Evaluating Alternative Input Techniques for Building and Construction VR Training

2018 ◽  
Author(s):  
David Dean ◽  
Joe Millward ◽  
Liam Mulligan ◽  
Ibraheem Saleh ◽  
Christopher Wise ◽  
...  
Keyword(s):  
Vr Training ◽  
Input Techniques

What are the risks of Virtual Reality data? Learning Analytics, Algorithmic Bias and a Fantasy of Perfect Data

2021 ◽  
pp. 146144482110127
Author(s):  
Marcus Carter ◽  
Ben Egliston
Keyword(s):  
Virtual Reality ◽  
Learning Process ◽  
Learning Analytics ◽  
Soft Skills ◽  
Education Technology ◽  
Skills Training ◽  
Emerging Technology ◽  
Critical Issues ◽  
Vr Training ◽  
Algorithmic Bias

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.

scholarly journals Augmenting Around-Device Interaction by Geomagnetic Field Built-in Sensor Utilization

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3087
Author(s):  
Sandi Ljubic ◽  
Franko Hržić ◽  
Alen Salkanovic ◽  
Ivan Štajduhar
Keyword(s):  
Magnetic Field ◽  
Neural Networks ◽  
Curve Fitting ◽  
Absolute Error ◽  
Interaction Space ◽  
Text Entry ◽  
Proof Of Concept ◽  
Field Sensor ◽  
Device Interaction ◽  
Input Techniques

In this paper, we investigate the possibilities for augmenting interaction around the mobile device, with the aim of enabling input techniques that do not rely on typical touch-based gestures. The presented research focuses on utilizing a built-in magnetic field sensor, whose readouts are intentionally affected by moving a strong permanent magnet around a smartphone device. Different approaches for supporting magnet-based Around-Device Interaction are applied, including magnetic field fingerprinting, curve-fitting modeling, and machine learning. We implemented the corresponding proof-of-concept applications that incorporate magnet-based interaction. Namely, text entry is achieved by discrete positioning of the magnet within a keyboard mockup, and free-move pointing is enabled by monitoring the magnet’s continuous movement in real-time. The related solutions successfully expand both the interaction language and the interaction space in front of the device without altering its hardware or involving sophisticated peripherals. A controlled experiment was conducted to evaluate the provided text entry method initially. The obtained results were promising (text entry speed of nine words per minute) and served as a motivation for implementing new interaction modalities. The use of neural networks has shown to be a better approach than curve fitting to support free-move pointing. We demonstrate how neural networks with a very small number of input parameters can be used to provide highly usable pointing with an acceptable level of error (mean absolute error of 3 mm for pointer position on the smartphone display).

Delivering Critical Stimuli for Decision Making in VR Training: Evaluation Study of a Firefighter Training Scenario

2020 ◽  
pp. 1-10
Author(s):  
Pedro Monteiro ◽  
Miguel Melo ◽  
Antonio Valente ◽  
Jose Vasconcelos-Raposo ◽  
Maximino Bessa
Keyword(s):  
Decision Making ◽  
Training Evaluation ◽  
Evaluation Study ◽  
Vr Training

scholarly journals Design of Evaluation Areas Based on Type of Mobile-Based Virtual Reality Training Content

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Mi Kyoung Jin ◽  
Hui Jeong Yun ◽  
Hye Sun Lee
Keyword(s):  
Virtual Reality ◽  
Mobile Environments ◽  
Evaluation Tool ◽  
Content Type ◽  
Content Quality ◽  
Marked Variability ◽  
Vr Training ◽  
The Media ◽  
Procedure Learning ◽  
Content Design

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.

scholarly journals Semantic Representation of Domain Knowledge for Professional VR Training

2021 ◽  
pp. 139-150
Author(s):  
Jakub Flotyński ◽  
Paweł Sobociński ◽  
Sergiusz Strykowski ◽  
Dominik Strugała ◽  
Paweł Buń ◽  
...  
Keyword(s):  
Knowledge Representation ◽  
Domain Knowledge ◽  
Professional Training ◽  
Semantic Representation ◽  
Essential Element ◽  
Domain Experts ◽  
Training Systems ◽  
Web Standards ◽  
Domain Specific Knowledge ◽  
Vr Training

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.

scholarly journals Virtual Reality Training Applications in Industry - Towards a User-friendly Application Design

2021 ◽  
pp. 59-80
Author(s):  
Benjamin Knoke ◽  
◽  
Moritz Quandt ◽  
Michael Freitag ◽  
Klaus-Dieter Thoben
Keyword(s):  
Virtual Reality ◽  
Technology Acceptance ◽  
User Interfaces ◽  
Interface Design ◽  
Design Guidelines ◽  
Electrical Safety ◽  
Industrial Training ◽  
Current State ◽  
Vr Training ◽  
User Friendly

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.

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