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A Study on the AI Maturity Model for Chatbot Application Based on Reinforcement Learning

  • Journal of Software Assessment and Valuation
  • Abbr : JSAV
  • 2022, 18(2), pp.163-169
  • DOI : 10.29056/jsav.2022.12.16
  • Publisher : Korea Software Assessment and Valuation Society
  • Research Area : Engineering > Computer Science
  • Received : November 25, 2022
  • Accepted : December 20, 2022
  • Published : December 31, 2022

Jae-jun Choi 1

1한양여자대학교

Accredited

ABSTRACT

This study aims to increase the continuous use of services using AI chatbot application by identifying factors that affect the satisfaction and quality of developed systems on AI chatbot application that focused on the user. Through the data of actual chatbot agent developers and webpage users, it was confirmed which factors related to satisfaction and quality items affect the usability of AI chatbot application. According to the research results, the use of AI chatbot application shows a big difference depending on the level of satisfaction with accurate response data. In addition, through these response data, it was confirmed that a foundation for continuous quality improvement through the learning ability of AI itself is needed. As a result of this study, a staged maturity model was applied, and it is meaningful to improve and operate continuous reinforcement learning as AI chatbot application that focused on the user.

Citation status

* References for papers published after 2022 are currently being built.