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A Study on the AI Quality Process Factors Through Internal Correlation Analysis Of Chatbot Applications

  • Journal of Software Assessment and Valuation
  • Abbr : JSAV
  • 2024, 20(2), pp.67-73
  • Publisher : Korea Software Assessment and Valuation Society
  • Research Area : Engineering > Computer Science
  • Received : June 5, 2024
  • Accepted : June 20, 2024
  • Published : June 30, 2024

choi jaejun 1

1한양여자대학교

Accredited

ABSTRACT

This study identified factors that affect the quality and process of AI chatbot service from the user's perspective after it has been developed to increase the continuous satisfaction of application services using AI chatbot. The factors related to satisfaction and quality items were analyzed through the response data of the developed chatbot agent developer and the users of the linked service, and correlation analysis was conducted with the satisfaction of the AI chatbot. According to the research results, the satisfaction of AI chatbot can be checked by analyzing the correlation of factors in the response data. These correlation factors can be used to identify the quality process along with the characteristics of the AI chatbot. Through this correlation analysis, we confirmed the need for a foundation for continuous quality improvement through the learning ability of AI. itself. As a result of this study we analyzed the factors between chatbot agent developers and users, and derived an AI quality process through continuous reinforcement learning, which has implications for continuous improvement operations.

Citation status

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