Evaluating the Effects of Realistic Communication Disruptions in VR Training for Aerial Firefighting

Author(s):  
Rory M.S. Clifford ◽  
Simon Hoermann ◽  
Nicolas Marcadet ◽  
Hamish Oliver ◽  
Mark Billinghurst ◽  
...  
2021 ◽  
pp. 146144482110127
Author(s):  
Marcus Carter ◽  
Ben Egliston

Virtual reality (VR) is an emerging technology with the potential to extract significantly more data about learners and the learning process. In this article, we present an analysis of how VR education technology companies frame, use and analyse this data. We found both an expansion and acceleration of what data are being collected about learners and how these data are being mobilised in potentially discriminatory and problematic ways. Beyond providing evidence for how VR represents an intensification of the datafication of education, we discuss three interrelated critical issues that are specific to VR: the fantasy that VR data is ‘perfect’, the datafication of soft-skills training, and the commercialisation and commodification of VR data. In the context of the issues identified, we caution the unregulated and uncritical application of learning analytics to the data that are collected from VR training.


Author(s):  
Pedro Monteiro ◽  
Miguel Melo ◽  
Antonio Valente ◽  
Jose Vasconcelos-Raposo ◽  
Maximino Bessa

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Mi Kyoung Jin ◽  
Hui Jeong Yun ◽  
Hye Sun Lee

In the field of technology education, virtual reality (VR) training has received significant attention in terms of its efficacy in use. Given its many advantages, there is a specific need to emphasize concrete measures for the implementation of VR training in the field of tech education. VR training based on mobile environments has been touted as a means of not only enhancing presence, flow, and learning authenticity, but also of minimizing spatial and temporal constraints. The present study has developed an evaluation tool for VR training contents, including those based on mobile environments. After categorizing VR training contents in the field of tech education into structure comprehension type, procedure learning type, and equipment experiment type contents, we constructed items for each evaluation area. The considered areas included learning, media, and content quality. By conducting Delphi surveys with a panel of experts, we confirmed that the derived evaluation items differed in number across different types of content. Under the learning area, satisfaction was found to be adequate for all content types. Items such as flow, interactivity, and learning effects were found to be adequate for procedure learning and equipment experiment type contents. The media area indicated marked variability in item adequacy depending on the content type. Usability was found to be adequate only for procedure learning type content. For equipment experiment type content, items such as presence, usability, and manipulability were all found to be adequate. All evaluation items under the content design area were found to be adequate across all content types. Thus, regardless of the type of content, it is necessary to fulfil the basic elements within the content design area in order to establish the efficacy of VR training as educational content in the field of tech education.


2021 ◽  
pp. 139-150
Author(s):  
Jakub Flotyński ◽  
Paweł Sobociński ◽  
Sergiusz Strykowski ◽  
Dominik Strugała ◽  
Paweł Buń ◽  
...  

Domain-specific knowledge representation is an essential element of efficient management of professional training. Formal and powerful knowledge representation for training systems can be built upon the semantic web standards, which enable reasoning and complex queries against the content. Virtual reality training is currently used in multiple domains, in particular, if the activities are potentially dangerous for the trainees or require advanced skills or expensive equipment. However, the available methods and tools for creating VR training systems do not use knowledge representation. Therefore, creation, modification and management of training scenarios is problematic for domain experts without expertise in programming and computer graphics. In this paper, we propose an approach to creating semantic virtual training scenarios, in which users’ activities, mistakes as well as equipment and its possible errors are represented using domain knowledge understandable to domain experts. We have verified the approach by developing a user-friendly editor of VR training scenarios for electrical operators of high-voltage installations.


2021 ◽  
pp. 59-80
Author(s):  
Benjamin Knoke ◽  
◽  
Moritz Quandt ◽  
Michael Freitag ◽  
Klaus-Dieter Thoben

The purpose of this research is to aggregate and discuss the validity of challenges and design guidelines regarding industrial Virtual Reality (VR) training applications. Although VR has seen significant advancements in the last 20 years, the technology still faces multiple research challenges. The challenges towards industrial VR applications are imposed by a limited technological maturity and the need to achieve industrial stakeholders' technology acceptance. Technology acceptance is closely connected with the consideration of individual user requirements for user interfaces in virtual environments. This paper analyses the current state-of-the-art in industrial VR applications and provides a structured overview of the existing challenges and applicable guidelines for user interface design, such as ISO 9241-110. The validity of the identified challenges and guidelines is discussed against an industrial training scenario on electrical safety during maintenance tasks.


2021 ◽  
Author(s):  
Hyun Sik Moon ◽  
Hyeon Jeong Yoon ◽  
Sang Woo Park ◽  
Chae Yeon Kim ◽  
Mu Seok Jeong ◽  
...  

Abstract Purpose: To study the usefulness of virtual reality (VR) based training for diagnosing strabismusMethods: Fourteen ophthalmology residents performed at least 30 VR training sessions to diagnose esotropia and exotropia. Examinations of real patients with esotropia or exotropia before and after the VR training were video-recorded and presented to a strabismus expert to assess accuracy and performance scores for measuring the deviation angle and diagnosing strabismus with anonymization. A feedback survey regarding the usefulness and ease of use of the VR application was conducted for participants.Results: The mean age of 14 ophthalmology residents, including 10 men and 4 women, was 29.7 years. Before VR training, participants showed a mean accuracy score of 14.50 ± 5.45 and performance score of 9.64 ± 4.67 for measuring the deviation angle and diagnosing strabismus in real patients with strabismus. After VR training, they showed a significantly improved accuracy score of 22.14 ± 4.37 (p = 0.012) and performance score of 15.50 ± 1.99 (p = 0.011). According to the survey, most participants agreed on the usefulness of VR application.Conclusions: This study suggests that VR based training improves ophthalmology residents’ clinical diagnostic skills for strabismus in a short period.


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