• Title/Summary/Keyword: 모바일 메신저 서비스

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A Study on Reducing Duplication Responses of Chatbot Based on Multiple Tables (다중 테이블을 활용한 챗봇의 중복 응답 감소 연구)

  • Gwon, Hyuck-Moo;Seo, Yeong-Seok
    • KIPS Transactions on Software and Data Engineering
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    • v.7 no.10
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    • pp.397-404
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    • 2018
  • Various applications are widely developed for smartphones to meet customer's needs. In many companies, messenger's typed interactive systems have been studied for business marketing, advertising and promotion to provide useful services for the customers. Such interactive systems are usually called as "Chatbot". In Chatbot, duplicated responses from Chatbot could occur frequently, and these make one lose interest. In this paper, we define a case that the response of Chatbot is duplicated according to the user's input, and propose a method to reduce duplicated responses of Chatbot. In the proposed method, we try to reduce duplication responses through a new duplication avoidance algorithm by building multiple tables in a database and by making combinations of user's input and its response in each table. In our experiments, the proposed method shows that duplicated responses are reduced by an average of 70%, compared with the existing method.

Study on the development of automatic translation service system for Korean astronomical classics by artificial intelligence - Focused on system analysis and design step (천문 고문헌 특화 인공지능 자동번역 서비스 시스템 개발 연구 - 시스템 요구사항 분석 및 설계 위주)

  • Seo, Yoon Kyung;Kim, Sang Hyuk;Ahn, Young Sook;Choi, Go-Eun;Choi, Young Sil;Baik, Hangi;Sun, Bo Min;Kim, Hyun Jin;Lee, Sahng Woon
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.2
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    • pp.62.2-62.2
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    • 2019
  • 한국의 고천문 자료는 삼국시대 이후 근대 조선까지 다수가 존재하여 세계적으로 드문 기록 문화를 보유하고 있으나, 한문 번역이 많이 이루어지지 않아 학술적 활용이 활발하지 못한 상태이다. 고문헌의 한문 문장 번역은 전문인력의 수작업에 의존하는 만큼 소요 시간이 길기에 투자대비 효율성이 떨어지는 편이다. 이에 최근 여러 분야에서 응용되는 인공지능의 적용을 대안으로 삼을 수 있으며, 초벌 번역 수준일지라도 자동번역기의 개발은 유용한 학술도구가 될 수 있다. 한국천문연구원은 한국정보화진흥원이 주관하는 2019년도 Information and Communication Technology 기반 공공서비스 촉진사업에 한국고전번역원과 공동 참여하여 인공신경망 기계학습이 적용된 고문헌 자동번역모델을 개발하고자 한다. 이 연구는 고천문 도메인에 특화된 인공지능 기계학습 기법으로 자동번역모델을 개발하여 이를 서비스하는 것을 목적으로 한다. 연구 방법은 크게 4가지 개발을 진행하는 것으로 나누어 볼 수 있다. 첫째, 인공지능의 학습 데이터에 해당되는 '코퍼스'를 구축하는 것이다. 이는 고문헌의 한자 원문과 한글 번역문이 쌍을 이루도록 만들어 줌으로써 학습에 최적화한 데이터를 최소 6만 개 이상 추출하는 것이다. 둘째, 추출된 학습 데이터 코퍼스를 다양한 인공지능 기계학습 기법에 적용하여 천문 분야 특수고전 도메인에 특화된 자동번역 모델을 생성하는 것이다. 셋째, 클라우드 기반에서 참여 기관별로 소장한 고문헌을 자동 번역 모델에 기반하여 도메인 특화된 모델로 도출 및 활용할 수 있는 대기관 서비스 플랫폼 구축이다. 넷째, 개발된 자동 번역기의 대국민 개방을 위해 웹과 모바일 메신저를 통해 자동 번역 서비스를 클라우드 기반으로 구축하는 것이다. 이 연구는 시스템 요구사항 분석과 정의를 바탕으로 설계가 진행 또는 일부 완료되어 구현 중에 있다. 추후 이 연구의 성능 평가는 자동번역모델 평가와 응용시스템 시험으로 나누어 진행된다. 자동번역모델은 평가용 테스트셋에 의한 자동 평가와 전문가에 의한 휴먼 평가에 따라 모델의 품질을 수치로 측정할 수 있다. 또한 응용시스템 시험은 소프트웨어 방법론의 개발 단계별 테스트를 적용한다. 이 연구를 통해 고천문 분야가 인공지능 자동번역 확산 플랫폼 시범의 첫 케이스라는 점에서 의의가 있다. 즉, 클라우드 기반으로 시스템을 구축함으로써 상대적으로 적은 초기 비용을 투자하여 활용성이 높은 한문 문장 자동 번역기라는 연구 인프라를 확보하는 첫 적용 학문 분야이다. 향후 이를 활용한 고천문 분야 학술 활동이 더욱 활발해질 것을 기대해 볼 수 있다.

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A Study on Platform Strategies of Korean First Mobile Instant Messenger KakaoTalk (주식회사 카카오의 플랫폼 전략에 대한 연구)

  • Jang, Kyoung Young;Oh, Jung Suk
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.8 no.4
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    • pp.49-56
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    • 2013
  • KakaoTalk, a Korean mobile instant messenger service launched by KAKAO Inc., has grown remarkably popular in a short period of time, with its number of subscribers exceeding 100 million as of July 2013. Today, KakaoTalk is an everyday communication tool among most Korean mobile users. Although KAKAO has been the subject of many business and consumer studies, the KakaoTalk platform strategy has not been studied thoroughly. In this study, we analyze its platform strategy through the lens of several widely utilized frameworks such as Platform Leadership (Gawer & Cusumano 2002, 2008), Winner-take-all dynamics (Eisenmann et al. 2006), and Open Service Innovation (Chesbrough 2011). Our results show that Eisenmann et al (2006)'s "Winner-Take-All" platform best explains how KakaoTalk dominated its rivals, Mypeople by Daum Communications and Line by Naver Corporation. In surpassing its rivals, KAKAO delivered a solution to the 'essential problem' that mobile social communication should be upgraded from mobile companies' paid "Short Message Service" (SMS). By doing so, KakaoTalk fulfilled the first requirement of Gawer & Cusumano (2008)'s "Coring" strategy, which explains how a new platform is created. KakaoTalk also satisfied the second requirement of "Coring" by providing economic incentives for KakaoTalk members to interact through its Games and Items store. Actively accepting its customers' ideas and upgrading its services, KAKAO reinforced its platform leadership to its customers and put Chesbrough (2011)'s "Outside In - Open Service" innovation strategy into practice.

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AI Chatbot Users' Satisfaction and Intention for Continued Use : Moderating Effects of Chatbot Type and Motivations (AI 챗봇 타입과 이용동기에 따른 사용만족도 및 지속사용의도 :자기결정이론을 중심으로)

  • Chu, Ruotzu;Lim, Sohye
    • The Journal of the Korea Contents Association
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    • v.20 no.10
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    • pp.630-640
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    • 2020
  • With a recent rise of various chatbot services, this study attempts to explore the role of chatbot users'' psychological characteristics by applying the self-determination theory. In particular,this study investigates (a) the relationship between chatbot users' psychological needs(perceived autonomy, perceived competence, perceived relatedness) and user satisfaction, continuous intention to use, and (b) the moderating effect of chatbot type and user motivations. Based upon a survey, the results revealed that perceived autonomy, competence, and relatedness had significant positive effects on user satisfaction and continuous intention to use. The results also confirmed that the user satisfaction had a significant positive effect on the continuous intention to use. The moderating effect of social and relational motivation was found between perceived autonomy, competence, relatedness and user satisfaction. The implications are discussed for furthering the development of chatbot services.

Effect of Motivations and Satisfaction using Kakaotalk's Gift on the Frequency of Purchasing Kakaotalk's Gift (카카오톡선물의 이용동기와 이용만족이 구매빈도에 미치는 영향)

  • Cho, SeungHo;Cho, SangHoon
    • The Journal of the Korea Contents Association
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    • v.15 no.9
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    • pp.454-464
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    • 2015
  • In this study, we examined the motivations of using Kakaotalk's gift that is one of services provided by Kakaotalk, the most popular mobile-based messenger. We also investigated possible effects of these motivations on the satisfaction of the Kakaotalk's service and a potential association of these motivations with the frequency of purchasing gifts using the service. In order to answer the research questions, we conducted a survey that recruited 220 users ranging from teenagers to in forties. As the main results of analysis, we identified four different types of user's motivations for Kakaotalk's gift: beneficial motivation, convenient motivation, improvised buying motivation, and entertaining motivation. Both the beneficial motivation and the entertaining motivation were significantly associated with the gratification of using Kakaotalk's gift, which was in turn significantly associated with the frequency of purchasing gifts through the service.

Optical Character Recognition based Security Document Image File Management System (광학문자인식 기반 보안문서 이미지 파일 관리 시스템)

  • Jeong, Pil-Seong;Cho, Yang-Hyun
    • Journal of the Korea Convergence Society
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    • v.10 no.3
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    • pp.7-14
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    • 2019
  • With the development of information and communication technology, we have been able to access and manage documents containing corporate information anytime and anywhere using smart devices. As the work environment changes to smart work, the scope of information distribution is expanded, and more efforts are needed to manage security. This paper proposes a file sharing system that enables users who have smart devices to manage and share files through mutual cooperation. Proposed file sharing system, the user can add a partner to share files with each other when uploading files kept by spliting the part of the file and the other uses an algorithm to store on the server. After converting the file to be uploaded to base64, it splits it into encrypted files among users, and then transmits it to the server when it wants to share. It is easy to manage and control files using dedicated application to view files and has high security. Using the system developed with proposed algorithm, it is possible to build a system with high efficiency even for SMEs(small and medium-sized enterprises) that can not pay much money for security.

Preliminary Research for Korean Twitter User Analysis Focusing on Extreme Heavy User's Twitter Log (국내 트위터 유저 분석을 위한 예비연구 )

  • Jung, Hye-Lan;Ji, Sook-Young;Lee, Joong-Seek
    • Journal of the HCI Society of Korea
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    • v.5 no.1
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    • pp.37-43
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    • 2010
  • Twitter has been continuously growing since October, 2006. Especially, not only the users and the number of messages have been increasing but also a new concept in social networking called 'micro blogging' has diffused. Within Korea, service such as 'me2day' has already been introduced and the improvement of internet accessibility within mobile devices is expected to expand the 'micro blogs'. In this point, this research is executed to study the new medium, 'micro blog'. To do so, we collected and analyzed Twitter logs of Korean users. Especially, we were curious about the extreme heavy users using Twitter, despite of the linguistic and cultural barrier of the foreign service. Who they are, why and how they use the 'micro blog'. First, we reviewed the general aspect of followers and messages by collecting a certain number of random samples. Using the Lorenz curve we found out that there was the imbalance within the users and based on this phenomenon we deducted an extreme heavy user group. In order to perform further analysis, log analysis was performed on the extreme heavy users. As the result, the users used multiple mobile and desktop 'Twitter' clients. The usage pattern was similar to that of internet usage time but was used during their "micro" time. The users using 'Twitter' not only to spread messages about important information, special events and emotions, but also as a habitual 'chatting tool' to express ordinary personal chats similar to SMS and IM services. In this research, it is proved that 68% of the total messages were ordinary personal chats. Also, with 24% of the total messages were retweets, we were able to find out that virtually connected 'people' and 'relationships' acted as the dominant trigger of their articulation.

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