• Journal of Science and Technology Studies
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• v.17 no.1
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• pp.5-39
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• 2017

In March 2016, the computer Go program, AlphaGo, defeated Sedol Lee, a Korean professional Go player of 9-dan rank. This victory by AlphaGo shows the rise in popularity of artificial intelligence (AI). Not only was this game a testament to machine performance, it was the type of game that extended the Turing test. When the interrogator cannot differentiate between human being and machine, the machine has passed the test. This article examines the interactions between AI and human beings and studies the social nature of intelligence through the AlphaGo case. Collins insists that knowledge or intelligence is social and embodied, and the interrogators in the Turing test can identify the difference between native members and non-members through their knowledge only. Applying this concept, AlphaGo, as subject A of this test, fulfilled its role of stirring up the classical "truth of human." Meanwhile, Lee as subject B, played to speak the truth by revealing his own qualities. Here, it is also important role that interrogators judge what it is. Many spectators, as interrogators, have intervened to confirm the border between human beings and machines by using their embodied and social knowledge.

• Journal of Korean Academy of Nursing
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• v.6 no.1
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• pp.80-90
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• 1976

정신과 영역의 환자를 위해 간호원의 역활을 필요로 한 이래 여러 가지 간호의 개념으로 간호원의 역할이 변화되어오고 있다. 정신과 환자의 안전만이 가장 큰 치료의 중심일 때는 병동열쇠의 위엄에 곁따라 보호관리에만 치중해 왔으며 정신의학에서 약물요법, 전기요법의 치료과정이 생기면서 간호원의 역할 변화 및 지식의 요구를 필요로 하게 되었으며, 환경과 개인의 밀접한 관계를 중시해오면서 치료적 환경속으로 환자의 인간적 치료가 강조되었을 때 의사소통과 대인관계의 인적 환경으로써 또한 간호원의 역활이 중요시 되어왔다. 이런 관점에서 치료적 환경에 대한 정확한 이해는 간호행위과정의 불완전을 제거하며 보다 활발한 정신과 환자간호에 기여하는 일 일 것이다. DR. Bartom은 병실 환경이 비생산적이고 비 치료적일때 성격의 변화는 물론 행동적 특성의 변화까지 가져올 수 있다고 말했다. 즉 무감동적이고, 무조건적 순종이 있으며 솔선하여 행하는 행위가 줄고 장래 계획에 대한 자극이 줄어들고 될대로 되어 가는 상태 그 자체에 머물러 있어 인간의 특징적 의미와 가치를 상실하게 된다는 것이다. 정신과 병실은 잠정적 체류지로 보아야 하겠고 이 체류지에서의 영향이 환자에게 보다 유익하게 끼칠려면 간호원이 지속적으로 치료적 분위기를 유지해야 할 것이다. 치료적 입장으로서의 간호의 활동 초점은 대인관계에서 환자의 의식수준과 자아관련 수준에서의 취급이 무의식 수준에서의 탐구조사보다 바람직하다. 치료적 가치로써 치료적 환경의 이론적 근거를 DR. Sullivan 은 인간의 상호관련 문제에 두고 있다. 즉 상호작용이 존재하는 환경은 어떠한 곳이든 성격에 영향이 있고 이 성격은 대인관계의 복잡성으로부터 결코 떨어질 수 없다는 얘기다. 자아구성 또한 환경의 영향을 받는데 Cumming은 병동환경과 자아구성 재동기간에 밀접성을 시사한바 있다. Visher와 O'sullivan은 정신과적 치료중에서 일상생활에서 경험되어지는 의사소통과 대인관계속에서 학습되어지는 여러 가지가 있기 때문에 매일의 활동획이 치료적 방향으로 계획되어 져야 한다고 말했다. Maxwell Jones 또한 치료적 환경의 유용한 가동은 전 직원의 기여에 있으며 이는 정신건강을 최적으로 올려 줄 것이다. 라고 말했다. 이러한 상황에서 간호원은 의미 없이 환자의 감정 욕구를 깨닫지 못하고 감정지지를 주지 못하며 정서적 긴장을 예방하지 못한 체 환자와의 관계를 유지한다면 현대간호의 개념에서 이탈되어지고 발달되어지지 못한 미숙아 현상이 유지 될 것이다. 보다 바람직한 치료적 환경 유지는 간호로써 환자에게 기여해 주는 일이다. 간호의 역활과 더불어 전문적 태도는 따뜻하고 포용성 있게 그리고 융통성 있게 대함은 물론 간호인 자신의 "자기이용"을 깊이 그리고 치료적으로 이용할 것을 깨달아야 할 것이다. 즉 정신과 병실에서의 간호원 존재 자제가 환자에게 미치는 영향도 고려해야 한다는 것이다. 덧붙여 환자를 위한 일주일 병동 행사표를 Model로 제시하였고 그 안에서의 간호원의 역활을 약술하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2005.11a
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• pp.13-18
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• 2005

유비쿼터스 개념의 방송 및 통신 사업은 방송-컴퓨터-사물-사람 연계의 실현이 우선되어야 한다. 여기에 방송의 디지털 미디어 기술과 정보장치가 가정의 TV이든, 이동시의 휴대폰이든, PC나 노트북이든, 혹은 개인과 관련된 모든 사물이 통합 네트?p으로 연결 될 때 비로소 그 가치를 발휘하게 된다. 최적화된 유비쿼터스 방송 교육 운용 시스템이란 이러한 각종 미디어와 전자 감응 장치를 장착시킨 물건들을 u-컴퓨팅하여 개인과 특정 집단이 원하는 때와 장소에서 원하는 서비스를 제공받을 수 있는 전자 유기체를 가리킨다. 이러한 통합 학습 유기체란 개개인의 능력은 물론 성격이나 욕망까지 컴퓨팅할 수 있는 전자지능시스템과 개인의 내적욕망을 채워주는 다양한 콘텐츠, 그리고 주변기기나 장치 등, 모든 디지털 교육환경까지를 의미한다. 변화란 인간의 욕구에 따라 커스터마이징하는 것이다. 그러한 점에서 급변하는 세상의 변화에 다양한 가치를 추구하고자 하는 교육에 대한 인간의 욕망을 실현하기 위해 개인화된 통합 방송 디지털 미디어, 유비쿼터스 홈 네트워킹과 기술, 그에 따른 다양한 교육 콘텐츠의 통합 개발은 이제 절실한 과제가 되고 있다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.1
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• pp.215-223
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• 2019

The recent trend of cyber attack threat is mainly APT (Advanced Persistent Threat) attack. This attack is a combination of hacking techniques to try to steal important information assets of a corporation or individual, and social engineering hacking techniques aimed at human psychological factors. Spear phishing attacks, one of the most commonly used APT hacking techniques, are known to be easy to use and powerful hacking techniques, with more than 90% of the attacks being a key component of APT hacking attacks. The existing research for cyber security threat defense is mainly focused on the technical and policy aspects. However, in order to preemptively respond to intelligent hacking attacks, it is necessary to study different aspects from the viewpoint of social engineering. In this study, we analyze the correlation between human personality type (DISC) and cyber security threats, focusing on spear phishing attacks, and present countermeasures against security threats from a new perspective breaking existing frameworks.

• Journal of Korea Game Society
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• v.3 no.1
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• pp.74-85
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• 2003

If the game characters in the cyber world speak the same dialogues as in the real world, it will give game players more fun and realism. And game players are more and more immersed into the cyber space. However, we observed that only simple and primitive dialogues are used at the market places in most MMORPGS. We introduce personality psychology theory for generating the personality of NPC in MMORPG. And we suggest how to make a conversation between PC (Playable Character) and NPC (Non - Playable Character) according to 'Extroversion - Introversion dimension' and 'Neuroticism dimension'. And we implement the personality dialogue generation program, which is composed of two parts. One is for generating personality, and the other for making dialogue. Personality generator can set a NPC's personality automatically, and Dialogue Maker can control the dialogue styles, quantities, and characteristics of NPC. Thus, the program implemented in this paper can help game designer and scenario writer to make game characters easily. The approach in this paper can be applied to generate various game characters and used to represent agents and avatars of real-time animation.

• The Journal of the Korea Contents Association
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• v.16 no.3
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• pp.184-197
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• 2016

This study investigates human-robot interactions in a museum environment. Unlike robots in movies, robots in real life do not have 'personality,' but instead have a specific purpose and function. This research is primarily about the assignment of specific and appropriate personalities to robots in different contexts. Methods by which a definite personality can be imparted on a robot are discussed in this research. Previous research has addressed attempts to assign a robot personality based on the task context. However, the discussion of robot personality is incomplete. Therefore, we assumed that a robot's character was dependent on the characteristics of its location of use. We planned a $2{\times}2$ comparison of various robot personalities, i.e., introverted or extroverted paired with either a traditional museum or a process-oriented experiential experience. Based on Schmitt's (1999) strategic experiential modules, experiential factors were derived for each set of conditions. To achieve the objectives of the research, theoretical and empirical research were conducted simultaneously. The software JMP 9 was used to verify the research model and hypotheses.

• Proceedings of the KAIS Fall Conference
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• 2011.05b
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• pp.888-891
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• 2011

원만한 인간관계를 유지하기 위해 대화는 필수적인 요소이며 대화를 할 때 대체로 상대방의 눈이나 입을 주시하게 된다. 사람들은 대화를 할 때 상대방이 무슨 생각을 하는지를 눈빛, 입모양 등을 통해서 직감적으로 파악하는 방법에 의존한다. 그러나 제스처를 취하는 경우는 드물고 눈빛은 보더라도 상대방의 의도를 잘 파악하지 못하는 경우가 대부분이다. 따라서 본 논문에서는 입술 형태를 추출하고 이를 분석하여 5대 성격과의 상관관계를 연구하는 실험을 수행하였다. 이를 위해 측면 얼굴 영상을 입력자료로 사용하여 입술의 형태에 따른 피실험자 집단을 분류하고 5대 성격을 분석하기 위한 표준 설문지를 통해 무표정 상태의 입술 모양에 따른 성격을 파악하는 연구를 수행하였다.

• Journal of Intelligence and Information Systems
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• v.27 no.3
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• pp.231-252
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• 2021

Artificial intelligence (AI) is a key technology that will change the future the most. It affects the industry as a whole and daily life in various ways. As data availability increases, artificial intelligence finds an optimal solution and infers/predicts through self-learning. Research and investment related to automation that discovers and solves problems on its own are ongoing continuously. Automation of artificial intelligence has benefits such as cost reduction, minimization of human intervention and the difference of human capability. However, there are side effects, such as limiting the artificial intelligence's autonomy and erroneous results due to algorithmic bias. In the labor market, it raises the fear of job replacement. Prior studies on the utilization of artificial intelligence have shown that individuals do not necessarily use the information (or advice) it provides. Algorithm error is more sensitive than human error; so, people avoid algorithms after seeing errors, which is called "algorithm aversion." Recently, artificial intelligence has begun to be understood from the perspective of the augmentation of human intelligence. We have started to be interested in Human-AI collaboration rather than AI alone without human. A study of 1500 companies in various industries found that human-AI collaboration outperformed AI alone. In the medicine area, pathologist-deep learning collaboration dropped the pathologist cancer diagnosis error rate by 85%. Leading AI companies, such as IBM and Microsoft, are starting to adopt the direction of AI as augmented intelligence. Human-AI collaboration is emphasized in the decision-making process, because artificial intelligence is superior in analysis ability based on information. Intuition is a unique human capability so that human-AI collaboration can make optimal decisions. In an environment where change is getting faster and uncertainty increases, the need for artificial intelligence in decision-making will increase. In addition, active discussions are expected on approaches that utilize artificial intelligence for rational decision-making. This study investigates the impact of artificial intelligence on decision-making focuses on human-AI collaboration and the interaction between the decision maker personal traits and advisor type. The advisors were classified into three types: human, artificial intelligence, and human-AI collaboration. We investigated perceived usefulness of advice and the utilization of advice in decision making and whether the decision-maker's personal traits are influencing factors. Three hundred and eleven adult male and female experimenters conducted a task that predicts the age of faces in photos and the results showed that the advisor type does not directly affect the utilization of advice. The decision-maker utilizes it only when they believed advice can improve prediction performance. In the case of human-AI collaboration, decision-makers higher evaluated the perceived usefulness of advice, regardless of the decision maker's personal traits and the advice was more actively utilized. If the type of advisor was artificial intelligence alone, decision-makers who scored high in conscientiousness, high in extroversion, or low in neuroticism, high evaluated the perceived usefulness of the advice so they utilized advice actively. This study has academic significance in that it focuses on human-AI collaboration that the recent growing interest in artificial intelligence roles. It has expanded the relevant research area by considering the role of artificial intelligence as an advisor of decision-making and judgment research, and in aspects of practical significance, suggested views that companies should consider in order to enhance AI capability. To improve the effectiveness of AI-based systems, companies not only must introduce high-performance systems, but also need employees who properly understand digital information presented by AI, and can add non-digital information to make decisions. Moreover, to increase utilization in AI-based systems, task-oriented competencies, such as analytical skills and information technology capabilities, are important. in addition, it is expected that greater performance will be achieved if employee's personal traits are considered.

• Journal of Animal Science and Technology
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• v.50 no.2
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• pp.273-278
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• 2008

There have been studies about dog’s personality and behavior, which is helpful to breed dogs as guide or companion. In this study, a questionnaire was developed using 54 Jindo dogs, which considered ten items about aggressiveness and sociability. The scores were analyzed by principle component analysis (PCA), after accounting for four variables: age, gender, growing place, and coat-colors. Our results from the PCA indicated three principle components, which classified ‘aggressiveness’, ‘sociability’ and unknown factor. The four variables did not significantly affect aggressiveness(P>0.05). However, there was a relationship between coat-color and sociability, i.e., the Jindo dogs with fawn color were more sociable than the white ones(P<0.1).

• Science of Emotion and Sensibility
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• v.15 no.4
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• pp.503-516
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• 2012

According to the researches of robot and software agent until now, computational emotion model is dependent on system, so it is hard task that emotion models is separated from existing systems and then recycled into new systems. Therefore, I introduce the Engine of computational Emotion model (shall hereafter appear as EE) to integrate with any robots or agents. This is the engine, ie a software for independent form from inputs and outputs, so the EE is Emotion Generation to control only generation and processing of emotions without both phases of Inputs(Perception) and Outputs(Expression). The EE can be interfaced with any inputs and outputs, and produce emotions from not only emotion itself but also personality and emotions of person. In addition, the EE can be existed in any robot or agent by a kind of software library, or be used as a separate system to communicate. In EE, emotions is the Primary Emotions, ie Joy, Surprise, Disgust, Fear, Sadness, and Anger. It is vector that consist of string and coefficient about emotion, and EE receives this vectors from input interface and then sends its to output interface. In EE, each emotions are connected to lists of emotional experiences, and the lists consisted of string and coefficient of each emotional experiences are used to generate and process emotional states. The emotional experiences are consisted of emotion vocabulary understanding various emotional experiences of human. This study EE is available to use to make interaction products to response the appropriate reaction of human emotions. The significance of the study is on development of a system to induce that person feel that product has your sympathy. Therefore, the EE can help give an efficient service of emotional sympathy to products of HRI, HCI area.