P-1A.5

vrGazeCore: A toolbox for virtual reality eye-tracking analysis

Deepasri Prasad, Amanda J. Haskins, Thomas L. Botch, Dartmouth College, United States; Jeff Mentch, Massachusetts Institute of Technology, United States; Caroline E. Robertson, Dartmouth College, United States

Session:
Posters 1A Poster

Track:
Cognitive science

Location:
North Schools

Presentation Time:
Thu, 24 Aug, 17:00 - 19:00 United Kingdom Time

Abstract:
Virtual reality (VR) combined with in-headset eyetracking is a powerful method for studying vision and memory in naturalistic conditions. Using VR, participants actively explore visual environments from a first-person perspective by moving their eyes, heads, bodies. To date, existing software for processing eyetracking data from VR headsets is proprietary, and often black-boxed to the researchers using it as a result. Here we present vrGazeCore, an open-source toolbox that processes eye-tracking data from 360° VR scenes at both the individual and group levels. The toolbox has a flexible processing pipeline that rectifies raw eye coordinates with head position, determines fixations in a scene, and calculates fixation density maps for a scene, which can later be aligned with models of scene content. In addition, analysis parameters can be tailored to fit the needs of the researcher. In sum, vrGazeCore makes the study of active vision in immersive scenes more accessible by offering a flexible, open-source package for analyzing eye-tracking data from head-mounted VR displays.

Manuscript:
License:
Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 Unported License.
DOI:
10.32470/CCN.2023.1555-0
Publication:
2023 Conference on Cognitive Computational Neuroscience
Presentation
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