Abstract
AbstractPrescriptive process monitoring methods recommend interventions during the execution of a process to maximize its success rate. Current research in this field focuses on algorithms to learn intervention policies that maximize the expected payoff of the interventions under certain statistical assumptions. In contrast, there has been limited attention on how to aid process stakeholders in understanding the outputs of these algorithms. In this research, we set to develop an interface to provide end users with relevant information to guide the decision on where and when to trigger interventions in a process. We draw upon an analysis of existing solutions and a review of the literature to elicit information items for a user interface for prescriptive process monitoring. Thereon, we develop a user interface concept and evaluate it with experts. The evaluation confirms the informational needs covered by the user interface concept. In addition, the evaluation shows that different end-user groups (operational users, tactical managers, and process analysts) can benefit from the information items included in the interface.
Publisher
Springer Nature Switzerland
Reference29 articles.
1. Afolabi, A.O., Toivanen, P.: Improving the design of a recommendation system using evaluation criteria and metrics as a guide. J. Syst. Inf. Technol. 21(3), 304–324 (2019)
2. Bozorgi, Z.D., Kopolov, A., Dumas, M., Rosa, M.L., Polyvyanyy, A.: Prolift: automated discovery of causal treatment rules from event logs (extended abstract). In: ICPM Doctoral Consortium / Demo. CEUR Workshop Proceedings, vol. 3299, pp. 108–112. CEUR-WS.org (2022)
3. Bozorgi, Z.D., Teinemaa, I., Dumas, M., Rosa, M.L., Polyvyanyy, A.: Prescriptive process monitoring for cost-aware cycle time reduction. In: ICPM, pp. 96–103. IEEE (2021)
4. Braun, V., Clarke, V.: Using thematic analysis in psychology. Qualit. Res. Psychol. 3(2), 77–101 (2006)
5. Colceriu, C., Leichtmann, B., Brell-Cokcan, S., Jonas, W., Nitsch, V.: From task analysis to wireframe design: An approach to user-centered design of a GUI for mobile HRI at assembly workplaces. In: RO-MAN, pp. 876–883. IEEE (2022)