Journal
BUSINESS PROCESS MANAGEMENT (BPM 2022)
Volume 13420, Issue -, Pages 57-74Publisher
SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/978-3-031-16103-2_7
Keywords
User behavior mining; UI Log; Data model; Robotic process automation; Task mining
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User interaction (UI) logs are high-resolution event logs that record the low-level activities performed by users during the execution of a task in an information system. However, the lack of standardization makes it challenging to integrate UI logs from different sources and combine them with downstream analytics or automation solutions. This paper proposes a universally applicable reference data model for process-related UI logs and demonstrates its practical applicability in a real-life RPA scenario.
User interaction (UI) logs are high-resolution event logs that record low-level activities performed by a user during the execution of a task in an information system. Each event in a UI log corresponds to a single interaction between the user and the interface, such as clicking a button or entering a string into a text field. UI logs are used for purposes like task mining or robotic process automation (RPA), but each study and tool relies on a different conceptualization and implementation of the elements and attributes that constitute user interactions. This lack of standardization makes it difficult to integrate UI logs from different sources and to combine tools for UI data collection with downstream analytics or automation solutions. To address this, we propose a universally applicable reference data model for process-related UI logs. Based on a review of scientific literature and industry solutions, this model includes the core attributes of UI logs, but remains flexible with regard to the scope, level of abstraction, and case notion. We provide an implementation of the model as an extension to the XES interchange standard for event logs and demonstrate its practical applicability in a real-life RPA scenario.
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