• The Transactions of the Korea Information Processing Society
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• v.7 no.3
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• pp.862-870
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• 2000

Recently, according to the rapid development of internet and communication technologies, a lot of works based on network techniques have been developed. In relation to this trend, the agent systems that had been studied in the early AI have been being studied greatly in association with the network techniques. This paper present a design model of a secretary agent system in which each secretary agent can manage the schedules of her/his superior, and the descriptions about the implementation of the secretary agent system. In the presented secretary agent system, a database system and a knowledge-based systems are included and cooperated with each secretary agent to provide the ability of manipulating lots of schedule data and making decisions on them. This paper also shows that the presented secretary agent system can behavior like a real secretary through the various superior-secretary-meeting-requester interactions, which is different from the roup scheduling programs or personal scheduling programs.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.164-168
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• 2001

This paper introduces an agent system that assists in user's work on the Internet. First, the agent receives requests from the user or other agents. Since there are various kinds of requests, it is difficult to describe a completes set of request -handling rules in advance. Therefore, the agent makes a plan referring to old cases. The agent executes the plane which is a sequence of basic operation. If the agent fails to execute basic operation or to create a plan. then it makes a new plan by interacting with the user or other agent. Finally the agent stores this new case with user's evaluation score into the case base.

• Journal of the HCI Society of Korea
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• v.14 no.2
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• pp.71-81
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• 2019

As AI technology develops, its application has been extended to diverse fields. In particular, AI-enabled Chatbot services have garnered growing attention and such services are more important as a tool of communication in mobile shopping. However, research on chatbots is in its early stage and the understanding of chatbots in the context of mobile commerce is very limited. The purpose of this study is to empirically investigate consumer responses to a shopping chatbot with a focus on the effects of chatbot agent types and message types. Specifically, a $2{\times}2$ between-subjects experimental design, with the agent type (secretary/friend) and the message type (factual/evaluative) as the independent variables, was employed. The results show that although main effects of chatbot agent and message types are not found, interaction effects between chatbot agents and message types on consumer responses are significant. Specifically, when the agent type was a secretary, consumer responses to product recommendation with a factual message were more positive. On the other hand, in the case of the friend agent, the evaluative message led to more positive responses. The findings suggest that communication elements are important in the understanding of consumer responses to chatbots in mobile shopping and effective strategies for utilizing chatbots for mobile commerce should be considered.

• 제어로봇시스템학회:학술대회논문집
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• 1998.10a
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• pp.75-80
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• 1998

This paper proposes a novel computer human interface, named Virtual Wireless Microphone (VWM), which utilizes computer vision and signal processing. It integrates real-time face tracking and sound signal processing. VWM is intended to be used as a speech signal input method for human computer interaction, especially for autonomous intelligent agent that interacts with humans like as digital secretary. Utilizing VWM, the agent can clearly listen human master's voice remotely as if a wireless microphone was put just in front of the master.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.15 no.1
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• pp.1-11
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• 2015

A concept of Deep Level Situation Understanding is proposed to realize human-like natural communication (called casual communication) among multi-agent (e.g., humans and robots/machines), where the deep level situation understanding consists of surface level understanding (such as gesture/posture understanding, facial expression understanding, speech/voice understanding), emotion understanding, intention understanding, and atmosphere understanding by applying customized knowledge of each agent and by taking considerations of thoughtfulness. The proposal aims to reduce burden of humans in humans-robots interaction, so as to realize harmonious communication by excluding unnecessary troubles or misunderstandings among agents, and finally helps to create a peaceful, happy, and prosperous humans-robots society. A simulated experiment is carried out to validate the deep level situation understanding system on a scenario where meeting-room reservation is done between a human employee and a secretary-robot. The proposed deep level situation understanding system aims to be applied in service robot systems for smoothing the communication and avoiding misunderstanding among agents.

• The Transactions of the Korea Information Processing Society
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• v.3 no.7
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• pp.1803-1811
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• 1996

In a distributed multiagent framework, the capabilities of each agent are known to other agents. Namely, each agent in a multiagent society is aware of what agents are available in the whole society, which is able to solve a query, and how to contact them. This characteristic leads to the simplicity in controling both local and remote interactions among agents by using a fixed form for communication packes. This paper presents methods for controlling interactions among agents in this distributed multiagent frame-work. Agent interactions are described within the platform of MASCOT that is a tightly coupled multiagent system developed for the role of a computer secretary. A frame-like form of a commumication packet is defined, and protocols for message exchanges are presented. Also, ascenarios given to demonstrate how the communication mechanism controls agent intercations in MASCOT.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.10b
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• pp.1517-1520
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• 2000

최근 인터넷 및 정보 통신 기술이 급속하게 발달함에 따라서 네트워크를 기반으로 한 응용 소프트웨어 및 네트워크 관련 기술들이 많이 연구, 개발되고 있다. 이와 관련하여 과거 인공지능 분야에서 많이 연구되어 왔던 에이전트 기술이 최근의 네트워크 기술을 기반으로 하여 다시 활발한 연구가 진행되고 있다. 이러한 에이전트 기술을 이용하여 본 논문에서는 일반 비서업무 중에서 상사의 스케줄 관리를 대행할 수 있도록 하는 비서 에이전트 시스템 모델을 설계하고 그 구성 기법을 기술한다. 본 논문에서 기술하는 비서 에이전트 시스템은 3-tier 구조하에 각 비서 에이전트의 스케줄 자료 처리 및 이를 이용한 판단 능력을 효과적으로 분석하기 위해서 데이터베이스 시스템과 지식기반 시스템이 유기적으로 결합되어 운용된다.