<div class="csl-bib-body">
<div class="csl-entry">Keskin, M., Qin, T., He, B., Krassanakis, V., & Ledermann, F. (2025). MAP-VERSE: MAP Usability - Validated Empirical Research by Systematic Evaluation. In <i>Proceedings of the 28th AGILE Conference on Geographic Information Science</i>. 28th AGILE Conference on Geographic Information Science, Dresden, Germany. https://doi.org/10.5194/agile-giss-6-30-2025</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/225127
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dc.description.abstract
This paper introduces MAP-VERSE (MAP
Usability - Validated Empirical Research by Systematic
Evaluation), an open metadata repository designed to
address the lack of accessible and consistently reported
datasets in map usability research. Currently, researchers
face challenges in discovering and reusing relevant data
due to the absence of centralized platforms and
standardized reporting practices. This hinders
reproducibility, comparative analyses, and the
development of predictive models for map usability.
MAP-VERSE tackles these challenges by establishing
core metadata dimensions for describing map usability
datasets; defining validity criteria for best practice
datasets to ensure methodological rigor and transparency;
developing a user-friendly search interface for efficient
data discovery; and proposing strategies to encourage
standardized metadata reporting. The repository currently
features curated metadata for nine existing open-access
datasets encompassing various map types, tasks, and
methods. Future work includes expanding the repository,
implementing automated validation, and promoting
standardized reporting practices through templates and
guidelines. MAP-VERSE aims to foster open data sharing
and collaboration, ultimately advancing our
understanding of human-map interaction and improving
map design.
en
dc.language.iso
en
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dc.subject
cartography
en
dc.subject
user research
en
dc.subject
user experiments
en
dc.subject
map usability
en
dc.subject
metadata repository
en
dc.title
MAP-VERSE: MAP Usability - Validated Empirical Research by Systematic Evaluation
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
University of Salzburg, Austria
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dc.contributor.affiliation
Ghent University, Belgium
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dc.contributor.affiliation
Beijing Normal University, China
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dc.contributor.affiliation
University of West Attica, Greece
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
Proceedings of the 28th AGILE Conference on Geographic Information Science
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tuw.peerreviewed
true
-
tuw.book.ispartofseries
AGILE: GIScience Series
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tuw.researchTopic.id
I5
-
tuw.researchTopic.name
Visual Computing and Human-Centered Technology
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E120-06 - Forschungsbereich Kartographie
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tuw.publisher.doi
10.5194/agile-giss-6-30-2025
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dc.description.numberOfPages
9
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tuw.author.orcid
0000-0002-4678-5611
-
tuw.author.orcid
0000-0003-3012-0348
-
tuw.author.orcid
0000-0002-3030-4203
-
tuw.author.orcid
0000-0001-7559-3531
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tuw.event.name
28th AGILE Conference on Geographic Information Science