Designing Visual Decision Making Support with the Help of Eye-tracking

Barbara Weber, Jens Gulden, Andrea Burattin

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Abstract

Data visualizations are helpful tools to cognitively access large amounts of data and make complex relationships in data understandable. This paper shows how results from neuro-physiological measurements, more specifically eye-tracking, can support justified design decisions about improving existing data visualizations for exploring process execution data. This is achieved by gaining insight into how visualizations are used for decision-making. The presented examination is embedded in the domain of process modeling behavior analysis, and the analyses are performed on the background of representative analytical questions from the domain of process model behavior analysis. We present initial findings on one out of three visualization types we have examined, which is the Rhythm-Eye visualization
Original languageEnglish
Title of host publicationProceedings of the Radar tracks at the 18th International Working Conference on Business Process Modeling, Development and Support (BPMDS)
Number of pages8
Publication date2017
Publication statusPublished - 2017
Event18th International Working Conference on Business Process Modeling, Development and Support - Essen, Germany
Duration: 12 Jun 201713 Jun 2017

Conference

Conference18th International Working Conference on Business Process Modeling, Development and Support
CountryGermany
CityEssen
Period12/06/201713/06/2017
SeriesCEUR Workshop Proceedings
Volume1859
ISSN1613-0073

Bibliographical note

http://ceur-ws.org/Vol-1859/

Cite this

Weber, B., Gulden, J., & Burattin, A. (2017). Designing Visual Decision Making Support with the Help of Eye-tracking. In Proceedings of the Radar tracks at the 18th International Working Conference on Business Process Modeling, Development and Support (BPMDS) CEUR Workshop Proceedings, Vol.. 1859