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Viki LibraRy: collaborative hypertext browsing and navigation in virtual reality.

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Title: Viki LibraRy: collaborative hypertext browsing and navigation in virtual reality.
Authors: Bönisch, Kevin1 (AUTHOR), Mehler, Alexander1 (AUTHOR) mehler@em.uni-frankfurt.de, Babbili, Shaduan1 (AUTHOR), Heinrich, Yannick1 (AUTHOR), Stephan, Philipp1 (AUTHOR), Abrami, Giuseppe1 (AUTHOR)
Source: New Review of Hypermedia & Multimedia. Mar-Jun2025, Vol. 31 Issue 1/2, p45-75. 31p.
Subjects: Hypertext systems, Digital libraries, Virtual reality, Electronic data processing, Library users
Abstract: We present Viki LibraRy, a dynamically built library in virtual reality (VR) designed to visualise hypertext systems, with an emphasis on collaborative interaction and spatial immersion. Viki LibraRy goes beyond traditional methods of text distribution by providing a platform where users can share, process, and engage with textual information. It operates at the interface of VR, collaborative learning and spatial data processing to make reading tangible and memorable in a spatially mediated way. The article describes the building blocks of Viki LibraRy, its underlying architecture, and several use cases. It evaluates Viki LibraRy in comparison to a conventional web interface for text retrieval and reading. The article shows that Viki LibraRy provides users with spatial references for structuring their recall, so that they can better remember consulted texts and their meta-information (e.g. in terms of subject areas and content categories). [ABSTRACT FROM AUTHOR]
Copyright of New Review of Hypermedia & Multimedia 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: Engineering Source
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  Data: <searchLink fieldCode="JN" term="%22New+Review+of+Hypermedia+%26+Multimedia%22">New Review of Hypermedia & Multimedia</searchLink>. Mar-Jun2025, Vol. 31 Issue 1/2, p45-75. 31p.
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  Data: <searchLink fieldCode="DE" term="%22Hypertext+systems%22">Hypertext systems</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+libraries%22">Digital libraries</searchLink><br /><searchLink fieldCode="DE" term="%22Virtual+reality%22">Virtual reality</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+data+processing%22">Electronic data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Library+users%22">Library users</searchLink>
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  Data: We present Viki LibraRy, a dynamically built library in virtual reality (VR) designed to visualise hypertext systems, with an emphasis on collaborative interaction and spatial immersion. Viki LibraRy goes beyond traditional methods of text distribution by providing a platform where users can share, process, and engage with textual information. It operates at the interface of VR, collaborative learning and spatial data processing to make reading tangible and memorable in a spatially mediated way. The article describes the building blocks of Viki LibraRy, its underlying architecture, and several use cases. It evaluates Viki LibraRy in comparison to a conventional web interface for text retrieval and reading. The article shows that Viki LibraRy provides users with spatial references for structuring their recall, so that they can better remember consulted texts and their meta-information (e.g. in terms of subject areas and content categories). [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of New Review of Hypermedia & Multimedia 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: 10.1080/13614568.2024.2383581
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        Text: English
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      – SubjectFull: Virtual reality
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              Text: Mar-Jun2025
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