The following publications have been published in the special issue New Review of Hypermedia and Multimedia:
Viki LibraRy: Collaborative Hypertext Browsing and Navigation in Virtual Reality
2024.
Viki LibraRy: Collaborative Hypertext Browsing and Navigation
in Virtual Reality. New Review of Hypermedia and Multimedia, 0(0):1–31.
BibTeX
@article{Boenisch:et:al:2024:b,
author = {B\"{o}nisch, Kevin and Mehler, Alexander and Babbili, Shaduan
and Heinrich, Yannick and Stephan, Philipp and Abrami, Giuseppe},
abstract = {We present Viki LibraRy, a dynamically built library in virtual
reality (VR) designed to visualize 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)},
title = {{Viki LibraRy: Collaborative Hypertext Browsing and Navigation
in Virtual Reality}},
journal = {New Review of Hypermedia and Multimedia},
volume = {0},
number = {0},
pages = {1--31},
year = {2024},
publisher = {Taylor \& Francis},
doi = {10.1080/13614568.2024.2383581},
url = {https://doi.org/10.1080/13614568.2024.2383581},
eprint = {https://doi.org/10.1080/13614568.2024.2383581}
}Geo-spatial Hypertext in Virtual Reality: Mapping and Navigating Global News Event Spaces
2024.
Geo-spatial hypertext in virtual reality: mapping and navigating
global news event spaces. New Review of Hypermedia and Multimedia, 0(0):1–30.
BibTeX
@article{Schrottenbacher:et:al:2024,
author = {Schrottenbacher, Patrick and Mehler, Alexander and Berg, Theresa
and Hustedt, Jasper and Gagel, Julian and Lüttig, Timo and Abrami, Giuseppe},
title = {Geo-spatial hypertext in virtual reality: mapping and navigating
global news event spaces},
journal = {New Review of Hypermedia and Multimedia},
volume = {0},
number = {0},
pages = {1--30},
year = {2024},
publisher = {Taylor \& Francis},
doi = {10.1080/13614568.2024.2383601},
url = {https://doi.org/10.1080/13614568.2024.2383601},
eprint = {https://doi.org/10.1080/13614568.2024.2383601},
abstract = {Every day, a myriad of events take place that are documented and
shared online through news articles from a variety of sources.
As a result, as users navigate the Web, the volume of data can
lead to information overload, making it difficult to find specific
details about an event. We present News in Time and Space (NiTS)
to address this issue: NiTS is a fully immersive system integrated
into Va.Si.Li-Lab that organises textual information in a geospatial
hypertext system in virtual reality. With NiTS, users can visualise,
filter and interact with information currently based on GDELT
on a virtual globe providing document networks to analyse global
events and trends. The article describes NiTS, its event semantics
and architecture. It evaluates NiTS in comparison to a classic
search engine website, extended by NiTSs information filtering
capabilities to make it comparable. Our comparison with this website
technology, which is directly linked to the user's usage habits,
shows that NiTS enables comparable information exploration even
if the users have little or no experience with VR. That is, we
observe an equivalent search result behaviour, but with the advantage
that VR allows users to get their results with a higher level
of usability without distracting them from their tasks. Through
its integration with Va.Si.Li-Lab, a simulation-based learning
environment, NiTS can be used in simulations of learning processes
aimed at studying critical online reasoning, where Va.Si.Li-Lab
guarantees that this can be done in relation to individual or
groups of learners.}
}