Perception of Looming Motion in Virtual Reality Egocentric Interception Tasks.

Area of Science:

• Human-Computer Interaction
• Virtual Reality
• Perception Psychology

Background:

• Virtual Reality (VR) presents challenges in accurately perceiving motion in depth.
• This inaccuracy impedes user interaction with dynamic virtual objects, particularly in gaming scenarios.
• Current methods lack personalized adjustments for individual motion perception differences.

Purpose of the Study:

• To investigate if modifying motion cues can enhance interactions in VR.
• To develop and test a user-specific method for correcting motion-in-depth perception errors.
• To improve the accuracy of intercepting moving objects in virtual environments.

Main Methods:

• A time-to-contact estimation task was used to assess user underestimation of speed.
• A user-specific model of motion-in-depth perception was constructed.
• Monocular depth cues were modified based on individual user models in a simulated baseball environment.

Main Results:

• Users consistently underestimated the speed of virtual objects.
• The proposed cue modification method significantly reduced interception errors.
• Intervention effectiveness was most pronounced at higher ball speeds, aligning with sensorimotor limitations.

Conclusions:

• Personalized modification of monocular depth cues can effectively correct motion-in-depth underestimation in VR.
• This approach enhances user performance in dynamic virtual environments, especially under speed constraints.
• The method offers a practical solution for improving VR user experience with dynamic content.