Location
Hilton Hawaiian Village, Honolulu, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2024 12:00 AM
End Date
6-1-2024 12:00 AM
Description
Inconsistency handling in declarative process models (DPMs) has been of increased interest as even a single contradiction within a constraint set makes the entire DPM unsatisfiable. To develop interactive inconsistency resolution and prevention approaches, humans must be able to identify and understand the problem at hand. Therefore, we aim to gather first insights into the cognitive effects of inconsistency characteristics on understanding inconsistencies in DPMs by conducting an exploratory study. Our results show that participants had notable difficulties with understanding inconsistencies, which we could trace back to several inconsistency characteristics, such as combinations of interrelated constraints. Thus, we identified a strong need for the development of interactive and visual decision support technologies to improve inconsistency understanding in DPMs.
Recommended Citation
Nagel, Sabine and Delfmann, Patrick, "Exploring Cognitive Effects of Inconsistency Characteristics on Understanding Inconsistencies in Declarative Process Models" (2024). Hawaii International Conference on System Sciences 2024 (HICSS-57). 5.
https://aisel.aisnet.org/hicss-57/os/business_process/5
Exploring Cognitive Effects of Inconsistency Characteristics on Understanding Inconsistencies in Declarative Process Models
Hilton Hawaiian Village, Honolulu, Hawaii
Inconsistency handling in declarative process models (DPMs) has been of increased interest as even a single contradiction within a constraint set makes the entire DPM unsatisfiable. To develop interactive inconsistency resolution and prevention approaches, humans must be able to identify and understand the problem at hand. Therefore, we aim to gather first insights into the cognitive effects of inconsistency characteristics on understanding inconsistencies in DPMs by conducting an exploratory study. Our results show that participants had notable difficulties with understanding inconsistencies, which we could trace back to several inconsistency characteristics, such as combinations of interrelated constraints. Thus, we identified a strong need for the development of interactive and visual decision support technologies to improve inconsistency understanding in DPMs.
https://aisel.aisnet.org/hicss-57/os/business_process/5