| Field |
Value |
Language |
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dc.contributor.author |
Errey, N
https://orcid.org/0000-0001-5913-1740
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dc.contributor.author |
Zowghi, D
https://orcid.org/0000-0002-6051-0155
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dc.contributor.author |
Leong, TW |
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dc.contributor.author |
Wu, Y |
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dc.contributor.author |
Yuan, X |
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dc.contributor.author |
Huang, W |
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dc.contributor.author |
Liang, CJ |
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dc.date.accessioned |
2025-04-02T22:34:29Z |
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dc.date.available |
2025-04-02T22:34:29Z |
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dc.identifier.citation |
JOURNAL OF VISUALIZATION |
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dc.identifier.issn |
1343-8875 |
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dc.identifier.issn |
1875-8975 |
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dc.identifier.uri |
http://hdl.handle.net/10453/186527
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dc.description.abstract |
<jats:title>Abstract</jats:title>
<jats:p>Narrative visualization integrates data visualization and narrative techniques to convey a compelling story. Narrative visualization is notoriously difficult to evaluate. One solution is heuristic evaluation, using a domain-specific set of heuristics. This paper validates a set of heuristics proposed specifically for evaluating narrative visualization. We conducted studies with experienced narrative visualization practitioners in both summative and formative settings. We found that the set of heuristics showed promise in a summative setting, where similar responses evidenced that the set of heuristics could provide reliable evaluation metrics. Furthermore, in a formative setting, implementing the set of heuristics was reported to be useful in the design process; however, due to their limited focus, we recommend that it be implemented in conjunction with other evaluation guidelines.</jats:p>
<jats:p>
<jats:bold>Graphical abstract</jats:bold>
</jats:p> |
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dc.language |
English |
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dc.publisher |
SPRINGER |
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dc.relation.ispartof |
JOURNAL OF VISUALIZATION |
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|
dc.relation.isbasedon |
10.1007/s12650-025-01051-y |
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dc.rights |
info:eu-repo/semantics/openAccess |
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dc.subject |
0801 Artificial Intelligence and Image Processing, 0802 Computation Theory and Mathematics, 1702 Cognitive Sciences |
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dc.subject.classification |
Fluids & Plasmas |
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dc.subject.classification |
4608 Human-centred computing |
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dc.title |
Heuristics for evaluating narrative visualization: a validation study |
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dc.type |
Journal Article |
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utslib.for |
0801 Artificial Intelligence and Image Processing |
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utslib.for |
0802 Computation Theory and Mathematics |
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utslib.for |
1702 Cognitive Sciences |
|
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pubs.organisational-group |
University of Technology Sydney |
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pubs.organisational-group |
University of Technology Sydney/Faculty of Engineering and Information Technology |
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pubs.organisational-group |
University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science |
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pubs.organisational-group |
University of Technology Sydney/UTS Groups |
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pubs.organisational-group |
University of Technology Sydney/UTS Groups/The Trustworthy Digital Society |
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utslib.copyright.status |
open_access |
* |
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dc.rights.license |
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ |
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dc.date.updated |
2025-04-02T22:34:28Z |
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pubs.publication-status |
Published online |
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