Conversational Process Modeling: Can Generative AI Empower Domain Experts in Creating and Redesigning Process Models?

AI-driven chatbots such as ChatGPT have caused a tremendous hype lately. For BPM applications, several applications for AI-driven chatbots have been identified to be promising to generate business value, including explanation of process mining outcomes and preparation of input data. However, a syste...

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Bibliographic Details
Published inarXiv.org
Main Authors Klievtsova, Nataliia, Janik-Vasily Benzin, Kampik, Timotheus, Mangler, Juergen, Rinderle-Ma, Stefanie
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 18.01.2024
Subjects
Chatbots
Generative artificial intelligence
Literature reviews
Modelling
Taxonomy
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Summary:AI-driven chatbots such as ChatGPT have caused a tremendous hype lately. For BPM applications, several applications for AI-driven chatbots have been identified to be promising to generate business value, including explanation of process mining outcomes and preparation of input data. However, a systematic analysis of chatbots for their support of conversational process modeling as a process-oriented capability is missing. This work aims at closing this gap by providing a systematic analysis of existing chatbots. Application scenarios are identified along the process life cycle. Then a systematic literature review on conversational process modeling is performed, resulting in a taxonomy of application scenarios for conversational process modeling, including paraphrasing and improvement of process descriptions. In addition, this work suggests and applies an evaluation method for the output of AI-driven chatbots with respect to completeness and correctness of the process models. This method consists of a set of KPIs on a test set, a set of prompts for task and control flow extraction, as well as a survey with users. Based on the literature and the evaluation, recommendations for the usage (practical implications) and further development (research directions) of conversational process modeling are derived.
ISSN:2331-8422