Evaluating the Understandability of Hybrid Process Model Representations Using Eye Tracking: First Insights
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- Evaluating the Understandability of Hybrid Process Model Representations Using Eye Tracking
Accepted author manuscript, 373 KB, PDF document
The EcoKnow project strives to promote flexible case management systems in the public administration and empower end-users (i.e., case workers) to make sense of digitized models of the law. For this, a hybrid representation combining the declarative DCR notation with textual annotations depicting the law text and a simulation tool to simulate the execution of single process instances was proposed. This hybrid representation aims to overcome the notorious limitations of existing declarative notations in term of understandability. Using eye tracking, this paper investigates how users engage with the different artifacts of the hybrid representation.
Original language | English |
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Title of host publication | Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers |
Editors | Florian Daniel, Quan Z. Sheng, Hamid Motahari |
Number of pages | 7 |
Publisher | Springer |
Publication date | 2019 |
Pages | 475-481 |
ISBN (Print) | 9783030116408 |
DOIs | |
Publication status | Published - 2019 |
Event | 16th International Conference on Business Process Management, BPM 2018 - Sydney, Australia Duration: 9 Sep 2018 → 14 Sep 2018 |
Conference
Conference | 16th International Conference on Business Process Management, BPM 2018 |
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Land | Australia |
By | Sydney |
Periode | 09/09/2018 → 14/09/2018 |
Series | Lecture Notes in Business Information Processing |
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Volume | 342 |
ISSN | 1865-1348 |
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