Applied Adaptive Virtual Reality: Systems for Robotic Teleoperation in Space and other Dangerous Domains

Robots are being utilized in many different ways in today’s society. Teleoperated robots are robots that can be controlled from a distance. This is commonly done with remote controllers while observing the robot through a screen, but using virtual reality (VR) is also a possibility. VR teleoperation has many benefits, but if a robot is operating in a dangerous environment, as is one of the main applications for these types of robots, the feeling of immersion caused by VR may be problematic. If the operator feels they themselves are in danger, that may negatively impact their performance. The following paper introduces Applied Adaptive VR (AAVR) as a potential solution to this problem. AAVR is a combination of current VR technologies, such as fear modeling, that could be applied to real world teleoperation tasks. The purpose of AAVR is to have VR environments adapt during teleoperation to be less fear inducing, which is expected to improve performance. Relevant topics of interest, and methods and recommendations for developing such a system are discussed.

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Publication Details

Journal
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Published
2024-08-30
DOI
https://doi.org/10.1177/10711813241277523
Primary Topic
Augmented Reality Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Applied Adaptive Virtual Reality: Systems for Robotic Teleoperation in Space and other Dangerous Domains

Lydia Melles, Elizabeth Phillips
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Augmented Reality Applications
article

Applied Adaptive Virtual Reality: Systems for Robotic Teleoperation in Space and other Dangerous Domains

Lydia Melles, Elizabeth Phillips
article en

Abstract

Robots are being utilized in many different ways in today’s society. Teleoperated robots are robots that can be controlled from a distance. This is commonly done with remote controllers while observing the robot through a screen, but using virtual reality (VR) is also a possibility. VR teleoperation has many benefits, but if a robot is operating in a dangerous environment, as is one of the main applications for these types of robots, the feeling of immersion caused by VR may be problematic. If the operator feels they themselves are in danger, that may negatively impact their performance. The following paper introduces Applied Adaptive VR (AAVR) as a potential solution to this problem. AAVR is a combination of current VR technologies, such as fear modeling, that could be applied to real world teleoperation tasks. The purpose of AAVR is to have VR environments adapt during teleoperation to be less fear inducing, which is expected to improve performance. Relevant topics of interest, and methods and recommendations for developing such a system are discussed.

Proceedings of the Human Factors and Ergonomics Society Annual MeetingVol. 68(1)
George Mason University (US)
George Mason University
Partnerships for the goals
Openalex Percentile: Top 87%
Augmented Reality Applications
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Applied Adaptive Virtual Reality: Systems for Robotic Teleoperation in Space and other Dangerous Domains — Lydia Melles, Elizabeth Phillips · Proceedings of the Human Factors and Ergonomics Society Annual Meeting (2024) | TGRS Research Map | TGRS