<div class="csl-bib-body">
<div class="csl-entry">Waldner, M., Geymayer, T., Schmalstieg, D., & Sedlmair, M. (2021). Linking unstructured evidence to structured observations. <i>Information Visualization</i>, <i>20</i>(1), 47–65. https://doi.org/10.1177/1473871620986249</div>
</div>
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dc.identifier.issn
1473-8716
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/138840
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dc.description.abstract
Many professionals, like journalists, writers, or consultants, need to acquire information from various sources, make sense of this unstructured evidence, structure their observations, and finally create and deliver their product, such as a report or a presentation. In formative interviews, we found that tools allowing structuring of observations are often disconnected from the corresponding evidence. Therefore, we designed a sensemaking environment with a flexible observation graph that visually ties together evidence in unstructured documents with the user's structured knowledge. This is achieved through bi-directional deep links between highlighted document portions and nodes in the observation graph. In a controlled study, we compared users' sensemaking strategies using either the observation graph or a simple text editor on a large display. Results show that the observation graph represents a holistic, compact representation of users' observations, which can be linked to unstructured evidence on demand. In contrast, users taking textual notes required much more display space to spatially organize source documents containing unstructured evidence. This implies that spatial organization is a powerful strategy to structure observations even if the available space is limited.
en
dc.language.iso
en
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dc.publisher
SAGE PUBLICATIONS LTD
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dc.relation.ispartof
Information Visualization
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dc.subject
Computer Vision and Pattern Recognition
en
dc.title
Linking unstructured evidence to structured observations
en
dc.type
Artikel
de
dc.type
Article
en
dc.description.startpage
47
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dc.description.endpage
65
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dc.type.category
Original Research Article
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tuw.container.volume
20
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tuw.container.issue
1
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tuw.journal.peerreviewed
true
-
tuw.peerreviewed
true
-
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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dcterms.isPartOf.title
Information Visualization
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tuw.publication.orgunit
E193-02 - Forschungsbereich Computer Graphics
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tuw.publisher.doi
10.1177/1473871620986249
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dc.identifier.eissn
1473-8724
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dc.description.numberOfPages
19
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tuw.author.orcid
0000-0003-1387-5132
-
tuw.author.orcid
0000-0003-2813-2235
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wb.sci
true
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wb.sciencebranch
Informatik
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wb.sciencebranch.oefos
1020
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wb.facultyfocus
Visual Computing and Human-Centered Technology (VC + HCT)
de
wb.facultyfocus
Visual Computing and Human-Centered Technology (VC + HCT)
en
wb.facultyfocus.faculty
E180
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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_2df8fbb1
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item.languageiso639-1
en
-
item.openairetype
research article
-
item.grantfulltext
restricted
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crisitem.author.dept
E193-02 - Forschungsbereich Computer Graphics
-
crisitem.author.dept
E194-01 - Forschungsbereich Information und Software Engineering
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crisitem.author.orcid
0000-0003-1387-5132
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
-
crisitem.author.parentorg
E194 - Institut für Information Systems Engineering