Investigating distortions in perceptual stability during different self-movements using virtual reality

Area of Science:

• Cognitive Psychology
• Neuroscience
• Human-Computer Interaction

Background:

• Perceptual stability judgments are crucial for navigating dynamic environments.
• Understanding how self-motion influences scene stability perception is key to explaining sensory integration.
• Virtual reality offers a controlled environment to investigate these perceptual phenomena.

Purpose of the Study:

• To measure bias and sensitivity in scene stability judgments during active and passive self-motion.
• To investigate the role of efference copy and visual self-motion cues in perceptual stability.
• To examine consistency of perceptual biases across different movement conditions.

Main Methods:

• Utilized immersive virtual reality (HTC Vive Head Mounted Display) with 16 participants.
• Assessed scene stability judgments under active (self-propelled) and passive (experimenter-propelled) observer movements.
• Employed yoked observer-target movement conditions where target instability was linked to observer motion.

Main Results:

• Objects required to move in the same direction as the participant were perceived as scene-stable.
• Active movement conditions showed smaller biases and higher sensitivity to instability compared to passive conditions.
• Efference copy alone was insufficient to eliminate bias, suggesting additional visual self-motion cues are critical.

Conclusions:

• Perceptual stability judgments are influenced by the availability of self-motion information (efference copy and visual cues).
• Consistent biases across different movement types suggest common underlying neural processing for perceptual stability.
• Findings contribute to understanding sensory integration and motion perception in virtual and real environments.