{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T10:15:37Z","timestamp":1777889737614,"version":"3.51.4"},"reference-count":32,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2024,9,27]],"date-time":"2024-09-27T00:00:00Z","timestamp":1727395200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Future Internet"],"abstract":"<jats:p>This paper presents a comprehensive literature review, focusing on the emerging intersection of chatbot technology and the generation of process models. As an evolving field of study, the integration of interactive chatbots into process model generation represents a promising approach, blending advancements in artificial intelligence in general, and natural language processing in particular, with process management methods. This review systematically examines the existing literature across multiple disciplines, identifying and analyzing studies that touch upon the individual components of this nascent topic: chatbot technology, process model generation, and their synergistic potential. Despite the scarcity of direct research aimed at using chatbots for process model generation, this review synthesizes relevant findings from related domains, such as natural language processing applications in process modeling, and the broader impact of chatbot interfaces in various domains. Through this analysis, we aim to map the current landscape of research, highlight significant gaps, and suggest potential pathways for future investigations. This paper not only aggregates existing knowledge, but also assesses the applicability and implications of current technologies and theories when generating process models with the assistance of interactive chatbots. The outcome is a foundational compendium for researchers and practitioners interested in exploring this innovative intersection, providing a springboard for future research and development in this promising area.<\/jats:p>","DOI":"10.3390\/fi16100353","type":"journal-article","created":{"date-parts":[[2024,9,27]],"date-time":"2024-09-27T11:19:33Z","timestamp":1727435973000},"page":"353","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Generating Process Models by Interacting with Chatbots\u2014A Literature Review"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-4996-3651","authenticated-orcid":false,"given":"Luca Franziska","family":"H\u00f6rner","sequence":"first","affiliation":[{"name":"Institute of Databases and Information Systems, Ulm University, 89081 Ulm, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2536-4153","authenticated-orcid":false,"given":"Manfred","family":"Reichert","sequence":"additional","affiliation":[{"name":"Institute of Databases and Information Systems, Ulm University, 89081 Ulm, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2024,9,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1119","DOI":"10.1080\/17517575.2016.1161238","article-title":"Survey of business process management: Challenges and solutions","volume":"11","author":"Alotaibi","year":"2016","journal-title":"Enterp. Inf. Syst."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Grohs, M., Abb, L., Elsayed, N., and Rehse, J.R. (2024). Large Language Models Can Accomplish Business Process Management Tasks, Springer.","DOI":"10.1007\/978-3-031-50974-2_34"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Dumas, M., Rosa, L.M., Mendling, J., and Reijers, A.H. (2018). Fundamentals of Business Process Management, Springer.","DOI":"10.1007\/978-3-662-56509-4"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"544","DOI":"10.1136\/amiajnl-2011-000464","article-title":"Natural language processing: An introduction","volume":"18","author":"Nadkarni","year":"2011","journal-title":"J. Am. Med Inform. Assoc. JAMIA"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"102274","DOI":"10.1016\/j.lindif.2023.102274","article-title":"ChatGPT for good? 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