From analytical purposes to data visualizations: a decision process guided by a conceptual framework and eye tracking
Journal
Software & Systems Modeling
Type
journal article
Date Issued
2020
Author(s)
Abstract (De)
Data visualizations are versatile tools for gaining cognitive access to large amounts of data and for making complex relation-ships in data understandable. This paper proposes a method for assessing data visualizations according to the purposes theyfulfill in domain-specific data analysis settings. We introduce a framework that gets configured for a given analysis domainand allows to choose data visualizations in a methodically justified way, based on analysis questions that address differentaspects of data to be analyzed. Based on the concepts addressed by the analysis questions, the framework provides systematicguidance for determining which data visualizations are able to serve which conceptual analysis interests. In a second step ofthe method, we propose to follow a data-driven approach and to experimentally compare alternative data visualizations fora particular analytical purpose. More specifically, we propose to use eye tracking to support justified decisions about whichof the data visualizations selected with the help of the framework are most suitable for assessing the analysis domain in acognitively efficient way. We demonstrate our approach of how to come from analytical purposes to data visualizations usingthe example domain of Process Modeling Behavior Analysis. The analyses are performed on the background of representativeanalysis questions from this domain.
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
None
Refereed
Yes
Publisher
Springer
Volume
19
Number
3
Start page
531
End page
554
Subject(s)
Eprints ID
257303
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Name
2017_sosym_R2 (1).pdf
Size
2.2 MB
Format
Adobe PDF
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