Human is a key cost factor intoday’s service- and business-oriented processes. To reduce labor, we propose an approach to convert people driven processes to a chatbot service. Current approaches to create a chatbot service are based on formal representations or dialog based methodologies. Formal representations provide techniques for soundness verification and exception handling, however, do not provide a software methodology that capture steps for developers to build a chatbot service. Dialog based methodologies provide different step-wise approaches to create a chatbot service, however, ignore the formal aspects. To bridge the gap, we propose a novel methodology, Quark, that guides developers in producing a model that is complete and sound. Specifically, Quark takes a business process flow as input and produces a Watson Conversation model. Quark employs the notions of goals and commitments which provide a formal means for completeness and soundness. We present Quark using a change management process scenario.
CITATION STYLE
Kalia, A. K., Telang, P. R., Xiao, J., & Vukovic, M. (2017). Quark: A methodology to transform people-driven processes to chatbot services. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10601 LNCS, pp. 53–61). Springer Verlag. https://doi.org/10.1007/978-3-319-69035-3_4
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