@article{ART002908094},
author={Jae-jun Choi},
title={A Study on the AI Maturity Model for Chatbot Application Based on Reinforcement Learning},
journal={Journal of Software Assessment and Valuation},
issn={2092-8114},
year={2022},
volume={18},
number={2},
pages={163-169},
doi={10.29056/jsav.2022.12.16}
TY - JOUR
AU - Jae-jun Choi
TI - A Study on the AI Maturity Model for Chatbot Application Based on Reinforcement Learning
JO - Journal of Software Assessment and Valuation
PY - 2022
VL - 18
IS - 2
PB - Korea Software Assessment and Valuation Society
SP - 163
EP - 169
SN - 2092-8114
AB - 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.
KW - Chatbot;Agent;AI;Maturity Model;Reinforcement Learning
DO - 10.29056/jsav.2022.12.16
ER -
Jae-jun Choi. (2022). A Study on the AI Maturity Model for Chatbot Application Based on Reinforcement Learning. Journal of Software Assessment and Valuation, 18(2), 163-169.
Jae-jun Choi. 2022, "A Study on the AI Maturity Model for Chatbot Application Based on Reinforcement Learning", Journal of Software Assessment and Valuation, vol.18, no.2 pp.163-169. Available from: doi:10.29056/jsav.2022.12.16
Jae-jun Choi "A Study on the AI Maturity Model for Chatbot Application Based on Reinforcement Learning" Journal of Software Assessment and Valuation 18.2 pp.163-169 (2022) : 163.
Jae-jun Choi. A Study on the AI Maturity Model for Chatbot Application Based on Reinforcement Learning. 2022; 18(2), 163-169. Available from: doi:10.29056/jsav.2022.12.16
Jae-jun Choi. "A Study on the AI Maturity Model for Chatbot Application Based on Reinforcement Learning" Journal of Software Assessment and Valuation 18, no.2 (2022) : 163-169.doi: 10.29056/jsav.2022.12.16
Jae-jun Choi. A Study on the AI Maturity Model for Chatbot Application Based on Reinforcement Learning. Journal of Software Assessment and Valuation, 18(2), 163-169. doi: 10.29056/jsav.2022.12.16
Jae-jun Choi. A Study on the AI Maturity Model for Chatbot Application Based on Reinforcement Learning. Journal of Software Assessment and Valuation. 2022; 18(2) 163-169. doi: 10.29056/jsav.2022.12.16
Jae-jun Choi. A Study on the AI Maturity Model for Chatbot Application Based on Reinforcement Learning. 2022; 18(2), 163-169. Available from: doi:10.29056/jsav.2022.12.16
Jae-jun Choi. "A Study on the AI Maturity Model for Chatbot Application Based on Reinforcement Learning" Journal of Software Assessment and Valuation 18, no.2 (2022) : 163-169.doi: 10.29056/jsav.2022.12.16
