• 한국가정과학회지
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• 제9권1호
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• pp.15-24
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• 2006

The early childhood is a pivotal period for the development of creativity since creative imaginary is rich at the age from 4 to 4.5 years old, The purpose of this study is to examine the relationships between children's creativity, playfulness and multiple intelligence. 91 children(41 boy, 50 girls) attending preschool in jeon-ju city were participated in this research, The age of children was 6 years(average 73.7 months), After collecting the data to find the connections between children's creativity, playfulness and multiple intelligence from the subjects' data using the SPSS WIN 10.0 program, along with t-test, ANOVA and Pearson's correlation in this paper. 1. There was significant correlation between children's playfulness and creativity. Intelligence spontaneousness the element of the playfulness has a correlation with Creativity strengths, Elaboration. In addition, Resistance to Premature Closure has a correlation with social spontaneity, And Originality has a correlation with the Expression of Pleasure the element of the playfulness, 2. There was a significant positive correlation between children's multiple intelligence(MI) and creativity, Fluency the element of creativity has a correlation with Interpersonal intelligence the element of multiple intelligence: And Originality has a correlation with Bodily-kinesthetic intelligence, Intrapersonal intelligence the element of MI. In addition, Abstraction of Titles has a correlation with Intrapersonal intelligence. 3. There was a little correlation between children's MI and playfulness. The Expression of Pleasure has a correlation with bodily-kinesthetic intelligence, Based on the current study, the relationships between creativity, playfulness, and multiple intelligence could be identified. Especially, creativity was significantly correlated with playfulness and multiple intelligence of early childhood. Therefore, it was found that creativity of toddler might be essential factor for the development of toddler's cognitivity.

• 트랜스-
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• 제12권
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• pp.1-19
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• 2022

본 연구는 기계에 의한 안무가 시작된 오늘날 인공지능이 무용예술에 가져올 변화를 예측하고 문제를 제기하며 인간예술가로서 우리가 할 수 있는 질문을 찾는 시론적 성격을 지닌다. 연구는 기계창작예술 시대에서 무용이 처할 수 있는 위기 중 하나로 인공지능이 인간 안무가의 도구에 머무는 것이 아니라 안무의 주체가 됨으로써 인간 무용수를 조종하고 제한하는 힘을 갖게 되는 것임을 안무의 정치 담론을 토대로 제시한다. 이는 인공지능이 안무의 영역을 장악하고, 인간 안무가는 무능한 관조자에 머물게 됨으로써 결과적으로 무용수의 춤추는 몸은 인공지능에 의해 통제되고 조종되는 기계적인 몸으로 전락하게 될 수 있다는 위기의식에서 비롯한다. 이러한 우려가 현실이 되지 않기 위해서, 본 연구는 세 가지의 방안을 제안한다. 첫째, 안무가 및 무용수는 인공지능 예술 시대를 살아가기 위한 디지털 리터러시 역량을 키워야하며 둘째, 안무가는 창작 작업에 있어 인간 안무가와 무용수, 그리고 인공지능의 역할을 정확히 구분하는 능력을 획득해야 하고 셋째, 무용과 기술의 상호매체적 연구가 활발하게 수행됨으로써 인공지능 무용에 관한 다양한 층위의 담론이 형성되어야 한다. 이러한 노력들을 통해 인간 무용가는 인공지능 기술의 혁신이 불러올 새로운 무용 생태계에서 수동적인 관조자가 아닌 예술의 주체로 존재하며 인공지능과 창의적이고 생산적으로 공존하는 시대를 맞이할 수 있을 것이다.

• 한국생활과학회지
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• 제13권2호
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• pp.237-250
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• 2004

This study explored the effects of emotional intelligence and sense of humor in institutionalized and at-home children on their aggressive behavior by using a path model. The participants in this study were 62 institutionalized children and 98 children reared at home, residing in an undisclosed city. The institutionalized children had a lower level of emotional intelligence and sense of humor than children at home. Also, the institutionalized children had a higher level of aggressive behavior than at-home children. Effects of emotional intelligence and sense of humor on the aggressive behavior were significantly different between institutionalized and at-home children.

• 대한조선학회지
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• 제25권1호
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• pp.56-62
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• 1988

Artificial Intelligence(AI) is that branch of computer science that deals with designing computer system that exhibit some of the characteristics associated with intelligence on human behaviors such as, understanding natural language, reasoning, solving problems, robotics and so on. The most developed component of artificial intelligence today is probably the expert system. An expert system is defined as a computer program that embodies organized knowledge concerning some specific domain of human expertise and programmed to perform convincingly as an advisory consultant in the given domain with self-explanation of reasoning on demand. This paper describes general concept of artificial intelligence and expert system and investigates applicability of expert system to ship design.

• 디지털산업정보학회논문지
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• 제15권3호
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• pp.15-28
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• 2019

Artificial intelligence is evolving rapidly in the ICT field, smart convergence media system and content industry through the fourth industrial revolution, and it is evolving very rapidly through Big Data. In this paper, we propose a face recognition method based on object recognition based on object recognition through artificial intelligence. In this method, Were experimented and studied through the object recognition technique of artificial intelligence. In the conventional 3D image field, general research on object recognition has been carried out variously, and researches have been conducted on the side effects of visual fatigue and dizziness through 3D image. However, in this study, we tried to solve the problem caused by the quantitative difference between object recognition and object recognition for human factor algorithm that measure visual fatigue through cognitive function, morphological analysis and object recognition. Especially, The new method of computer interaction is presented and the results are shown through experiments.

• 항공우주의학회지
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• 제31권2호
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• pp.33-37
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• 2021

In the era of the 4th industrial revolution, the aviation industry is also growing remarkably with the development of artificial intelligence and networks, so it is necessary to study a new concept of crew resource management (CRM), which is required in the process of operating state-of-the-art equipment. The automation system, which has been treated only as a tool, is changing its role as a decision-making agent with the development of artificial intelligence, and it is necessary to set clear standards for the role and responsibility in the safety-critical field. We present a new perspective on the automation system in the CRM program through the understanding of the autonomous system. In the future, autonomous system will develop as an agent for human pilots to cooperate, and accordingly, changes in role division and reorganization of regulations are required.

• 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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• 한국정보과학회언어공학연구회 2021년도 제33회 한글 및 한국어 정보처리 학술대회
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• pp.496-497
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• 2021

감정 분류는 사람의 사고방식이나 행동양식을 구분하기 위한 중요한 열쇠로, 지난 수십 년간 감정 분석과 관련된 다양한 연구가 진행되었다. 감정 분류의 품질과 정확도를 높이기 위한 방법 중 하나로 단일 레이블링 대신 다중 레이블링된 데이터 세트를 감정 분석에 활용하는 연구가 제안되었고, 본 논문에서는 T5 모델을 한국어와 영어 코퍼스로 학습한 KE-T5 모델을 기반으로 한국어 발화 데이터를 단일 레이블링한 경우와 다중 레이블링한 경우의 감정 분류 성능을 비교한 결과 다중 레이블 데이터 세트가 단일 레이블 데이터 세트보다 23.3% 더 높은 정확도를 보임을 확인했다.

• Journal of Digestive Cancer Research
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• 제12권1호
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• pp.38-43
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• 2024

Artificial Intelligence (AI) is the intelligence of machines or software, in contrast to human intelligence. Generative AI technologies, such as ChatGPT, have emerged as valuable research tools that facilitate brainstorming ideas for research, analyzing data, and writing papers. However, their application has raised concerns regarding authorship, copyright, and ethical considerations. Many organizations of medical journal editors, including the International Committee of Medical Journal Editors and the World Association of Medical Editors, do not recognize AI technology as an author. Instead, they recommend that researchers explicitly acknowledge the use of AI tools in their research methods or acknowledgments. Similarly, international journals do not recognize AI tools as authors and insist that human authors should be accountable for the research findings. Therefore, when integrating AI-generated content into papers, it should be disclosed under the responsibility of human authors, and the details of the AI tools employed should be specified to ensure transparency and reliability.

• International Journal of Computer Science & Network Security
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• 제21권6호
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• pp.245-251
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• 2021

This work aims to focus on the current features and characteristics of Human Element and Artificial intelligence (AI), ask some questions about future information security, and whether we can avoid human errors by improving machine learning and AI or invest in human knowledge more and work them both together in the best way possible? This work represents several related research results on human behavior towards information security, specified with elements and factors like knowledge and attitude, and how much are they invested for ISA (information security awareness), then presenting some of the latest studies on AI and their contributions to further improvements, making the field more securely advanced, we aim to open a new type of thinking in the cybersecurity field and we wish our suggestions of utilizing each point of strengths in both human attributions in software security and the existence of a well-built AI are going to make better future software security.

• 트랜스-
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• 제16권
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• pp.107-133
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• 2024

내러티브는 인간의 인지와 사회 문화의 기본이며 개인과 사회가 의미를 구성하고 경험을 공유하며 문화적, 도덕적 가치를 전달하는 주요 수단으로 사용된다. 인간의 사고와 행동을 모방하려는 인공지능 분야에서는 오랫동안 스토리 생성과 스토리 이해에 관해서 연구해 왔으며, 오늘날 대규모 언어 모델은 발전된 자연어 처리 기술을 바탕으로 괄목할 만한 서사적 능력을 보여주고 있다. 이런 상황은 다양한 변화와 새로운 문제를 제기하지만 이에 대한 포괄적인 논의를 찾아보기는 어렵다. 본 논문은 인간과 AI의 서사 지능의 교차점과 상호작용을 살펴봄으로써 현재의 상태와 미래의 변화에 대한 전체적인 조망을 제공하는 것을 목표로 한다. 먼저 호모 나랜스라는 용어로 대변되는 인간과 내러티브의 본질적 관계에 관한 다학제적 연구를 살펴보고, 인공지능 분야에서 내러티브에 관한 연구가 어떻게 이루어져 왔는지를 역사적으로 살펴본다. 그리고 오늘날 대규모 언어 모델이 보여주는 서사 지능의 가능성과 한계를 살펴보고, 서사 지능을 갖춘 AI가 갖는 함의를 파악하기 위한 세 가지 철학적 과제를 제시한다.