Conference proceeding
Carousel: Improving the Accuracy of Virtual Reality Assessments for Inspection Training Tasks
Proceedings of the 28th ACM Symposium on Virtual Reality Software and Technology, pp 1-10
29 Nov 2022
Abstract
Training simulations in virtual reality (VR) have become a focal point of both research and development due to allowing users to familiarize themselves with procedures and tasks without needing physical objects to interact with or needing to be physically present. However, the increasing popularity of VR training paradigms raises the question: Are VR-based training assessments accurate? Many VR training programs, particularly those focused on inspection tasks, employ simple pass or fail assessments. However, these types of assessments do not necessarily reflect the user’s knowledge.
In this paper, we present Carousel, a novel VR-based assessment method that requires users to actively employ their training knowledge by considering all relevant scenarios during assessments. We also present a within-subject user study that compares the accuracy of our new Carousel method to a conventional pass or fail method for a series of virtual object inspection tasks involving shapes and colors. The results of our study indicate that the Carousel method affords significantly more-accurate assessments of a user’s knowledge than the binary-choice method.
Metrics
Details
- Title
- Carousel: Improving the Accuracy of Virtual Reality Assessments for Inspection Training Tasks
- Creators
- Jacob Belga - University of Central FloridaTiffany D. Do - Computer Science, University of Central Florida, United StatesRyan Ghamandi - University of Central FloridaRyan P. McMahan - University of Central FloridaJoseph J. LaViola - University of Central Florida
- Contributors
- Takafumi Koike (Editor) - Hosei UniversityNaoya Koizumi (Editor) - University of Electro-CommunicationsGerd Bruder (Editor) - University of Central Florida, USADaniel Roth (Editor) - Friedrich-Alexander-Universität Erlangen-NürnbergKazuki Takashima (Editor) - Tohoku UniversityTakefumi Hiraki (Editor) - University of TsukubaYuki Ban (Editor) - The University of TokyoMichal Piovarci (Editor) - Institute of Science and Technology Austria
- Publication Details
- Proceedings of the 28th ACM Symposium on Virtual Reality Software and Technology, pp 1-10
- Conference
- VRST '22: 28th ACM Symposium on Virtual Reality Software and Technology
- Series
- ACM Conferences
- Publisher
- ACM
- Number of pages
- 10
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science (Computing)
- Web of Science ID
- WOS:001066110500001
- Scopus ID
- 2-s2.0-85143586147
- Other Identifier
- 991021916517704721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Cybernetics
- Computer Science, Theory & Methods