A Study on the RPA Interface Method for Hybrid AI Chatbot Implementation


KIPS Transactions on Software and Data Engineering, Vol. 12, No. 1, pp. 41-50, Jan. 2023
https://doi.org/10.3745/KTSDE.2023.12.1.41,   PDF Download:
Keywords: Hybrid Chatbot, Conversational AI, RPA Interface, Webhook, Hyper Automation
Abstract

Recently, as the Coronavirus disease 2019 (COVID-19) prolongs along with the development of artificial intelligence technology, a non-contact society has become commonplace. Many companies are promoting digital transformation and the activation of artificial intelligence introduction to respond to this which leads to dramatic increase of demand for Chatbot. In addition, a Chatbot has reached the point of processing business transactions from responding simple inquiries. However, it is necessary to develop an API to interface with the legacy system and there are many difficulties in connecting. To solve this, it is becoming important to establish a hybrid Chatbot environment through RPA interface. Recently, the combination of RPA and Chatbot is considered an effective tool for handling many business processes. But, there are many difficulties due to the lack of interface cases and the difficulty in finding a method to development them. This study suggests a method for building a hybrid Chatbot which is an interface Chatbot(Conversational UX) and RPA(Task Automation) from the perspective of hyper-automation based on actual development cases and review of literature review is presented, so that the interface method can be understood and develop more easily. Therefore, there are implications for actively using AI Chatbot for digital transformation.


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Cite this article
[IEEE Style]
C. Jeong, "A Study on the RPA Interface Method for Hybrid AI Chatbot Implementation," KIPS Transactions on Software and Data Engineering, vol. 12, no. 1, pp. 41-50, 2023. DOI: https://doi.org/10.3745/KTSDE.2023.12.1.41.

[ACM Style]
Cheonsu Jeong. 2023. A Study on the RPA Interface Method for Hybrid AI Chatbot Implementation. KIPS Transactions on Software and Data Engineering, 12, 1, (2023), 41-50. DOI: https://doi.org/10.3745/KTSDE.2023.12.1.41.