TY - GEN
T1 - Design and evaluation of a user interface concept for prescriptive process monitoring
AU - Kubrak, Kateryna
AU - Milani, Fredrik
AU - Nolte, Alexander
AU - Dumas, Marlon
PY - 2023
Y1 - 2023
N2 - Prescriptive 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.
AB - Prescriptive 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.
KW - Prescriptive Process Monitoring
KW - Process Mining
KW - User Interface
UR - http://www.scopus.com/inward/record.url?scp=85163926680&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-34560-9_21
DO - 10.1007/978-3-031-34560-9_21
M3 - Conference contribution
SN - 9783031345593
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 347
EP - 363
BT - International Conference on Advanced Information Systems Engineering
A2 - Indulska, Marta
A2 - Reinhartz-Berger, Iris
A2 - Cetina, Carlos
A2 - Pastor, Oscar
ER -