The primary purpose of this study was to determine if WebVR enhances the knowledge retention regarding mechanical components of high-risk moving machinery, specifically elevators. There were 23 participants divided into a treatment group and comparison group. The treatment group used WebVR to take a virtual elevator machine room tour while the comparison group studied printed images of the same elevator machine room. These alternative activities were conducted prior to a field trip to a real elevator machine room. Gains in knowledge pre to post were measured and compared between the treatment and comparison groups. The research findings showed an overall gain in knowledge for the participants in the elevator bootcamp. More in depth analysis showed the treatment group exhibited significant gains for six of the ten knowledge areas while the comparison group exhibited significant gains in three of the ten targeted knowledge areas. The treatment group gained more knowledge on components higher than eye-level while the comparison group scored better on components that were below eye-level or on the floor. Both groups were seen actively engaged in the field trips. The treatment group members exposed to the virtual reality elevator machine room frequently referred to what they saw in the WebVR while the comparison group did not refer to their printed images while on an actual tour of the elevator machine room. Virtual reality training of this type has the potential to improve basic knowledge and safety trainings. Added, it provides trainings to large numbers of people across the globe who would otherwise not receive such training. This type of training has the potential to save the lives of workers in high risk electro-mechanical spaces and similar settings in different industries.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc1609130 |
| Date | 12 1900 |
| Creators | Lepcha, Samson Den |
| Contributors | Knezek, Gerald, Christensen, Rhonda, Lin, Lin |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | viii, 104 pages, Text |
| Rights | Public, Lepcha, Samson Den, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved. |
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