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An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles

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Fully-Occluded Target Selection in Virtual Reality.

Difeng Yu, Qiushi Zhou, Joshua Newn

IEEE Transactions on Visualization and Computer Graphics

|September 28, 2020

Summary

This study introduces novel virtual reality (VR) techniques for selecting hidden objects. Findings guide the design of more effective VR interaction for occluded targets.

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Area of Science:

Human-Computer Interaction
Virtual Reality Systems
User Interface Design

Background:

Fully-occluded targets are prevalent in virtual environments, posing challenges for user interaction.
Existing virtual reality (VR) input techniques inadequately address the selection of hidden or occluded targets.

Purpose of the Study:

To develop and evaluate novel techniques for efficient fully-occluded target selection in VR.
To understand how various factors influence the performance of occluded target selection methods.

Main Methods:

Developed an initial set of seven techniques for fully-occluded target selection in VR.
Conducted two user studies to evaluate technique performance and refine promising methods.
Analyzed the impact of occlusion layers, target depth, object density, and location estimation.

Main Results:

Identified key factors affecting the performance of VR selection techniques for occluded targets.
Refined techniques based on initial study insights, leading to improved performance in a comprehensive study.
Demonstrated significant differences in technique effectiveness based on environmental and target characteristics.

Conclusions:

The findings provide crucial design implications for developing effective VR systems for occluded target selection.
Recommendations are offered to inform future VR interface design, enhancing user interaction with hidden virtual objects.
This research contributes to a better understanding of interaction challenges and solutions in complex virtual environments.