Effects of Visualization Techniques on Understanding Inconsistencies in Automated Decision-Making

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dc.contributor.authorCorea, Carl
dc.contributor.authorNagel, Sabine
dc.contributor.authorDelfmann, Patrick
dc.date.accessioned2020-01-04T07:10:29Z
dc.date.available2020-01-04T07:10:29Z
dc.date.issued2020-01-07
dc.description.abstractThe automation of business processes and decision-making have received major interest from practice and academia. As automation allows to execute more processes (cases), monitoring automated decision-making is currently evolving into a big data analytics problem for companies. Thus, not only monitoring insights themselves, but also an effective use of such insights become important. In this context, the speed and ability to interpret data is closely related to the visualization of metrics and data. While various approaches for quantitative insights on automated decision-making have been proposed, there is currently no evidence as to how the specific visualization of such metrics helps companies to create more value from their data. In this report, we therefore present the results of an empirical experiment analyzing the cognitive effects of different visualization techniques for quantitative insights on understanding inconsistencies in automated decision-making data.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2020.025
dc.identifier.isbn978-0-9981331-3-3
dc.identifier.urihttp://hdl.handle.net/10125/63764
dc.language.isoeng
dc.relation.ispartofProceedings of the 53rd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBusiness Intelligence and Big Data for Innovative and Sustainable Development of Organizations
dc.subjectcognitive effects
dc.subjectvisualization
dc.subjectworkflow management systems
dc.titleEffects of Visualization Techniques on Understanding Inconsistencies in Automated Decision-Making
dc.typeConference Paper
dc.type.dcmiText

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