Proposed Integration for AICC-based Chatbot Improvement



AICC, Chatbot, Artificial intelligence


 Artificial intelligence is the foundation of the era of the Fourth Industrial Revolution and has been applied to various fields. Among them, there are many fields that use artificial intelligence-based chatbots, such as finance, medical care, etc. Chatbots are also used in call centers, where the turnover rate of call center counselors is traditionally 13 times higher than that of other industries. In addition, it is difficult to maintain stable counseling due to realistic difficulties such as time and investment costs even when professional counselors are continuously fostered in call centers. Therefore, practical measures are required to stabilize the supply and demand of manpower in the call center industry and support continuous growth. In this study, we present a customized AICC operation service structure that can alleviate the difficulties of call center counselors, receive customer requests, and provide answers in the most similar form to humans instead of counselors. Until now, chatbots functions were based on voice recognition ARS, TTS, and ERMS for a quick response to simple services and connection to counselors. In contrast, the contents presented in this study suggest a service structure that can respond to customers within 1.4 seconds after a phone call by combining STT, NLU, and TTS with an AICC-based counseling task automation environment. The established system can secure work efficiency and strengthen expertise, and a plan is presented for a system structure that enables future customer communication in the non-contact era as COVID-19.


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Kyujun Cho, (2021), Vulnerability in Call Center Labor, 21 Years of Monthly Labor Review

Jung Joon-hwa (2018). The status of chatbots and future challenges. Issues and Issues of the National Assembly Legislative Research Service No. 1456.

Satish, A. B. ., & Rechanna, D. (2022). An Empirical Study on the Impact of HRD Practices on NPOs in Utilizing Foreign Contributions Received. International Journal of New Practices in Management and Engineering, 11(01), 01–14.

NIA. (2018). Trend & Future. Retrieved from

The Machine. Khari Johnson. (2017). Facebook Messenger hits 100,000 bots, Retrieved from

Roy, R., and D. A. . Kalotra. “Vehicle Tracking System Using Technological Support for Effective Management in Public Transportation”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 10, no. 2, Mar. 2022, pp. 11-20, doi:10.17762/ijritcc.v10i2.5515.

Grand view research. Chatbot Market Size, Share & Trends Analysis. (2021). Retrieved from

Cho Kyo-joon. Vulnerability to call center labor. (2021). Monthly labor review, pp 53-70

Andrie Dazlee, N. M. A., Abdul Khalil, S., Abdul-Rahman, S., & Mutalib, S. (2022). Object Detection for Autonomous Vehicles with Sensor-based Technology Using YOLO. International Journal of Intelligent Systems and Applications in Engineering, 10(1), 129–134.

Aju Business Daily. Expanding application of AI business in banks, accelerating digital transformation. (2020). Retrieved from

Yoo, Ji Yeon & Yoo, Hoon Sik. The effects of smart-learning in Korean language education through chatbots: A focus on learner perception. (2021). Multimedia-Assisted Language Learning, 24(2), 82-105. Doi: 15702/mall.2021.24.2.82

Ghazaly, N. M. . (2022). Data Catalogue Approaches, Implementation and Adoption: A Study of Purpose of Data Catalogue. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 8(1), 01–04.

Ki-Dong Ryu, Jong-Pil Park, Young-min Kim, Dong-Hoon Lee, Woo-Je Kim. Development of AI-based Real Time Agent Advisor System on Cal Center - Focused on N Bank Call Center. (2019). Journal of the Korea Academia-Industrial cooperation Society, Volume 20 Issue 2, Pp.750-762

Abouhogail, R. A. (2022). Untraceable Authentication Protocol for IEEE802.11s Standard. International Journal of Communication Networks and Information Security (IJCNIS), 13(3).

AItimes. [Special report] Natural language processing (NLP)... What about the technology and market? (2020).

Retrieved from

NEWSIS. AI Customer Center "Kakao i Connect Center" is open..."Targeting corporate customers". (2022). Retrieved from

IBM. IBM Robotic Process Automation. (2021). Retrieved from

Kim, K.-B. (2019). A Study of Convergence Technology in Robotic Process Automation for Task Automation. Journal of Convergence for Information Technology, 9(7), 8–13. Doi:

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How to Cite

M.-S. . Kang, D.-H. . Han, Y.-H. . Jeong, and C. O. Park, “Proposed Integration for AICC-based Chatbot Improvement”, Int J Intell Syst Appl Eng, vol. 10, no. 1s, pp. 111 –, Oct. 2022.