• Journal of the Korean Chemical Society
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• v.47 no.5
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• pp.519-529
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• 2003

This study investigated the characteristics of verbal interactions of various small groups based on previous achievement in paired think-aloud problem solving. Two classes of a high school were assigned to the homogeneous and heterogeneous groups, and taught on chemistry. Students from homogeneous groups (high${\cdot}$high, mid？id) and heterogeneous groups (high${\cdot}$mid, high${\cdot}$low) were selected, and their algorithmic problem solving on chemical equation and stoichiometry were audio/video taped. In high${\cdot}$high group, solver's 'require agreement' and listener 'agree' were frequently exhibited. On the other hands, listener's 'point out' and solver's 'modify' were frequently exhibited in mid${\cdot}$mid group, which was also observed in the heterogeneous groups (high${\cdot}$mid, high${\cdot}$low). Many verbal interactions were analyzed to be in symmetrical type. In this type, 'require agreement-agree' of high${\cdot}$high group was the most frequent. 'problem solving-agree' of high${\cdot}$high group was the most frequent in the solver-dominant type, while 'point out-modify' of high${\cdot}$low group in the listener-dominant type. The verbal behaviors related to the solving stage were frequently observed, but there were few related to the reviewing stage.

• Archives of design research
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• v.9
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• pp.1201-1208
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• 1994

During the 1970s, as Los Angeles-based designer April Greiman made her professional way, her work was popularly labeled "New Wave: The term no longer seems to fit. Today, Greiman refers to her brand of design as "hybrid imagery." For combining photography, drawing, video, computer-generated images and typography in her designs, she creates a crossbreed that blends but is unlike any of its parts. To her credit, Greiman was one of the first designers who saw potential in the "textures" of video and computer-based imagery, and was brave enough to integrate this new visual language into the mainstream design work she was creating. She was also one of the designers to use the Macintosh computer as her primary design tool. Despite her pioneering work, she refuses the label of "experimental" designer. She prefers to say she, is interested in process, in layering images to evoke both a thoughtful and emotional response. thoughtful and emotional response.

• The KIPS Transactions:PartD
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• v.15D no.1
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• pp.61-72
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• 2008

One of the most significant tasks of software development project is to know how much it will be the software development cost in the early stage of software development cycle. The software development environment and technology are changing very rapidly. For accuracy, we should apply those to the software cost estimation. And it is important that we select the suitable adjustment factor and the value of a suitable adjustment factor. For that, this paper have applied the method of AHP. And we have also analyzed the sensitivity of the adjustment factor which is influenced by decision metrics. In conclusion, the value of the application type adjustment factor is responded more sensitively to the data complexity and the control complexity than processing complexity. And the value of the language adjustment factor is responded more sensitively to the supplying manpower and the time of the coding than the time of the debugging. In the future, we will research the selection of an additional adjustment factor and a suitable value of the adjustment factor which are influenced by the environment and the technology of the domestic software development. And then, in the language adjustment factor, we will try to calculate the value about the individual programming language.

• The Journal of the Korea Contents Association
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• v.21 no.1
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• pp.321-332
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• 2021

This study developed an English conversation learning program using virtual reality(VR) and mobile devices. Participants learned and practiced English conversational patterns in immersive virtual reality and mobile conditions. In the program, participants learned and practiced nine conversational patterns with virtual characters in four steps. Language anxiety and conversational fluency were measured to examine the effects of this program. Language anxiety questionnaire was administered before and after the experiment. The results showed that language anxiety was significantly reduced after learning in both conditions, and the reduction waa significantly greater in the immersive condition. Conversational fluency was assessed based on the changes in the length, appropriateness, and accuracy of the responses before and after participants learned and practiced conversational episodes. The results showed that the length, appropriateness, and accuracy of the responses were improved in both conditions after learning. The response length was significantly longer in the immersive VR conditions. These results suggest that immersive VR can be an effective tool to enhance English conversational abilities.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.5
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• pp.913-918
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• 2006

Patients of dyslexia have an reading disorder marked by the occurrence of semantic errors. Because there is little understanding of dyslexia in korea, we use a translation version of foreign tester for testing the patients of dyslexia. However, the foreign testers is not suitable for testing the korean patients, because language is sensitive to national culture and trait. In this paper, we propose a model of tester for dyslexia Which is used for classification and analysis of korean patients. In addition, we show some characteristics of the implemented tester by a performance study.

• Journal of The Korean Association of Information Education
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• v.19 no.1
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• pp.113-126
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• 2015

This study intends to investigate the features and the difference between traditional instruction and flipped learning through a comparative analysis of verbal interaction on those learning method. The videos of traditional instruction and flipped learning of 5th graders social class were recorded and transcribed, which were analyzed in Flanders verbal interaction model. The results were as follows: First, the flipped learning is composed of students' learning activity and a teacher's statement properly, while the traditional instruction consists of a teacher's statement mostly. Second, the traditional instruction tends to be directive classes that full of dominant, despotic, restrictive communication of teacher oriented. In contrast, the flipped learning is inclined to be nondirective with integrated, democratic, comprehensive, permissive communication of students oriented. Third, the flipped learning emphasizes students' activities and statement and reduces delivery of knowledge, meanwhile, the traditional instruction stresses delivery of content that the teacher centrally located. Lastly, the type of verbal interaction in traditional instruction is a one-way communication, students responding simply in teacher's lectures and questions. On the other hand, in flipped learning lessons, more interactive communication occurs, teachers complimenting students and accepting their comments.

• Korean Journal of Cognitive Science
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• v.35 no.1
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• pp.23-48
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• 2024

Building human-aligned artificial intelligence (AI) for social support remains challenging despite the advancement of Large Language Models. We present a novel method, the Chain of Empathy (CoE) prompting, that utilizes insights from psychotherapy to induce LLMs to reason about human emotional states. This method is inspired by various psychotherapy approaches-Cognitive-Behavioral Therapy (CBT), Dialectical Behavior Therapy (DBT), Person-Centered Therapy (PCT), and Reality Therapy (RT)-each leading to different patterns of interpreting clients' mental states. LLMs without CoE reasoning generated predominantly exploratory responses. However, when LLMs used CoE reasoning, we found a more comprehensive range of empathic responses aligned with each psychotherapy model's different reasoning patterns. For empathic expression classification, the CBT-based CoE resulted in the most balanced classification of empathic expression labels and the text generation of empathic responses. However, regarding emotion reasoning, other approaches like DBT and PCT showed higher performance in emotion reaction classification. We further conducted qualitative analysis and alignment scoring of each prompt-generated output. The findings underscore the importance of understanding the emotional context and how it affects human-AI communication. Our research contributes to understanding how psychotherapy models can be incorporated into LLMs, facilitating the development of context-aware, safe, and empathically responsive AI.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.179-184
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• 2023

본 연구는 우울감을 느끼거나 대화 상대 부재로 어려움을 겪는 사용자와 정서 교감형 시스템간의 대화로 구성된 한국어 데이터 셋을 구축하고 이때 시스템이 사용할 수 있는 효과적인 응대 전략을 제안하는데 목적이 있다. 데이터셋은 사용자와 시스템 간의 대화 쌍을 기본 단위로 하며, 사용자의 7가지 기본 감정(행복, 슬픔, 공포, 놀람, 분노, 혐오, 중립)과 시스템의 4가지 응대 전략(명료화, 공감적 응대, 제안, 페르소나)에 따라 주석이 된다. 이 중, 공감적 응대 전략은 10가지 독특한 반응 유형(수용적 경청, 후행 발화 요청, 승인/동의, 비승인/재고 요청, 놀람, 격려, 느낌 표시, 상대 발화 반복, 인사, 의견 제시) 및 4가지 후행 발화 요청 유형(무엇, 왜, 어떻게, 그밖에)을 포함하는 구조로 구체화되었다. 이러한 주석은 시스템이 사용자의 다양한 감정을 식별하고 적절한 공감 수준을 나타내는 응답을 생성하는 데 있어 연구적인 의의가 있으며, 필요시 사용자가 부정적 감정을 극복할 수 있는 활동을 제안하는 데 도움을 줄 수 있다는 점에서 실제적인 의의가 있다.

• Science of Emotion and Sensibility
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• v.26 no.3
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• pp.115-128
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• 2023

This study examines the effects of a new app-based intervention program for conversational skills of children with high-functioning autism spectrum disorder (ASD). Participants in this study comprised 26 children diagnosed with autism, Asperger's syndrome, or pervasive developmental disorder-not otherwise specified (PDD-NOS). Participants were randomly assigned into a treatment group or a control group according to their ages, IQ, SCQ, and ASSQ scores. The treatment group met with teachers once a week for a single non-face-to-face class for nine weeks, along with conversation training at home using an app. The control group did not participate in any specific programs for conversational skills. Conversation data of all participants were collected before and after the intervention to compare the two groups based on changes in the conversational turn-taking and topic manipulation skills. When analyzed with respect to a Group X Period analysis of variance (ANOVA), the data indicated maintenance on the rate of appropriate listener's verbal responses in the treatment group, whereas the rate of inappropriate listener's verbal response significantly declined in the control group. In addition, the rate of conversation initiation and maintenance and the rate of appropriate initiation improved in the treatment group, whereas the rate of inappropriate initiation declined in this group. Overall, the study demonstrates promising effects of the novel App-based digital intervention on verbal conversational skills in children with high function ASD.

• Korean Journal of Cognitive Science
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• v.6 no.2
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• pp.81-95
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• 1995

Intelligent courseware predicts the status of student diagnosing student diagnosing student's response and performs an adaptive tutoring based on the student model.This paper designs an authoring tool that supports dyanmic sequence control of tutoring.And also it defines a lesson description language for the dynamic control sequence.Using this language we can represent a control sequence of courseware statically and dynamically.We apply the proposed tool for controlling sequence of C language courseware and show the usability of the proposed system.