• 제목/요약/키워드: Human Interaction

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휴먼-로봇 인터페이스를 위한 TTS의 개발 (Development of TTS for a Human-Robot Interface)

  • 배재현;오영환
    • 대한음성학회:학술대회논문집
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    • 대한음성학회 2006년도 춘계 학술대회 발표논문집
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    • pp.135-138
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    • 2006
  • The communication method between human and robot is one of the important parts for a human-robot interaction. And speech is easy and intuitive communication method for human-being. By using speech as a communication method for robot, we can use robot as familiar way. In this paper, we developed TTS for human-robot interaction. Synthesis algorithms were modified for an efficient utilization of restricted resource in robot. And synthesis database were reconstructed for an efficiency. As a result, we could reduce the computation time with slight degradation of the speech quality.

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The Impact of Gut Microbiota in Human Health and Diseases: Implication for Therapeutic Potential

  • Ha, Eun-Mi
    • Biomolecules & Therapeutics
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    • 제19권2호
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    • pp.155-173
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    • 2011
  • Humans have and hold 100 trillion intestinal bacteria that are essential for health. For millions of years human-microorganisms interaction has co-evolved, and maintained close symbiotic relationship. Gut bacteria contributes to human health and metabolism, and humans provides the optimum nutrition-rich environment for bacteria. What is the mechanism of the host distinguishing the intestinal bacteria as its cohabiting partner and what kind of benefits does the gut microbiota provide the human are the fundamental questions to be asked and solved in order to make human life a higher quality. This review explains the physiological relationship and mutualism between the host and gut microorganism, and highlights the potential therapeutic approach for treating diseases, maintaining and improving health based on these correlations.

설계 요건 중심의 인간-시스템 인터페이스 개발 프로세스 (Design Requirements-Driven Process for Developing Human-System Interfaces)

  • 함동한
    • 대한안전경영과학회지
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    • 제10권1호
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    • pp.83-90
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    • 2008
  • Development of human-system interfaces (HSI) supporting the interaction between human and automation-based systems, particularly safety-critical sociotechnial systems, entails a wide range of design and evaluation problems. To help HSI designers deal with these problems, many methodologies from traditional human-computer interaction, software engineering, and systems engineering have been applied; however, they have been proved inadequate to develop cognitively well engineered HSI. This paper takes a viewpoint that HSI development is itself a cognitive process consisting of various decision making and problem solving activities and then proposes a design requirements-driven process for developing HSI. High-level design problems and their corresponding design requirements for visual information display are explained to clarify the concept of design requirements. Lastly, conceptual design of software system to support the requirements-driven process and designers' knowledge management is described.

패션상품 챗봇에 대한 신뢰 형성 요인 - 지각된 지능과 긍정적 인지의 매개효과를 중심으로 - (Factors driving Fashion Chatbot Reliability -Focusing on the Mediating Effect of Perceived Intelligence and Positive Cognition-)

  • 이하경;윤남희
    • 한국의류산업학회지
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    • 제24권2호
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    • pp.229-240
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    • 2022
  • This study explores the effect of anthropomorphism on fashion chatbot reliability, mediated by perceived intelligence and cognitive evaluation. The moderating effects of individuals' need for human interaction between chatbot anthropomorphism and perceived intelligence, cognitive evaluation, and chatbot reliability are also explored. Participants, who were recruited through the online research firm, responded to questions after watching a video clip showing a conversation with a fashion chatbot on a mobile screen. The data were collected through Mturk, a crowdsourcing platform with an online research panel. All responses (N = 212) were analyzed using SPSS 26.0 for the descriptive statistics, frequency analysis, reliability analysis, exploratory factor analysis, and PROCESS procedure. The results demonstrate that chatbot anthropomorphism increases chatbot reliability, and this is mediated by chatbot intelligence. Although chatbot anthropomorphism increases cognitive evaluation, the effect of cognitive evaluation on chatbot reliability is not significant; thereby, the effect of chatbot anthropomorphism on chatbot reliability is not mediated by the cognitive evaluation. The direct effect of anthropomorphism on chatbot reliability is also moderated by individuals' need for human interaction. For participants with a high need for human interaction, chatbot anthropomorphism increases chatbot reliability; however, anthropomorphism does not significantly affect chatbot reliability for participants with a low need for human interaction. The study's findings contribute to expanding the literature on consumers' new technology acceptance by testing the antecedents affecting service reliability.

Deep Level Situation Understanding for Casual Communication in Humans-Robots Interaction

  • Tang, Yongkang;Dong, Fangyan;Yoichi, Yamazaki;Shibata, Takanori;Hirota, Kaoru
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제15권1호
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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.

In silico Study on the Interaction between P-glycoprotein and Its Inhibitors at the Drug Binding Pocket

  • Kim, Namseok;Shin, Jae-Min;No, Kyoung Tai
    • Bulletin of the Korean Chemical Society
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    • 제35권8호
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    • pp.2317-2325
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    • 2014
  • P-glycoprotein (P-gp) is a member of the ATP-Binding Cassette transporter superfamily and mediates transmembrane efflux of many drugs. Since it is involved in multi-drug resistance activity in various cancer cells, the development of P-gp inhibitor is one of the major concerns in anticancer therapy. Human P-gp protein has at least two "functional" drug binding sites that are called "H" site and "R" site, hence it has multi-binding-specificities. Though the amino acid residues that constitute in drug binding pockets have been proposed by previous experimental evidences, the shapes and the binding poses are not revealed clearly yet. In this study, human P-gp structure was built by homology modeling with available crystal structure of mouse P-gp as a template and docking simulations were performed with inhibitors such as verapamil, hoechst33342, and rhodamine123 to construct the interaction between human P-gp and its inhibitors. The docking simulations were performed 500 times for each inhibitor, and then the interaction frequency of the amino acids at the binding poses was analyzed. With the analysis results, we proposed highly contributing residues that constitute binding pockets of the human P-gp for the inhibitors. Using the highly contributing residues, we proposed the locations and the shapes of verapamil binding site and "R" site, and suggested the possible position of "H" site.

사람과 로봇의 상호작용을 통한 청소 로봇 알고리즘 (Cleaning Robot Algorithm through Human-Robot Interaction)

  • 김승용;김태형
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제35권5호
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    • pp.297-305
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    • 2008
  • 청소 로봇은 지도 작성 및 위치 인식을 기준으로 청소 방법을 랜덤(random)방식과 매핑(mapping)방식으로 분류 할 수 있다. 랜덤방식은 지도를 작성하지 않아 가격경쟁력이 있지만 효율이 떨어진다. 반면, 매핑방식은 지도를 작성하므로 청소 효율이 높지만 상대적인 가격경쟁력이 떨어진다. 그러므로 랜덤방식과 매핑방식의 문제점들을 보안하기 위해 본 논문은 고가의 센서 정보를 사용하지 않고 사람이 청소 로봇에게 청소 공간에 대한 정보를 알려주며, 이 정보를 이용하여 기존의 청소 로봇보다 효율적이고 저렴한 청소 로봇을 제안한다. 또한 기존의 청소 로봇과 본 논문에서 제안한 청소 로봇과의 성능 비교를 통해서 본 논문에서 제안한 방식의 효율성을 보인다.

Interaction Characteristics of Nucleoside Analogues with Human Organic Anion Transporter 1 and 3

  • Choi, Jun-Shik;Cheon, Eun-Pa;Han, Hyo-Kyung
    • Journal of Pharmaceutical Investigation
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    • 제36권4호
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    • pp.283-286
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    • 2006
  • The present study aimed to investigate the interaction of nucleoside analogs with human organic anion transporter 1 and 3(hOAT1 and hOAT3) that play a primary role in the tubular uptake of endogenous and exogenous organic anions in the kidney. The interactions of ddC, ara-C, ara-A and ara-U with hOAT1 and hOAT3 were examined using MDCK cells stably overexpressing hOAT1 or hOAT3. Among the tested drugs, ddC showed the highest affinity to hOAT1 with $IC_{50}$ values of 5.2 mM, while ara-A, ara-C and ara-U weakly inhibited the cellular uptake of $[^3H]-PAH$ in MDCK-hOAT1 cells at 1 mM. In contrast, all the tested drugs did not have any inhibition effect on the cellular uptake of $[^3H]-estrone$ sulfate in MDCK-hOAT3 cells over the drug concentration of 0.01-2 mM, implying that they might not interact with hOAT3. Taken all together, the present study suggests that hOAT1 could weakly interact with nucleoside analogues such as ddC, ara-C, ara-A and ara-U but the interaction with hOAT3 during the urinary excretion of these nucleoside analogues may be negligible in the kidney.

한국 전통춤의 전승 및 보급을 위한 이러닝 시스템에 관한 연구 (A Study on E-Learning System of Korean Traditional Dance for Transmission and Dissemination)

  • 이종욱;이지현
    • 한국HCI학회논문지
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    • 제12권3호
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    • pp.5-11
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    • 2017
  • 한국 전통춤은 인류의 문화적 자산으로 문화적 활용가치를 가지고 있지만 전수희망자의 부족과 대중적인 무관심으로 소멸의 위기에 처해 있다. 네트워크 기술과 영상매체 기술을 활용한 전통춤의 이러닝(E-Learning)은 위에서 제기한 문제점들을 해결하기 위한 방법이 될 수 있다. 이 연구는 전통춤 교육에 활용될 수 있는 이러닝 교육과정 및 실시간 이러닝 교육시스템들을 제안하였다. 시스템들은 일반인을 대상으로 HCI(Human Computer Interaction) 사용자 평가법에 따라 비교평가하고 피드백 및 교육경험 인터뷰를 실시하였다. 본 연구는 전통춤의 실시간 이러닝 교육시스템을 제안함으로써 공간적 제약을 극복하고 새로운 매체 경험을 통해 무형문화재로서 전통춤을 전승, 보급하는데 기여할 수 있다.