Laurence R. Harris

Moving Heads, Moving Sounds: Systematic Errors in Auditory Motion Perception

This study shows that head movements create a perceptual bias in the direction of a moving sound source, similar to visual motion illusions, revealing errors in integrating auditory and proprioceptive cues.

A Repulsive Bias in Perceived Heading Away from the Straight-Ahead as Determined by Continuous Psychophysics

This study uses continuous psychophysics in VR to show repulsion away from straight ahead in heading perception, supporting the response-range explanation over egocentric reference frame.

No Evidence for a Vestibular Contribution to Object Motion Prediction

The paper tests whether vestibular cues or gravity priors influence motion prediction by comparing responses to 1g and -1g simulated trajectories, finding no significant differences.

Object Speed Perception during Self-Motion in Depth

This study investigates how self-motion affects perception of object speed in depth, finding overestimation of speed and direction errors when self-motion and object motion are in opposite or same directions.

Multisensory Continuous Psychophysics: Perceived Visual Object Location is Improved by Auditory Cues

This study uses continuous psychophysics to show that auditory cues improve perceived visual object location, particularly under high visual uncertainty.

Predicting Gravitational Self-Motion: Falling Down versus Falling Up

This study investigates whether humans use an internalized gravity prior to predict self-motion, finding evidence for its use under ecologically valid conditions but not when task instructions reduce immersion.

How the characteristics of a virtual environment affects the perception of travel distance through it

This study investigates how virtual environment characteristics affect perceived travel distance through systematic variation of environment structure, naturalism, color, and starfield density.

The Impact of Visually Simulated Self-Motion on Predicting Object Motion

This study investigates how visually simulated self-motion affects velocity estimation and motion prediction in a virtual reality environment, finding biases in time-to-contact but not speed estimation.