Virtual Reality (VR) in Occupational Training: Enhancing Training Performance and Overcoming Challenges in Forklift Driving
dc.contributor.author | Islam, Md Shafiqul | en |
dc.contributor.committeechair | Lim, Sol Ie | en |
dc.contributor.committeemember | Kim, Sun Wook | en |
dc.contributor.committeemember | Nussbaum, Maury A. | en |
dc.contributor.committeemember | Jeon, Myounghoon | en |
dc.contributor.department | Industrial and Systems Engineering | en |
dc.date.accessioned | 2025-05-30T08:03:18Z | en |
dc.date.available | 2025-05-30T08:03:18Z | en |
dc.date.issued | 2025-05-29 | en |
dc.description.abstract | The rapid advancement of technology has transformed occupational training, with virtual reality (VR) emerging as a promising tool, particularly for high-risk environments like forklift driving. VR enables immersive, hands-on learning in a safe, controlled setting, reducing real-world hazards. However, current VR-based occupational training often falls short in preparing novice operators for complex, real-world tasks requiring advanced skills. Additionally, cybersickness remains a critical barrier to broader adoption. To address these challenges, our research pursued three interconnected goals. First, we aimed to enhance training effectiveness through real-time multimodal feedback in VR forklift-driving training. In the initial phase of our first study, we gathered expert strategies from 12 experienced forklift drivers and identified common errors among 20 novices. Based on these observations, we developed visual and haptic feedback methods. In the second phase, 15 novices completed training modules incorporating these feedback types. Haptic feedback significantly reduced training completion time compared to either visual or combined feedback (visual and haptic), but not significantly different from no feedback in the fork-pallet engagement module. Visual and combined feedback, however, increased completion times compared to providing no feedback. Haptic feedback also reduced perceived mental demands compared to visual or no feedback. Semi-structured interviews provided further user experience feedback and design considerations for future feedback systems. During the first study, we observed high dropout rates due to cybersickness, especially among older adults and female participants. This led to our second study, which examined the impact of demographic factors, i.e., age and sex, on cybersickness susceptibility during VR-based forklift training. Using the Simulator Sickness Questionnaire (SSQ) and survival analysis on data from 20 participants, we found that older adults were universally more vulnerable to cybersickness, while sex showed no significant effect. Our third study explored the role of head rotations and elevated height in cybersickness onset. We recruited 26 participants to perform controlled head rotations (pitch, yaw, and roll) from both ground level and elevated positions within a VR forklift driving environment. Subjective reports indicated that three-axis head rotations and elevated height significantly increased the risk of cybersickness. Together, these findings inform the design of more effective and inclusive VR-based training systems for forklift driving. By integrating tailored feedback and accounting for demographic and movement-related factors, we can improve training outcomes while reducing cybersickness and enhancing accessibility for diverse users. | en |
dc.description.abstractgeneral | Virtual reality (VR) is revolutionizing the way people learn complex job skills, such as forklift driving. It offers a safe and immersive way for trainees to practice without the risks of real-life training. But while VR training has many benefits, it also comes with challenges. Many trainees struggle with tasks that involve real-world complexity, and a substantial number experience cybersickness—a form of motion sickness caused by the virtual environment. Our research focused on improving VT forklift training by exploring two key questions: How can feedback help learners perform better? And why do some people experience cybersickness more than others? In our first study, we looked at how different types of feedback–such as visual cues and haptic (vibration-based) signals–could support learning. We started by interviewing twelve experienced forklift drivers to learn the strategies they use on the job. We also observed twenty novices to understand common mistakes. From these observations, we designed a VR training system that provided different types of real-time feedback. We then tested the system with fifteen novice users. We found that haptic feedback alone helped users complete tasks faster and with less mental effort. In contrast, visual feedback–whether alone or combined with haptics–actually slowed users down. While testing this system, we noticed that some participants, particularly older adults and women, experienced severe cybersickness and had to stop training. This led us to a second study focused on understanding who is most affected by cybersickness. We recruited twenty participants and measured their susceptibility to cybersickness during typical forklift-driving tasks. The results indicated that older adults were more vulnerable to cybersickness, while biological sex did not make a significant difference. In our third study, we investigated how head rotation and scene height–an important part of driving a forklift–might contribute to cybersickness. We asked twenty-six participants to move their heads in different directions (up and down, side-to-side, and tilting) while using the VR simulator, both at ground level and from an elevated height. We measured their self-reported symptoms using two scales. Our findings showed that head rotations in all three directions and elevated height significantly increased the risk of cybersickness. Taken together, these studies provide essential knowledge into how VR training can be made more effective and inclusive. By designing feedback systems and understanding what causes cybersickness, we can create VR-based occupational training that benefits all users—regardless of age or sensitivity to motion. Our ultimate goal is to make VR-based occupational training not just innovative, but also comfortable, accessible, and impactful for all users. | en |
dc.description.degree | Doctor of Philosophy | en |
dc.format.medium | ETD | en |
dc.identifier.other | vt_gsexam:43954 | en |
dc.identifier.uri | https://hdl.handle.net/10919/134300 | en |
dc.language.iso | en | en |
dc.publisher | Virginia Tech | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject | Virtual Reality | en |
dc.subject | Forklift | en |
dc.subject | Occupational Training | en |
dc.subject | Multimodal Feedback | en |
dc.subject | Cybersickness | en |
dc.title | Virtual Reality (VR) in Occupational Training: Enhancing Training Performance and Overcoming Challenges in Forklift Driving | en |
dc.type | Dissertation | en |
thesis.degree.discipline | Industrial and Systems Engineering | en |
thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
thesis.degree.level | doctoral | en |
thesis.degree.name | Doctor of Philosophy | en |
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