtual 3D point cloud-based simulation, and the third part used a 360 degree photosphere, respectively to be perceived with a head mounted display.
Approach
The participants either took part in the in-situ or in the virtual study. In the in-situ study they were equipped with an eye-tracker and explored the environment from a designated spot in a rural landscape. Participants in the virtual study perceived a 3D simulation of the same landscape through a head mounted display including an eye tracker in the lab. All participants were invited to turn around in their pace while exploring the environment. Data was recorded of the landscape areas where they were focusing on, the pupil size, and eye movements. In addition, participants were asked to complete a questionnaire.
Significance of the Project
Overall, this research enhances eye-tracking analysis in 3D dynamic spaces and establishes empirical links between observation patterns and cognitive mechanisms. It also offers a method to objectively measure how environmental stimuli influence observation patterns, aiding in a holistic understanding of human behavior in space. The results can contribute to the authenticity and reliability of virtual spaces for behavioral research and advance the analysis of human perception and responses to landscapes.
Project Data
Project Team
Dr. Ulrike Wissen Hayek, ETH Zurich, PLUS & LVML (Project Management)
Laura Schalbetter, ETH Zurich, PLUS
Prof. Dr. Adrienne Grêt-Regamey, ETH Zurich, PLUS
external page Prof. Dr. Brent Chamberlain, Utah State University, Landscape Architecture and Environmental Planning
David Henry Evans, Utah State University, Landscape Architecture and Environmental Planning
Dr. Peter Kiefer, ETH Zurich, Geoinformation Engineering, geoGazeLab
Lin Che, ETH Zurich, Geoinformation Engineering
Funding
SNF Research Visit Grant (IZSEZ0_223124 / 1)
Duration
June 2024 to December 2024
Contact
Dr. Ulrike Wissen Hayek, ETH Zürich, PLUS