Towards design guidelines for virtual reality training for the chemical industry

Fracaro, Sofia Garcia; Chan, Philippe; Gallagher, Timothy; Tehreem, Yusra; Toyoda, Ryo; Bernaerts, Kristel; Glassey, Jarka; Pfeiffer, Thies; Slof, Bert; Wachsmuth, Sven; Wilk, Michael

doi:10.1016/j.ece.2021.01.014

Cited by 65 publications

(34 citation statements)

References 67 publications

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“…Work on AR visualization can also be driven by the use of quick response (QR) codes ( Figure 2 ), as examined in a number of works on structural 3D models. 61 The visualization software of 3D can be sophisticated for manipulating and visualizing a model in almost infinite ways; however, the procedure with QR codes is straightforward in representing structural data. This can be used in lectures or seminars by projecting/presenting these codes, and the audience can directly reproduce the 3D structure on their mobile device.…”

Section: Results and Analysis Of The Data On Jcr Research On Visualiz...mentioning

confidence: 99%

Augmented Reality, a Review of a Way to Represent and Manipulate 3D Chemical Structures

Fombona‐Pascual

Cadavieco

Vicente

2022

J. Chem. Inf. Model.

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Augmented reality (AR) is a mixed technology that superimposes three-dimensional (3D) digital data onto an image of reality. This technology enables users to represent and manipulate 3D chemical structures. In spite of its potential, the use of these tools in chemistry is still scarce. The aim of this work is to identify the real situation of AR developments and its potential for 3D visualization of molecules. A descriptive analysis of a selection of 143 research publications (extracted from Web of Science between 2018 and 2020) highlights some significant AR examples that had been implemented in chemistry, in both education and research environments. Although the traditional 2D screen visualization is still preferred when teaching chemistry, the application of AR in early education has shown potential to facilitate the understanding and visualization of chemical structures. The increasing connectivity of the AR technology to web platforms and scientific networks should translate into new opportunities for teaching and learning strategies.

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Section: Results and Analysis Of The Data On Jcr Research On Visualiz...mentioning

confidence: 99%

Augmented Reality, a Review of a Way to Represent and Manipulate 3D Chemical Structures

Fombona‐Pascual

Cadavieco

Vicente

2022

J. Chem. Inf. Model.

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“…Although it is easier to evaluate the effectiveness of the VR training by checking the learning of the players using conventional assessment methods, assessment of trainees through external assessment such as the paper-andpencil format is only efficient for measuring some simple outcomes such as declarative knowledge but may not be effective to measure the development of complex skills (e.g., problem-solving, teamwork and collaboration, etc.) (Garcia Fracaro et al, 2021).…”

Section: What Assessment Techniques Were Used To Evaluate the Outcome...mentioning

confidence: 99%

VR-based health and safety training in various high-risk engineering industries: a literature review

Toyoda

Abegão

Glassey

2022

Int J Educ Technol High Educ

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This article provides a critical review of the current studies in VR-based health and safety training, assessment techniques, training evaluation, and its potential to improve the training evaluation outcomes in various high-risk engineering industries. The results of this analysis indicate the breadth of VR-based applications in training users on a combination of topics including risk assessment, machinery, and/or process operation in various industries. Data showed that the use of fully immersive VR increased significantly due to the improvements in hardware, display resolution, and affordability. Most of the articles used external assessment to measure the changes in the satisfaction and the declarative knowledge of trainees as these are easier to implement, while some articles started to implement internal assessment that provides an automated assessment capable of measuring complex skills. The results of the study also suggest that it has the potential to improve the training evaluation outcomes compared to traditional training methods. The findings from this study help practitioners and safety managers by providing a training design framework that may be adopted to optimise the condition of a VR-based training.

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“…Their study showed that operators e trained using VR performed 50% better in fault diagnosis than those trained with conventional slide-supported presentations (Colombo et al 2014). Moreover, Garcia Fracaro et al (2021) are recreating the step-by-step procedure on how to use various equipment and how to respond to incidents in n-butyllithium (n-BuLi) production process.…”

Section: Virtual Reality In Chemical Industrymentioning

confidence: 99%

Drivers of immersive virtual reality adoption intention: a multi-group analysis in chemical industry settings

et al. 2021

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The present study uses the modified Unified Theory of Acceptance and Use of Technology 2 to examine the effect of factors such as performance expectancy (PE), effort expectancy (EE), social influence (SI), and hedonic motivation (HM) that may motivate operators and employees to adopt IVR-based technology into their training. Results of a multi-group analysis based on nationality, prior IVR experience, and/or length of work experience, to analyse the potential similarities and/or differences in perception and acceptance towards using IVR-based technology are also presented. The quantitative research data were gathered using an online questionnaire from 438 chemical operators and/or employees who either speak German, French, or English. Partial least squares structural equation modelling and multi-group analysis based on SmartPLS™ version 3 were used to carry out the path and multi-group analyses. The results show that the behavioural intention (BI) towards adoption of IVR was influenced by PE, EE, and HM for all abovementioned subpopulation. However, the relationship of SI to BI was not supported for respondents with prior IVR experience and for respondents coming from Western region. Although Henseler’s-based multi-group PLS analysis reveals that there was no significant difference between the group comparisons, it is still important to take into account these socio-demographic factors as there are definite group differences in terms of the ranking order of each construct for the IVR adoption intentions among each subpopulation. The implications and future directions were discussed.

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Towards design guidelines for virtual reality training for the chemical industry

Cited by 65 publications

References 67 publications

Augmented Reality, a Review of a Way to Represent and Manipulate 3D Chemical Structures

Augmented Reality, a Review of a Way to Represent and Manipulate 3D Chemical Structures

VR-based health and safety training in various high-risk engineering industries: a literature review

Drivers of immersive virtual reality adoption intention: a multi-group analysis in chemical industry settings

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