A Case for Studying Naturalistic Eye and Head Movements in Virtual Environments

Area of Science:

• Vision science
• Human-computer interaction
• Neuroscience

Background:

• Traditional eye tracking (ET) methods often lack ecological validity.
• Head-mounted displays (HMDs) integrated with virtual reality (VR) offer a controlled yet naturalistic environment for vision research.
• Previous research predominantly relies on monitor-based displays, limiting the scope of eye movement studies.

Observation:

• Eye and head movements were tracked simultaneously within a VR environment using HMDs.
• A visual discrimination paradigm was employed to elicit diverse eye and head movements.
• Stimulus presentation was precisely controlled in timing and location within the virtual environment.

Findings:

• The study demonstrates the feasibility of collecting synchronized eye and head tracking data in VR.
• It identifies both the strengths and limitations of current VR-based eye and head tracking data acquisition and classification.
• A flexible graphical user interface (GUI) was developed to facilitate VR research setup.

Implications:

• This research provides a proof-of-concept for using VR-based HMDs in vision science.
• The developed GUI and dataset can lower the barrier for researchers entering VR-based vision research.
• The synchronized dataset can aid in the development and validation of advanced eye movement classification algorithms.