Finding landmarks - An investigation of viewing behavior during spatial navigation in VR using a graph-theoretical analysis approach.

ABSTRACT: Vision provides the most important sensory information for spatial navigation. Recent technical advances allow new options to conduct more naturalistic experiments in virtual reality (VR) while additionally gathering data of the viewing behavior with eye tracking investigations. Here, we propose a method that allows one to quantify characteristics of visual behavior by using graph-theoretical measures to abstract eye tracking data recorded in a 3D virtual urban environment. The analysis is based on eye tracking data of 20 participants, who freely explored the virtual city Seahaven for 90 minutes with an immersive VR headset with an inbuild eye tracker. To extract what participants looked at, we defined "gaze" events, from which we created gaze graphs. On these, we applied graph-theoretical

SUBMITTER: Walter JL 

PROVIDER: S-EPMC9203010 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature