A systematic exploration of collaborative immersive systems for sense-making in STEM.

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Title: A systematic exploration of collaborative immersive systems for sense-making in STEM.
Authors: Syiem, Brandon V., Türkay, Selen
Source: Behaviour & Information Technology. Aug2025, Vol. 44 Issue 13, p3318-3347. 30p.
Subjects: Interdisciplinary education, Interprofessional relations, Research funding, Evidence gaps, Decision making, Descriptive statistics, Computer science, Virtual reality, Systematic reviews, Thematic analysis, Metadata, Information science, Learning strategies, Augmented reality, User interfaces, Time
Abstract: Scientific sense-making in STEM fields is a complex, yet essential activity, that greatly benefits from collaborations. However, challenges associated with collaboration, such as the geographic separation of experts, access to specialised equipment, and meaningful data representation, often hinder this process. Solutions to collaborative challenges have been extensively explored in CSCW and HCI literature. Among such solutions, immersive systems offer novel data visualisations, interactions, and representations that can support collaborative sense-making in STEM fields. Recognising the increasing interest from HCI researchers on the intersection of collaboration and immersive systems, we conduct a systematic review to answer pertinent questions regarding the research landscape, the design and implementation of collaborative immersive systems for STEM sense-making. We find that current research leans towards synchronous collaborations, AR technology, and sense-making for learning in science domains. We further discuss prevalent trends and considerations observed in our findings, to inform future research directions. [ABSTRACT FROM AUTHOR]
Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd 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.)
Database: Psychology and Behavioral Sciences Collection
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  Data: A systematic exploration of collaborative immersive systems for sense-making in STEM.
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  Data: <searchLink fieldCode="AR" term="%22Syiem%2C+Brandon+V%2E%22">Syiem, Brandon V.</searchLink><br /><searchLink fieldCode="AR" term="%22Türkay%2C+Selen%22">Türkay, Selen</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Behaviour+%26+Information+Technology%22">Behaviour & Information Technology</searchLink>. Aug2025, Vol. 44 Issue 13, p3318-3347. 30p.
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  Data: <searchLink fieldCode="DE" term="%22Interdisciplinary+education%22">Interdisciplinary education</searchLink><br /><searchLink fieldCode="DE" term="%22Interprofessional+relations%22">Interprofessional relations</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Evidence+gaps%22">Evidence gaps</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+science%22">Computer science</searchLink><br /><searchLink fieldCode="DE" term="%22Virtual+reality%22">Virtual reality</searchLink><br /><searchLink fieldCode="DE" term="%22Systematic+reviews%22">Systematic reviews</searchLink><br /><searchLink fieldCode="DE" term="%22Thematic+analysis%22">Thematic analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Metadata%22">Metadata</searchLink><br /><searchLink fieldCode="DE" term="%22Information+science%22">Information science</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+strategies%22">Learning strategies</searchLink><br /><searchLink fieldCode="DE" term="%22Augmented+reality%22">Augmented reality</searchLink><br /><searchLink fieldCode="DE" term="%22User+interfaces%22">User interfaces</searchLink><br /><searchLink fieldCode="DE" term="%22Time%22">Time</searchLink>
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  Data: Scientific sense-making in STEM fields is a complex, yet essential activity, that greatly benefits from collaborations. However, challenges associated with collaboration, such as the geographic separation of experts, access to specialised equipment, and meaningful data representation, often hinder this process. Solutions to collaborative challenges have been extensively explored in CSCW and HCI literature. Among such solutions, immersive systems offer novel data visualisations, interactions, and representations that can support collaborative sense-making in STEM fields. Recognising the increasing interest from HCI researchers on the intersection of collaboration and immersive systems, we conduct a systematic review to answer pertinent questions regarding the research landscape, the design and implementation of collaborative immersive systems for STEM sense-making. We find that current research leans towards synchronous collaborations, AR technology, and sense-making for learning in science domains. We further discuss prevalent trends and considerations observed in our findings, to inform future research directions. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd 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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        Value: 10.1080/0144929X.2024.2441963
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        Text: English
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      – SubjectFull: Interdisciplinary education
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      – SubjectFull: Interprofessional relations
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      – SubjectFull: Research funding
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      – SubjectFull: Evidence gaps
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      – SubjectFull: Decision making
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      – SubjectFull: Descriptive statistics
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      – SubjectFull: Virtual reality
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      – SubjectFull: Systematic reviews
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      – SubjectFull: Metadata
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      – SubjectFull: Information science
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      – SubjectFull: Augmented reality
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      – SubjectFull: User interfaces
        Type: general
      – SubjectFull: Time
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      – TitleFull: A systematic exploration of collaborative immersive systems for sense-making in STEM.
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              Text: Aug2025
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