• Title/Summary/Keyword: embodied agents

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Crossmodal Perception of Mismatched Emotional Expressions by Embodied Agents (에이전트의 표정과 목소리 정서의 교차양상지각)

  • Cho, Yu-Suk;Suk, Ji-He;Han, Kwang-Hee
    • Science of Emotion and Sensibility
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    • v.12 no.3
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    • pp.267-278
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    • 2009
  • Today an embodied agent generates a large amount of interest because of its vital role for human-human interactions and human-computer interactions in virtual world. A number of researchers have found that we can recognize and distinguish between various emotions expressed by an embodied agent. In addition many studies found that we respond to simulated emotions in a similar way to human emotion. This study investigates interpretation of mismatched emotions expressed by an embodied agent (e.g. a happy face with a sad voice); whether audio-visual channel integration occurs or one channel dominates when participants judge the emotion. The study employed a 4 (visual: happy, sad, warm, cold) $\times$ 4 (audio: happy, sad, warm, cold) within-subjects repeated measure design. The results suggest that people perceive emotions not depending on just one channel but depending on both channels. Additionally facial expression (happy face vs. sad face) makes a difference in influence of two channels; Audio channel has more influence in interpretation of emotions when facial expression is happy. People were able to feel other emotion which was not expressed by face or voice from mismatched emotional expressions, so there is a possibility that we may express various and delicate emotions with embodied agent by using only several kinds of emotions.

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Study of deduction flow map on conversation toward the Embodied conversational agents in the Mobile Environment (모바일 상황에서 대화형 에이전트와 사용자의 대화 흐름도 도출 연구)

  • Choi, Yoo-Jung;Jo, Yoon-Ju;Park, Su-E
    • 한국HCI학회:학술대회논문집
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    • 2008.02a
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    • pp.178-183
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    • 2008
  • The goal of this study is finding flow-map in conversation what is going on user and embodied conversational agent by analysing that conversation. Specifically, this study not only find elements of conversation, but also draw out patterns of conversation can be exist for dialogue ability between user and Embodied conversational agent. To do this, we collect data through in-depth one to one interview, and then we analysis collected data to try to find out element of user-agent conversation based on qualitative research refer to the theory of conversation analytics and type of conversation. As a result, six flow map is deducted Especially, the irregular conversation is hard to find in human-human conversation, and the frequency is the most in data. In addition, when elements of interruption came out, be hostile to partner or correct the press conversation. This study can have positive effect to embodied conversation agent developer, user and service offerer because this study find the type of conversation through analysis that between embodied conversational agent and user.

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Game Theory Based Coevolutionary Algorithm: A New Computational Coevolutionary Approach

  • Sim, Kwee-Bo;Lee, Dong-Wook;Kim, Ji-Yoon
    • International Journal of Control, Automation, and Systems
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    • v.2 no.4
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    • pp.463-474
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    • 2004
  • Game theory is a method of mathematical analysis developed to study the decision making process. In 1928, Von Neumann mathematically proved that every two-person, zero-sum game with many pure finite strategies for each player is deterministic. In the early 50's, Nash presented another concept as the basis for a generalization of Von Neumann's theorem. Another central achievement of game theory is the introduction of evolutionary game theory, by which agents can play optimal strategies in the absence of rationality. Through the process of Darwinian selection, a population of agents can evolve to an Evolutionary Stable Strategy (ESS) as introduced by Maynard Smith in 1982. Keeping pace with these game theoretical studies, the first computer simulation of coevolution was tried out by Hillis. Moreover, Kauffman proposed the NK model to analyze coevolutionary dynamics between different species. He showed how coevolutionary phenomenon reaches static states and that these states are either Nash equilibrium or ESS in game theory. Since studies concerning coevolutionary phenomenon were initiated, there have been numerous other researchers who have developed coevolutionary algorithms. In this paper we propose a new coevolutionary algorithm named Game theory based Coevolutionary Algorithm (GCEA) and we confirm that this algorithm can be a solution of evolutionary problems by searching the ESS. To evaluate this newly designed approach, we solve several test Multiobjective Optimization Problems (MOPs). From the results of these evaluations, we confirm that evolutionary game can be embodied by the coevolutionary algorithm and analyze the optimization performance of our algorithm by comparing the performance of our algorithm with that of other evolutionary optimization algorithms.

Social Response to Self-Disclosure of Agents: Context-Awareness and Building Positive Social Relationship (에이전트의 자기노출에 대한 사용자의 사회적 반응: 컨텍스트 인식과 긍정적인 사회적 관계 형성)

  • Park, Joo-Yeon;Lee, Jeong-Eun;Yoon, Young-Chul
    • 한국HCI학회:학술대회논문집
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    • 2006.02a
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    • pp.110-117
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    • 2006
  • 컴퓨터가 우리의 일상적 환경으로 스며드는 유비쿼터스 컴퓨팅 환경에서의 인터페이스는 '컨텍스트 인식'과 더불어 이용자들과의 '긍정적인 사회적 관계'를 형성할 수 있어야 한다. 본 연구에서는 이 두 가지의 관점을 충족시킬 수 있는 인터페이스 에이전트의 유형으로 '자기를 노출하는 에이전트'를 제안하고, 에이전트의 자기노출에 대한 사용자의 사회적 반응을 측정하였다. 실험 결과, 1) 에이전트로부터 친밀성이 높은 노출을 받은 피험자들은 더 깊은 자기노출을, 많은 양의 자기노출을 받은 피험자들은 더 많은 양의 자기노출을 하였다. 2) 에이전트 자기노출의 깊이가 깊을수록 에이전트에 대한 호감과 신뢰는 감소하였다. 3) 피험자들은 처음 만난 자리에서 극히 개인적인 노출을 하는 에이전트보다는 일반적인 노출을 하는 에이전트와 장기적으로 더 친밀해질 것이라고 예측하였다. 이러한 결과는 컨텍스트를 인식하는 인터페이스 에이전트로 자기노출 에이전트를 이용할 경우 사용자의 심리적 구조를 파악하는데 효과적임을 보여주며, 단기적인 사용자 정보의 추출보다는 장기적 관점에서 호감과 신뢰를 쌓을 수 있는 이용자와 에이전트의 사회적 관계 달성이 우선적으로 고려되어야 함을 시사한다.

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Game Theory Based Co-Evolutionary Algorithm (GCEA) (게임 이론에 기반한 공진화 알고리즘)

  • Sim, Kwee-Bo;Kim, Ji-Youn;Lee, Dong-Wook
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.3
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    • pp.253-261
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    • 2004
  • Game theory is mathematical analysis developed to study involved in making decisions. In 1928, Von Neumann proved that every two-person, zero-sum game with finitely many pure strategies for each player is deterministic. As well, in the early 50's, Nash presented another concept as the basis for a generalization of Von Neumann's theorem. Another central achievement of game theory is the introduction of evolutionary game theory, by which agents can play optimal strategies in the absence of rationality. Not the rationality but through the process of Darwinian selection, a population of agents can evolve to an Evolutionary Stable Strategy (ESS) introduced by Maynard Smith. Keeping pace with these game theoretical studies, the first computer simulation of co-evolution was tried out by Hillis in 1991. Moreover, Kauffman proposed NK model to analyze co-evolutionary dynamics between different species. He showed how co-evolutionary phenomenon reaches static states and that these states are Nash equilibrium or ESS introduced in game theory. Since the studies about co-evolutionary phenomenon were started, however many other researchers have developed co-evolutionary algorithms, in this paper we propose Game theory based Co-Evolutionary Algorithm (GCEA) and confirm that this algorithm can be a solution of evolutionary problems by searching the ESS.To evaluate newly designed GCEA approach, we solve several test Multi-objective Optimization Problems (MOPs). From the results of these evaluations, we confirm that evolutionary game can be embodied by co-evolutionary algorithm and analyze optimization performance of GCEA by comparing experimental results using GCEA with the results using other evolutionary optimization algorithms.

The Barangay Integrated Development Approach for Nutrition Improvement of the Rural Poor, BIDANI(a Nutrition-in-Development Network Program) (지역 종합개발계획 접근에 의한 빈농 영양개선사업 -영양ㆍ개발 네트워크 프로그램-)

  • 박양자
    • Korean Journal of Rural Living Science
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    • v.4 no.2
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    • pp.155-162
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    • 1993
  • BIDANI is the action-research program. BIDANI aims to be truly a people's program embodying their own activities and aspiration. BIDANI sees an integrated development approach at the community level with participatory services embodied in a Barangay Integrated Development Plan(BIDP) designed by the people themselves. Community situational analysis is conducted by the people to identify the priority problems and potential resources in the barangay. Participatory planning, using the “bottom up” apporach, is exercised to formulate a BIDP. Proper motivation and advocacy encourage barangay people's participation. Accessibility and efficiency in the use of various services and resources of government and private agencies increase. Family groups who are at high-risk to malnutrition become aware of the importance of nutrition through their participation in development program activities. Integration of political and socio-economic concerns at the lowest level is operationalized. Implementation and sustainability of the program on a wider scale from a model project to a model program is facilitated through institutionalization at the municipal/city level with the mayor as the project director. “Top to bottom” planning through a City/Municipal Integrated Development Program(C/MIDP) interacts with “bottom up” planning at the barangay level. The establishment of a local Training School for Barangay Development(TSBD) in each municipality and city for continuing education of indigenous village workers and barangay people is a vital component for success and viability. The role of non-political entities such as academic institutions and non-government organizations, as catalytic agents of development, is stressed.

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