Assessment and training of visuospatial cognitive functions in virtual reality: proposal and perspective

Korecko, Stefan; Hudak, Marian; Sobota, Branislav; Marko, Martin; Cimrová, Barbora; Farkaš, Igor; Rosipal, Roman

doi:10.1109/coginfocom.2018.8639958

Cited by 20 publications

(8 citation statements)

References 21 publications

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“…For example, virtual industrial installations, such as the one presented in [35], and distant education, in particular aiming at the current efforts to develop so-called digital intelligence [36] or supporting people with special needs, such as autism spectrum disorder [37]. It is also planned to utilize LIRKIS G-CVE for future versions of the experiments described in [38,39], which focus on an assessment of VR influence on visuospatial cognitive functions [40]. Other applications, already under development, are training of civil engineering personnel, safety training and visualization of data from physical experiments in virtual environments.…”

Section: Discussionmentioning

confidence: 99%

Experimental Performance Evaluation of Enhanced User Interaction Components for Web-Based Collaborative Extended Reality

et al. 2021

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COVID-19-related quarantine measures resulted in a significant increase of interest in online collaboration tools. This includes virtual reality (VR) or, in more general term, extended reality (XR) solutions. Shared XR allows for activities such as presentations, training of personnel or therapy to take place in a virtual space instead of a real one. To make online XR as accessible as possible, a significant effort has been put into the development of solutions that can run directly in web browsers. One of the most recognized solutions is the A-Frame software framework, created by Mozilla VR team and supporting most of the contemporary XR hardware. In addition, an extension called Networked-Aframe allows multiple users to share virtual environments, created using A-Frame, in real time. In this article, we introduce and experimentally evaluate three components that extend the functionality of A-Frame and Networked-Aframe. The first one extends Networked-Aframe with the ability to monitor and control users in a shared virtual scene. The second one implements six degrees of freedom motion tracking for smartphone-based VR headsets. The third one brings hand gesture support to the Microsoft HoloLens holographic computer. The evaluation was performed in a dedicated local network environment with 5, 10, 15 and 20 client computers. Each computer represented one user in a shared virtual scene. Since the experiments were carried out with and without the introduced components, the results presented here can also be regarded as a performance evaluation of A-Frame and Networked-Aframe themselves.

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Section: Discussionmentioning

confidence: 99%

Experimental Performance Evaluation of Enhanced User Interaction Components for Web-Based Collaborative Extended Reality

et al. 2021

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“…Figure 7 shows the tools and their connections required for producing VR training scenarios. S. Korečko et al [22] examine the evaluation of cognitive functions of the visual space and the possibilities of teaching in a virtual environment. The study used cognitive tests, EEG measurements, cognitively stimulating tasks and two VR games in an immersive 3D virtual environment-based CAVE (Cave Automatic Virtual Environment) system.…”

Section: Virtual Reality (Vr)mentioning

confidence: 99%

“…Z. Kvasznicza [25] focuses on more efficient training of asynchronous machines in a 3D VR space and emphasizes that devices and equipment that are difficult and expensive to obtain in physical reality can be produced easily and cost-effectively in a virtual environment. Computer science S. Korečko et al [22] examine the evaluation of cognitive functions of the visual space and the possibilities of teaching in a virtual environment. The study used cognitive tests, EEG measurements, cognitively stimulating tasks and two VR games in an immersive 3D virtual environment-based CAVE (Cave Automatic Virtual Environment) system.…”

Section: Virtual Reality (Vr)mentioning

confidence: 99%

A Review of Human–Computer Interaction and Virtual Reality Research Fields in Cognitive InfoCommunications

Katona

2021

Applied Sciences

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Cognitive infocommunications (CogInfoCom) is a young and evolving discipline that is at the crossroads of information and communication technology (ICT) and cognitive sciences with many promising results. The goal of the field is to provide insights into how human cognitive capabilities can be merged and extended with the cognitive capabilities of the digital devices surrounding us, with the goal of enabling more seamless interactions between humans and artificially cognitive agents. Results in the field have already led to the appearance of numerous CogInfoCom-based technological innovations. For example, the field has led to a better understanding of how humans can learn more effectively, and the development of new kinds of learning environment have followed accordingly. The goal of this paper is to summarize some of the most recent results in CogInfoCom and to introduce important research trends, developments and innovations that play a key role in understanding and supporting the merging of cognitive processes with ICT.

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“…Thus, developers must take several factors into account when designing VEs [ 19 ], and the users should be the main focus during the process [ 20 ]. This is quite important as VR can stimulate cognitive functions, and in turn, visuospatial skills can be enhanced [ 21 , 22 ]. For example, it is possible to affect skills by having various human characteristics, or simply by changing components of VEs, and display devices [ 23 , 24 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

Examining the Results of Virtual Reality-Based Egocentric Distance Estimation Tests Based on Immersion Level

Guzsvinecz

Perge

Szűcs

2023

Sensors

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Depth perception as well as egocentric distance estimation can be trained in virtual spaces, although incorrect estimates can occur in these environments. To understand this phenomenon, a virtual environment with 11 changeable factors was created. Egocentric distance estimation skills of 239 participants were assessed with it in the range [25 cm, 160 cm]. One hundred fifty-seven people used a desktop display and seventy-two the Gear VR. According to the results, these investigated factors can have various effects combined with the two display devices on distance estimation and its time. Overall, desktop display users are more likely to accurately estimate or overestimate distances, and significant overestimations occur at 130 and 160 cm. With the Gear VR, distances in the range [40 cm, 130 cm] are significantly underestimated, while at 25 cm, they are significantly overestimated. Estimation times are significantly decreased with the Gear VR. When developing future virtual environments that require depth perception skills, developers should take these results into account.

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Assessment and training of visuospatial cognitive functions in virtual reality: proposal and perspective

Cited by 20 publications

References 21 publications

Experimental Performance Evaluation of Enhanced User Interaction Components for Web-Based Collaborative Extended Reality

Experimental Performance Evaluation of Enhanced User Interaction Components for Web-Based Collaborative Extended Reality

A Review of Human–Computer Interaction and Virtual Reality Research Fields in Cognitive InfoCommunications

Examining the Results of Virtual Reality-Based Egocentric Distance Estimation Tests Based on Immersion Level

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