Content area

Abstract

The rapid integration of VR in various application domains necessitates a deeper understanding of how levels of user experience impact user performance and task efficiency.

This study investigates the relationship between experience with VR, expertise in 3d computer gaming, and physiological skills across multiple performance metrics, such as task-completion time, task load, accuracy, manipulation speed, and related spatial requirements. In a comprehensive analysis of multiple levels of VR experience and 3d computer-game expertise, we identified key trends that indicate increased experience in both domains significantly enhances task efficiency while at the same time reduces perceived workload and improves task accuracy. Notably, more experience in VR and higher levels of expertise in controlling 3d computer games consistently correlate with faster task completion time, lower task-load scores, and more stable performance metrics. This underscores the value of proficiency in VR environments. Interestingly, we found that physical space requirements remain consistently low across all experience levels, highlighting the accessibility of existing VR technology.

Details

1010268
Title
Evaluating Adjustment and Proficiency Disparities in Virtual Reality
Number of pages
81
Publication year
2025
Degree date
2025
School code
1204
Source
MAI 87/2(E), Masters Abstracts International
ISBN
9798290971056
Committee member
Springer, Jan P.; AbuHalimeh, Ahmed
University/institution
University of Arkansas at Little Rock
Department
Computer Science
University location
United States -- Arkansas
Degree
M.S.
Source type
Dissertation or Thesis
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
32174049
ProQuest document ID
3240628829
Document URL
https://www.proquest.com/dissertations-theses/evaluating-adjustment-proficiency-disparities/docview/3240628829/se-2?accountid=208611
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Database
ProQuest One Academic