SEAT SELECTION BEHAVIOR ANALYSIS BASED ON EYE-TRACKING EXPERIMENTS IN VR ATRIUM SPACES

To design attractive large scale atrium spaces, it is crucial to understand peopole’s behavioral characteristics, particularly how individuals choose and use places to stay. Although large body of studies have examined factors influencing the selection of staying locations, few have explored the role of the visual environment. This research investigates the impact of visual elements on seat selection behavior. Specifically, we develop a nested logit model of seat selection based on gaze data collected through a seating selection experiment conducted in virtual reality (VR) environments.