• Annual Conference of KIPS
• /
• 2023.11a
• /
• pp.1033-1034
• /
• 2023

현대 사회에서 정신건강이 중요한 문제로 부상하고 있으나 국내 정신건강 서비스 이용률은 7.2%에 그친다. 코로나 발생 이후 이동성 제약 등의 요인에 따라 디지털 정신건강 관리 시장이 크게 성장할 것으로 보인다. 이에 본 논문에서는 AI 챗봇을 활용한 고민 상담을 통해 위로 및 제안을 제공하고, 대화 내용을 기반으로 영화를 추천하는 시스템을 제안한다. KoBert 모델을 이용하여 사용자의 감성을 분석하고, KoGPT 모델을 활용해 챗봇 응답을 생성한다.

• Annual Conference on Human and Language Technology
• /
• 2023.10a
• /
• pp.683-689
• /
• 2023

자연어 처리 분야는 최근에 큰 발전을 보였으며, 특히 초대규모 언어 모델의 등장은 이 분야에 큰 영향을 미쳤다. GPT와 같은 모델은 다양한 NLP 작업에서 높은 성능을 보이고 있으며, 특히 챗봇 분야에서 중요하게 다루어지고 있다. 하지만, 이러한 모델에도 여러 한계와 문제점이 있으며, 그 중 하나는 모델이 기대하지 않은 결과를 생성하는 것이다. 이를 해결하기 위한 다양한 방법 중, Retrieval-Augmented Generation(RAG) 방법이 주목받았다. 이 논문에서는 지식베이스와의 통합을 통한 도메인 특화형 질의응답 시스템의 효율성 개선 방안과 벡터 데이터 베이스의 수정을 통한 챗봇 답변 수정 및 업데이트 방안을 제안한다. 본 논문의 주요 기여는 다음과 같다: 1) QA Pair Passage RAG을 활용한 새로운 RAG 시스템 제안 및 성능 향상 분석 2) 기존의 LLM 및 RAG 시스템의 성능 측정 및 한계점 제시 3) RDBMS 기반의 벡터 검색 및 업데이트를 활용한 챗봇 제어 방법론 제안

• Journal of the HCI Society of Korea
• /
• v.12 no.4
• /
• pp.45-55
• /
• 2017

In recent years, some service providers have introduced chatbot agents to provide engagement in the healthcare field. However, current research on chatbot agents is still limited to designing various chatbot identities for healthcare services. By contrast, this study aims to investigate how various agent identities affect users' perceptions and behaviors differently. We developed three chatbot agents with different identities: a doctor (an individual), a hospital (an institution), and a virtual agent (a machine). Then, we recruited 36 users and divided them into three groups, each using a different chatbot agent. They were asked to track their behaviors and review advice from the chatbot agent for six days. Post-hoc surveys and interviews were conducted in order to investigate users' perceptions. The findings are as follows: participants felt more trusting and intimate with the doctor and hospital agents than with the virtual agent. Many of the participants preferred the hospital agent due to its higher reliability. However, all three agents did not lead the participants to change their behaviors. This study contributes to providing practical guidelines for designing chatbots in the healthcare field by studying users' perceptions and behaviors depending on chatbot identities.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.13 no.4
• /
• pp.765-776
• /
• 2018

Artificial Intelligence is a rapidly growing technology with the latest developments in computing technology and is considered as one of the next major technologies. Chat-Bot is a system that is designed to respond to user's input according to the rules that are set up in advance and it provides more services through simple and repetitive tasks such as counseling, ordering and others. Accordingly, the study aims to present a model of a celeb-bot using Artificial Intelligence. Celeb-Bot is a combination of Celeb, which are short for Celebrity and Chat-bot. Celeb-Bot provides a Chat-Bot service that allows people to talk to a celebrity. The celeb is the best thing to build a relationship and has the advantages of being accessible to anyone. At the same time, Artificial Intelligence is a technology that can be seen as a person, not a product. Based on this, we believe that Celeb's Characteristic and Chat-bot based on artificial intelligence technologies need to be combined, so variety of products can generate synergy. It is predicted that there will be variety of derivatives that utilize this technology, and it is going to present a celeb-bot model accordingly.

• Annual Conference of KIPS
• /
• 2017.11a
• /
• pp.671-674
• /
• 2017

고객 상담 채팅은 비동기 상태에서도 메시지를 보낼 수 있기 때문에 고객이 메시지를 보낸 후 한참 후에 메시지를 읽고 답을 보내는 경우가 많아 하나의 고객 문의를 처리하는데 시간이 많이 소요된다. 이런 문제점을 해결하기 위해서 본 논문에서는 룰 엔진 기반의 챗봇 IFTTT 서비스 시스템을 제안한다. 이를 통하여 고객 상담 업무를 자동적으로 실시간 처리 할 수 있다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• fall
• /
• pp.260-263
• /
• 2021

코로나19로 인해 출입 관련 시스템도 비대면으로 변화하고 있다. 변화에 맞추어 비대면으로 출입자를 관리할 수 있는 프로그램을 개발하여 접촉 위험을 줄이고 출입자 모니터링에 실용성을 제공하고자 한다. 본 연구에서는 Raspberry Pi 카메라에 Alchera Face Authentication API를 적용하여 얼굴인식을 실시하며 정보를 AWS 클라우드에서 저장·관리 하는 시스템을 개발하였다. 챗봇 서비스를 통해 출입자를 확인할 수 있으며 메신저에서 쉽게 클라우드에 접근하여 정보를 확인할 수 있게 하였다. 이를 통해, 특정 장소를 비대면으로 관리하며 간편하게 출입자를 모니터링할 수 있을 것으로 기대한다.

• Korea Information Processing Society Review
• /
• v.28 no.2
• /
• pp.50-58
• /
• 2021

• Journal of the Korea Society of Computer and Information
• /
• v.26 no.12
• /
• pp.53-59
• /
• 2021

In this paper, we propose a BERGPT-chatbot, a domestic AI chatbot that can alleviate negative emotions based on text input such as 'Replika'. We made BERGPT-chatbot into a chatbot capable of mitigating negative emotions by pipelined two models, KR-BERT and KoGPT2-chatbot. We applied a creative method of giving emotions to unrefined everyday datasets through KR-BERT, and learning additional datasets through KoGPT2-chatbot. The development background of BERGPT-chatbot is as follows. Currently, the number of people with depression is increasing all over the world. This phenomenon is emerging as a more serious problem due to COVID-19, which causes people to increase long-term indoor living or limit interpersonal relationships. Overseas artificial intelligence chatbots aimed at relieving negative emotions or taking care of mental health care, have increased in use due to the pandemic. In Korea, Psychological diagnosis chatbots similar to those of overseas cases are being operated. However, as the domestic chatbot is a system that outputs a button-based answer rather than a text input-based answer, when compared to overseas chatbots, domestic chatbots remain at a low level of diagnosing human psychology. Therefore, we proposed a chatbot that helps mitigating negative emotions through BERGPT-chatbot. Finally, we compared BERGPT-chatbot and KoGPT2-chatbot through 'Perplexity', an internal evaluation metric for evaluating language models, and showed the superity of BERGPT-chatbot.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.25 no.7
• /
• pp.877-883
• /
• 2021

Artificial intelligence technology is widely used in industrial and smart home fields such as manufacturing robots, artificial intelligence speakers, and robot vacuum cleaners. In this paper, we designed and implemented a 1:1 chatbot system based on artificial intelligence for use in RCMS (Real-time Cash Management System). The RCMS chatbot implemented in this paper was constructed with a total of 210 query scenarios in nine areas, including research expenses and system usage, based on 13,500 questions and answers from existing online bulletin boards. The chatbot is expected to solve the problem of insufficient number of counselors and to increase user satisfaction by responding to the researcher's inquiries after working hours, and the recommendation service for the cost of use, which had the most inquiries from researchers, reduces the number of consultations. It is expected to improve the quality of answers to other counseling inquiries.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.05a
• /
• pp.158-160
• /
• 2022

Many office workers spend a lot of time performing repetitive office tasks in inefficient ways. We developed a user-friendly chatbot system based on Kakaotalk to automate repetitive tasks and used the chatbot in the real workplace. In the process of operating the chatbot, if several people use the chatbot at the same time, the server was down or could not respond. To address these issues, we performed code migration of programs used by chatbot back-end servers and tried several ways to improve server performance such as database redesign and load balancing. To determine how much each method affects performance improvement, we measured total request per second and average latency. After that, we proposed ways to improve the problems of using the chatbot in the work environment.