<div class="csl-bib-body">
<div class="csl-entry">Pahr, D., & Di Bartolomeo, S. (2025). <i>Investigating the Task Load of Investigating the Task Load in Visualization Studies</i>. arXiv. https://doi.org/10.48550/arXiv.2509.24643</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/224782
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dc.description.abstract
The NASA task load index (short: NASA-TLX) is a common metric to evaluate the workload of a user in a visualization study. Yet, it is rarely performed as initially intended, as the sources-of-workload evaluation is often omitted for various reasons. We conduct an online survey to investigate the task load of administering different versions of the NASA-TLX in a meta-study using the ReVISit framework. Our results show that it is not the slight increase in experiment time, but rather participants' frustration with the procedure, that contributes to the slight increase in task load when using the full version of the TLX compared to using a shortened version. However, we also show that the full version can shine a different and more faceted light on workload by adding a personal dimension to the data. We propose that a compact version of the sources-of-workload questionnaire can mitigate both time loss and frustration for study participants, while still providing the same data as the original procedure. The online study can be found and interactively explored on this https URL, and the source for the study, as well as the code for our analysis, can be found on this https URL.
en
dc.description.sponsorship
FWF - Österr. Wissenschaftsfonds
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dc.language.iso
en
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dc.subject
NASA-TLX
en
dc.subject
visualization
en
dc.subject
ReVISit framework
en
dc.title
Investigating the Task Load of Investigating the Task Load in Visualization Studies
en
dc.type
Preprint
en
dc.type
Preprint
de
dc.identifier.arxiv
2509.24643
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dc.relation.grantno
ESP 513-N
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tuw.project.title
Simultaneous Multiprojection Graph Visualization
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tuw.researchTopic.id
I1
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tuw.researchTopic.name
Logic and Computation
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E192-01 - Forschungsbereich Algorithms and Complexity
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tuw.publisher.doi
10.48550/arXiv.2509.24643
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dc.description.numberOfPages
21
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tuw.author.orcid
0000-0001-7313-3056
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tuw.publisher.server
arXiv
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wb.sciencebranch
Informatik
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wb.sciencebranch
Mathematik
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.oefos
1010
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wb.sciencebranch.value
80
-
wb.sciencebranch.value
20
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item.openairetype
preprint
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item.openairecristype
http://purl.org/coar/resource_type/c_816b
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item.cerifentitytype
Publications
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item.languageiso639-1
en
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item.grantfulltext
none
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item.fulltext
no Fulltext
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crisitem.author.dept
E193-02 - Forschungsbereich Computer Graphics
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crisitem.author.dept
E192-01 - Forschungsbereich Algorithms and Complexity
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crisitem.author.orcid
0000-0001-7313-3056
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crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology