TY - GEN
T1 - Virtual Reality for Industrial Assembly Training
T2 - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023
AU - Niedermayr, Daniel
AU - Wolfartsberger, Josef
AU - Maurer, Martina
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Virtual Reality is a transformative technology with potential for industrial training. By offering immersive, safe, and cost-effective simulations, Virtual Reality can greatly enhance learning outcomes and operational efficiency in industrial settings. This paper investigates the use of Virtual Reality to improve manual assembly process training in industry. To date, little research has been done on the impact of realistic tool simulations, especially with the use of standard controllers instead of specialized equipment. To address this research gap, a user study compared two versions of a Virtual Reality application: one with realistic tool interactions and one without. Participants actively engaged with these variants, allowing for a detailed analysis of performance and learning outcomes. The findings reveal no significant difference in learning outcomes between those variants. This challenges the assumption that increased realism automatically improves learning in Virtual Reality for industrial training. However, the qualitative evaluation reveals more user engagement and entertainment when realistic tool interactions were incorporated. In summary, Virtual Reality training offers immersive and cost-effective solutions for industrial applications. These insights contribute to exploring optimal implementation strategies for Virtual Reality trainings in industrial settings, where the balance between realism, complexity, engagement, and learning effectiveness is being investigated.
AB - Virtual Reality is a transformative technology with potential for industrial training. By offering immersive, safe, and cost-effective simulations, Virtual Reality can greatly enhance learning outcomes and operational efficiency in industrial settings. This paper investigates the use of Virtual Reality to improve manual assembly process training in industry. To date, little research has been done on the impact of realistic tool simulations, especially with the use of standard controllers instead of specialized equipment. To address this research gap, a user study compared two versions of a Virtual Reality application: one with realistic tool interactions and one without. Participants actively engaged with these variants, allowing for a detailed analysis of performance and learning outcomes. The findings reveal no significant difference in learning outcomes between those variants. This challenges the assumption that increased realism automatically improves learning in Virtual Reality for industrial training. However, the qualitative evaluation reveals more user engagement and entertainment when realistic tool interactions were incorporated. In summary, Virtual Reality training offers immersive and cost-effective solutions for industrial applications. These insights contribute to exploring optimal implementation strategies for Virtual Reality trainings in industrial settings, where the balance between realism, complexity, engagement, and learning effectiveness is being investigated.
KW - Assembly Training
KW - Empirical studies in interaction design
KW - Evaluation
KW - Human computer interaction (HCI)
KW - Human-centered computing
KW - Interaction design
KW - Interaction Design
KW - Interaction paradigms
KW - Manufacturing
KW - Virtual reality
KW - Virtual Reality
UR - http://www.scopus.com/inward/record.url?scp=85180375560&partnerID=8YFLogxK
U2 - 10.1109/ISMAR-Adjunct60411.2023.00043
DO - 10.1109/ISMAR-Adjunct60411.2023.00043
M3 - Conference contribution
AN - SCOPUS:85180375560
T3 - Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023
SP - 183
EP - 190
BT - Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023
A2 - Bruder, Gerd
A2 - Olivier, Anne-Helene
A2 - Cunningham, Andrew
A2 - Peng, Evan Yifan
A2 - Grubert, Jens
A2 - Williams, Ian
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 16 October 2023 through 20 October 2023
ER -