Recently, the use of extended reality (XR) systems has been on the rise, to tackle various domains such as training, education, safety, etc. With the recent advances in augmented reality (AR), virtual reality (VR) and mixed reality (MR) technologies and ease of availability of high-end, commercially available hardware, the manufacturing industry has seen a rise in the use of advanced XR technologies to train its workforce. While several research publications exist on applications of XR in manufacturing training, a comprehensive review of recent works and applications is lacking to present a clear progress in using such advance technologies. To this end, we present a review of the current state-of-the-art of use of XR technologies in training personnel in the field of manufacturing. First, we put forth the need of XR in manufacturing. We then present several key application domains where XR is being currently applied, notably in maintenance training and in performing assembly task. We also reviewed the applications of XR in other vocational domains and how they can be leveraged in the manufacturing industry. We finally present some current barriers to XR adoption in manufacturing training and highlight the current limitations that should be considered when looking to develop and apply practical applications of XR.
A systematic review of Human Computer Interaction (HCI) research in medical and other engineering fields
This article provides a systematic review of research related to Human–Computer
Interaction techniques supporting training and learning in various domains including medicine,
healthcare, and engineering. The focus is on HCI techniques involving Extended Reality (XR) technology which encompasses Virtual Reality, Augmented Reality, and Mixed Reality. HCI-based
research is assuming more importance with the rapid adoption of XR tools and techniques in various
training and learning contexts including education. There are many challenges in the adoption
of HCI approaches, which results in a need to have a comprehensive and systematic review of
such HCI methods in various domains. This article addresses this need by providing a systematic
literature review of a cross-s Q1 ection of HCI approaches involving proposed so far.
The PRISMA-guided search strategy identified 1156 articles for abstract review.
Irrelevant abstracts were discarded. The whole body of each article was reviewed for the remaining
articles, and those that were not linked to the scope of our specific issue were also eliminated.
Following the application of inclusion/exclusion criteria, 69 publications were chosen for review.
This article has been divided into the following sections: Introduction; Research methodology;
Literature review; Threats of validity; Future research and Conclusion. Detailed classifications (pertaining
to HCI criteria and concepts, such as affordance; training, and learning techniques) have
also been included based on different parameters based on the analysis of research techniques
adopted by various investigators. The article concludes with a discussion of the key challenges for
this HCI area along with future research directions.
A review of the research outcomes from these publications underscores the potential for
greater success when such HCI-based approaches are adopted during such 3D-based training
interactions. Such a higher degree of success may be due to the emphasis on the design of userfriendly (and user-centric) training environments, interactions, and processes that positively impact
the cognitive abilities of users and their respective learning/training experiences.
We discovered data validating XR-HCI as an ascending method that brings a new
paradigm by enhancing skills and safety while reducing costs and learning time through replies to
three exploratory study questions. We believe that the findings of this study will aid academics in
developing new research avenues that will assist XR-HCI applications to mature and become more
widely adopted.
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- Award ID(s):
- 2050960
- NSF-PAR ID:
- 10438229
- Date Published:
- Journal Name:
- International journal of human computer interactions
- Volume:
- Sept 2022
- ISSN:
- 2180-1347
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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