<div class="csl-bib-body">
<div class="csl-entry">Ceneda, D., Collins, C., El-Assady, M., Miksch, S., Tominski, C., & Arleo, A. (2023, October 26). <i>A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics</i> [Conference Presentation]. IEEE VIS 2023, Melbourne, Australia. http://hdl.handle.net/20.500.12708/190245</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/190245
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dc.description.abstract
Guidance can support users during the exploration and analysis of complex data. Previous research focused on characterizing the theoretical aspects of guidance in visual analytics and implementing guidance in different scenarios. However, the evaluation of guidance-enhanced visual analytics solutions remains an open research question. We tackle this question by introducing and validating a practical evaluation methodology for guidance in visual analytics. We identify eight quality criteria to be fulfilled and collect expert feedback on their validity. To facilitate actual evaluation studies, we derive two sets of heuristics. The first set targets heuristic evaluations conducted by expert evaluators. The second set facilitates end-user studies where participants actually use a guidance-enhanced system. By following such a dual approach, the different quality criteria of guidance can be examined from two different perspectives, enhancing the overall value of evaluation studies. To test the practical utility of our methodology, we employ it in two studies to gain insight into the quality of two guidance-enhanced visual analytics solutions, one being a work-in-progress research prototype, and the other being a publicly available visualization recommender system. Based on these two evaluations, we derive good practices for conducting evaluations of guidance in visual analytics and identify pitfalls to be avoided during such studies.
en
dc.description.sponsorship
WWTF Wiener Wissenschafts-, Forschu und Technologiefonds
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dc.description.sponsorship
FFG - Österr. Forschungsförderungs- gesellschaft mbH
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dc.language.iso
en
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dc.subject
Guidance
en
dc.subject
Heuristics
en
dc.subject
Visual Analytics
en
dc.subject
Evaluation
en
dc.title
A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics
en
dc.type
Presentation
en
dc.type
Vortrag
de
dc.contributor.affiliation
University of Rostock, Germany
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dc.relation.grantno
ICT19-47
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dc.relation.grantno
880883
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dc.type.category
Conference Presentation
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tuw.project.title
Guidance-Enriched Visual Analytics for Temporal Data
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tuw.project.title
Domain-adaptive Remote sensing Image Analysis with Human-in-the-loop
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tuw.researchTopic.id
I5
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tuw.researchTopic.name
Visual Computing and Human-Centered Technology
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E193-07 - Forschungsbereich Visual Analytics
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tuw.author.orcid
0000-0003-1198-567X
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tuw.author.orcid
0000-0001-8526-2613
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tuw.author.orcid
0000-0003-4427-5703
-
tuw.author.orcid
0000-0001-7704-355X
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tuw.event.name
IEEE VIS 2023
en
tuw.event.startdate
22-10-2023
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tuw.event.enddate
27-10-2023
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Melbourne
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tuw.event.country
AU
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tuw.event.presenter
Arleo, Alessio
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tuw.event.track
Multi Track
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wb.sciencebranch
Informatik
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.value
100
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item.languageiso639-1
en
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item.openairetype
conference paper not in proceedings
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item.grantfulltext
none
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item.fulltext
no Fulltext
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item.cerifentitytype
Publications
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item.openairecristype
http://purl.org/coar/resource_type/c_18cp
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crisitem.author.dept
E193-07 - Forschungsbereich Visual Analytics
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crisitem.author.dept
University of Ontario Institute of Technology
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crisitem.author.dept
ETH Zurich
-
crisitem.author.dept
E193-07 - Forschungsbereich Visual Analytics
-
crisitem.author.dept
University of Rostock
-
crisitem.author.dept
E193-07 - Forschungsbereich Visual Analytics
-
crisitem.author.orcid
0000-0003-1198-567X
-
crisitem.author.orcid
0000-0001-8526-2613
-
crisitem.author.orcid
0000-0003-4427-5703
-
crisitem.author.orcid
0000-0001-7704-355X
-
crisitem.author.orcid
0000-0003-2008-3651
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crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
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crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
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crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
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crisitem.project.funder
WWTF Wiener Wissenschafts-, Forschu und Technologiefonds
-
crisitem.project.funder
FFG - Österr. Forschungsförderungs- gesellschaft mbH
