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Comparative of Desktop-based and Mixed Reality-based Cognitive Test using EEG Analysis.

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Title: Comparative of Desktop-based and Mixed Reality-based Cognitive Test using EEG Analysis.
Authors: Chean Khim Toa1 cheankhim.toa@xmu.edu.my, Kok Swee Sim2 kssim@mmu.edu.my, Shing Chiang Tan3 sctan@mmu.edu.my
Source: IAENG International Journal of Computer Science. Jan2025, Vol. 52 Issue 1, p268-278. 11p.
Subjects: Desktop environments (Computer interfaces), Mixed reality, Cognitive testing, Cognition, Projection screens
Abstract: This study performs an assessment of the use of Mixed Reality (MR) technology in the cognitive field. Previously, most of the studies commonly used desktop-based for cognitive testing. However, this approach is limited to screen projection in two dimensions and requires adequate physical space and a table for performing testing. This incurs the concern of the immersive during the test. The study found that MR, as an immersive tool, could address those concerns. Thus, the experiment in this paper performs the comparison between desktop-based and MR-based environments. This study aims to propose a testing framework that can provide analytical analysis based on the EEG data to demonstrate participant engagement, concentration, and immersion level in different environments. Fifteen students participated in the study, with their EEG data collected during tests in Mixed Reality Visual Colour (MRVC) and Desktop Visual Colour (DVC). Subsequently, the collected EEG data was analyzed using the Cognitive Signal Domain (CSD) method. Analysis of collected data revealed that participants in the MRVC showed higher levels of engagement, concentration, and immersion. This study implies that MR-based testing can be an effective method for eliciting cognitive responses in participants. [ABSTRACT FROM AUTHOR]
Copyright of IAENG International Journal of Computer Science is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Comparative of Desktop-based and Mixed Reality-based Cognitive Test using EEG Analysis.
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  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Chean+Khim+Toa%22">Chean Khim Toa</searchLink><relatesTo>1</relatesTo><i> cheankhim.toa@xmu.edu.my</i><br /><searchLink fieldCode="AR" term="%22Kok+Swee+Sim%22">Kok Swee Sim</searchLink><relatesTo>2</relatesTo><i> kssim@mmu.edu.my</i><br /><searchLink fieldCode="AR" term="%22Shing+Chiang+Tan%22">Shing Chiang Tan</searchLink><relatesTo>3</relatesTo><i> sctan@mmu.edu.my</i>
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  Data: <searchLink fieldCode="JN" term="%22IAENG+International+Journal+of+Computer+Science%22">IAENG International Journal of Computer Science</searchLink>. Jan2025, Vol. 52 Issue 1, p268-278. 11p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Desktop+environments+%28Computer+interfaces%29%22">Desktop environments (Computer interfaces)</searchLink><br /><searchLink fieldCode="DE" term="%22Mixed+reality%22">Mixed reality</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+testing%22">Cognitive testing</searchLink><br /><searchLink fieldCode="DE" term="%22Cognition%22">Cognition</searchLink><br /><searchLink fieldCode="DE" term="%22Projection+screens%22">Projection screens</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study performs an assessment of the use of Mixed Reality (MR) technology in the cognitive field. Previously, most of the studies commonly used desktop-based for cognitive testing. However, this approach is limited to screen projection in two dimensions and requires adequate physical space and a table for performing testing. This incurs the concern of the immersive during the test. The study found that MR, as an immersive tool, could address those concerns. Thus, the experiment in this paper performs the comparison between desktop-based and MR-based environments. This study aims to propose a testing framework that can provide analytical analysis based on the EEG data to demonstrate participant engagement, concentration, and immersion level in different environments. Fifteen students participated in the study, with their EEG data collected during tests in Mixed Reality Visual Colour (MRVC) and Desktop Visual Colour (DVC). Subsequently, the collected EEG data was analyzed using the Cognitive Signal Domain (CSD) method. Analysis of collected data revealed that participants in the MRVC showed higher levels of engagement, concentration, and immersion. This study implies that MR-based testing can be an effective method for eliciting cognitive responses in participants. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IAENG International Journal of Computer Science is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 268
    Subjects:
      – SubjectFull: Desktop environments (Computer interfaces)
        Type: general
      – SubjectFull: Mixed reality
        Type: general
      – SubjectFull: Cognitive testing
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      – SubjectFull: Cognition
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      – SubjectFull: Projection screens
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              M: 01
              Text: Jan2025
              Type: published
              Y: 2025
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