Evaluating virtual reality and augmented reality training for industrial maintenance and assembly tasks

By N. Gavish, T. Gutiérrez, Sabine Webel, Jorge Rodríguez, Matteo Peveri, U. Bockholt, F. Tecchia. Interactive Learning Environments, 2015

642 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Surgery, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/e9d9de2b0fe8fcd44f9a8dd80aa4016656520b7a

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In Computer Vision and Pattern Recognition

In Human-Computer Interaction

Citations in the corpus

Augmented reality in support of Industry 4.0 - Implementation challenges and success factors (2019, background): “Especially two perspectives have been identified as relevant in AR and TOE literature, namely adapting the process [61, 104] and involving the users before and during the implementation process [62].”
Augmented reality technology in the manufacturing industry: A review of the last decade (2019, methodology): “VR applications have been proposed by Park and Kim (2013), Gavish et al .”
A comprehensive survey of augmented reality assembly research (2016, positive): “Recently, Gavish et al. [81] reported their empirical evaluation of efﬁciency and effectiveness of AR and VR systems within the scope of the SKILLS Integrated Project for industrial maintenance and assembly (IMA) tasks training to demonstrate the usefulness of the AR platform.”
User Acceptance of Virtual Reality: An Extended Technology Acceptance Model (2020, background): “A wide variety of VR applications have been developed for the purposes of leisure (e.g., Yoon, Lee, & Park, 2018), education (e.g., Lamb, Antonenko, Etopio, & Seccia, 2018), training (e.g., Gavish et al., 2015), therapy (e.g., Freeman et al., 2016), and rehabilitation (e.g., Hsu et al., 2017).”
Advantages and challenges associated with augmented reality for education : A systematic review of the literature (2017, background): “A recent study by Gavish et al. (2015), with a participant pool of 40 expert technicians in industrial maintenance and assembly tasks training, revealed that AR training helps technicians to prevent errors by focusing trainees on key points in the task. The researchers suggested that AR platforms sh”