인공지능 챗봇 서비스의 만족과 불만족에 관한 연구

A Study on the Satisfaction and Dissatisfaction in AI Chatbot

  • 양창규 (아주대학교 경영대학 e-비즈니스학과)
  • 투고 : 2022.03.08
  • 심사 : 2022.04.27
  • 발행 : 2022.04.30

초록

본 연구는 인공지능 챗봇 서비스의 만족과 불만족에 영향을 미치는 요인을 파악하여 인공지능 챗봇을 활용하여 시장 점유율을 높이고자 하는 기업이 활용할 수 있는 시사점을 제시하고자, ICT서비스의 14개 선호요인을 KANO모델을 통해 분류한 후 어떠한 요인이 인공지능 챗봇의 재사용과 이탈에 미치는지 확인하였다. 연구결과에 따르면 (1) 인공지능 챗봇의 선호요인은 매력적 품질, 필수적 품질, 일원적 품질로 구분되고, (2) 인공지능 챗봇은 각 선호요인의 품질특성에 따라 이용자의 만족과 불만족을 모두 고려한 서비스 전략이 필요하며, (3) 인공지능 챗봇 이용자는 상호작용성을 필수적 품질로 인식하고, 서비스에 대해 불만족하는 경우 적극적인 의견 개진보다는 이탈을 선택한다는 점을 확인하였다. 이 연구결과는 인공지능 챗봇을 활용하여 시장 점유율을 높여가기 원하는 벤처기업은 인공지능 챗봇을 통한 고객과의 소통이 가장 중요하며, 서비스 개선을 위해 고객의 참여를 적극적으로 유도하여야만 한다는 점을 시사한다.

Unlike previous studies on AI chatbot preference that focused mostly on satisfaction, this study considered both satisfaction and dissatisfaction. This study established that (1) AI chatbot preference is driven by attractive, must-be, and one-dimensional qualities, (2) AI chatbot need to develop service strategies by taking into account users' satisfaction and dissatisfaction in accordance with preference drivers, and (3) users view interaction as a requisite and thus, if they are not satisfied with services of a AI chatbot, they don't tend to appeal their opinion and leave the service with AI chatbot. This study emphasizes that a AI chatbot that desires to be a dominant market player must provide differentiated services according to the preference drivers and must continuously encourage user participation in order to improve service quality.

키워드

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