<div class="csl-bib-body">
<div class="csl-entry">Miksch, S. (2021, November 25). <i>Guidance-Enriched Visual Analytics: Challenges and Opportunities</i> [Keynote Presentation]. Center for Data Science (CEDAS), Bergen, Norway. http://hdl.handle.net/20.500.12708/153696</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/153696
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dc.description.abstract
On the one hand, we investigate appropriate, expressive, and effective Visual Analytics concepts and solutions for particular users, their data, and their tasks in mind. On the other hand, we explore the usage and potential of guidance. Guidance aims to support the user while working with Visual Analytics solutions. Guidance assists users with the selection of appropriate visual means and interaction techniques, the utilization of analytical methods, as well as the configuration instantiation of these algorithms with suitable parameter settings and the combinations thereof. After a visualization or Visual Analytics method and parameters are selected, guidance is also needed to explore the data, identify interesting data nuggets and findings, collect and group insights to explore high level hypotheses, and gain new insights and knowledge. In this talk, I will contextualize the different aspects of guidance-enriched Visual Analytics. I will present a framework for guidance designers which comprising requirements, a set of specific phases with quality criteria designers should go through when designing guidance-enriched Visual Analytics. Various examples will illustrate what has been achieved so far and show possible future directions and challenges.
en
dc.language.iso
en
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dc.subject
Visual Analytics
en
dc.subject
Visualization
en
dc.subject
Guidance
en
dc.subject
Time
en
dc.title
Guidance-Enriched Visual Analytics: Challenges and Opportunities
en
dc.type
Presentation
en
dc.type
Vortrag
de
dc.type.category
Keynote Presentation
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tuw.publication.invited
invited
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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
0000-0003-4427-5703
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tuw.event.name
Center for Data Science (CEDAS)
en
tuw.event.startdate
25-11-2021
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tuw.event.enddate
25-11-2021
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tuw.event.online
Online
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tuw.event.type
Event for scientific audience
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tuw.event.place
Bergen
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tuw.event.country
NO
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tuw.event.presenter
Miksch, Silvia
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tuw.presentation.online
Online
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tuw.event.track
Single 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.orcid
0000-0003-4427-5703
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crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
