• Journal of The Korean Association of Information Education
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• v.9 no.4
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• pp.673-684
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• 2005

In this research, we have developed a "computer tutor" that mimics the human tutor with animated tutoring dialog agent and the agent was integrated to teaching-learning material for elementary science subject. The developed system is a natural language based teaching-learning system using one-to-one dialogue. The developed pedagogical dialogue teaching-learning system analysis student's answer then provides appropriate answer or questions after comparing the student's answer with elementary school level achievement. When the agent gives either question or answer it uses the TTS(Text-to-Speech) function. Also the agent has an animated human tutor face for providing more human like feedback. The developed dialogue interface has been applied to 64 6th grade students. The test results show that the test group's average score is higher than the control group by 10.797. This shows that unlike conventional web courseware, our approach that "ask-answer" process and the animated character, which has human tutor's emotional expression, attracts students and helps to immerse to the courseware.

• Journal of Ethics
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• no.75
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• pp.63-98
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• 2009

The Social Conflict Index in Korea is considerably high. In the situation where both parties' interests conflict each other, Korean society has shown immature democracy, which couldn't peacefully resolve the conflict because of the lack of tolerance against the counterparty's position. In terms of upbringing educated citizens, who could democratically communicate with others and approach problems, communication skill training is very important, reducing social costs by extreme conflict. Thus, this paper studied the necessity of communication skills training and its sociopolitical implication through case studies about "Communication and Negotiation" class, which is proceeded under university liberal education. Under current university curriculums, increased liberal education programs, related with speaking, focus on cultivating logical and critical thinking in the main. Based on these thinking skills, "Communication and Negotiation" has important implication in terms of cultivating mindset which resolves conflicts and considers other's position by collaborative and emotional perspectives. In terms of cultivating practical communication skills, this "Communication and Negotiation" class requires the change of teaching skills with various training programs, under students' active participation and feedback in the class exercise for resolving problems. Ultimately, through "Communication and Negotiation" class, and as members of society, students could learn matured citizenship and sense of responsibility by respecting others' position and reasonably resolving conflicts.

• Science of Emotion and Sensibility
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• v.21 no.1
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• pp.59-70
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• 2018

With the breakthrough of speech recognition technology, conversational agents have become pervasive through smartphones and smart speakers. The recognition accuracy of speech recognition technology has developed to the level of human beings, but it still shows limitations on understanding the underlying meaning or intention of words, or understanding long conversation. Accordingly, the users experience various errors when interacting with the conversational agents, which may negatively affect the user experience. In addition, in the case of smart speakers with a voice as the main interface, the lack of feedback on system and transparency was reported as the main issue when the users using. Therefore, there is a strong need for research on how users can better understand the capability of the conversational agents and mitigate negative emotions in error situations. In this study, we applied social strategies, "forewarning" and "apology", to conversational agent and investigated how these strategies affect users' perceptions of the agent in breakdown situations. For the study, we created a series of demo videos of a user interacting with a conversational agent. After watching the demo videos, the participants were asked to evaluate how they liked and trusted the agent through an online survey. A total of 104 respondents were analyzed and found to be contrary to our expectation based on the literature study. The result showed that forewarning gave a negative impression to the user, especially the reliability of the agent. Also, apology in a breakdown situation did not affect the users' perceptions. In the following in-depth interviews, participants explained that they perceived the smart speaker as a machine rather than a human-like object, and for this reason, the social strategies did not work. These results show that the social strategies should be applied according to the perceptions that user has toward agents.

• Journal of Popular Narrative
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• v.25 no.3
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• pp.303-345
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• 2019

This article analyzes the multi-layered communication in the Webtoon Princess Pari, released on the Daum portal site, created (written and illustrated) by Kim Naim, through analyzing the narrative structure and comments with the qualitative / quantitative methodology. The webtoon Princess Pari is structured in an omnibus style in which unit narratives are intermittently articulated, multi-lined, and interconnected. As integrated narratives which link with unitary narratives, Pari's growth story as a shaman and a romance narrative are structured. The classical original story of the shaman was used as a prehistory corresponding to the prequel of the webtoon through a preview, and the writer restructured the narrative to overcome the contradictions of the gender asymmetry and the patriarchal ideology of the original text. The viewer then creates a conversational space by giving critical and reflective comments. According to a statistical analysis conducted through sampling, the types of comments can be classified as follows: Appreciation and criticism of the contents ≫ Emotional response ≫ Intuitive overall review ≫ Knowledge and reflection ≫ Comments on comments. In the process of creation and acceptance of the Webtoon, a multi-layered dialogue between classical and modern, content and audience, acceptance and creation has been at play. In the creation dimension, the writer used a device to fill the gap of mythical symbols of the contents. At the level of the audience, they formed a culture of sharing information, knowledge, and reflection about tradition/folk/culture through comments. This corresponds to classical and modern dialogue through the webtoon. The viewers form a sympathetic bond, attempt hermeneutical coordination, supplement the information, and search for a balanced angle through controversial conversation. In addition, by commenting on attitudes, views, and perspective, the commentators showed a behavioral pattern corresponding to meta-criticism in literature. The viewers' comments acted as feedback on the creation of the webtoons, so that the creation and acceptance itself influenced the production of the content of the webtoon. The webtoon Princess Pari, which was based on Korean classical narrative, has been reorganized onto 'moving and dynamic' content, which leads to sense, thinking, criticism and reflection through the formation of various dialogues.

• Annual Conference of KIPS
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• 2019.10a
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• pp.1151-1152
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• 2019

발달 장애는 신체 및 정신이 해당하는 나이에 맞게 발달하지 않은 상태로, 다른 아동에 비해 신경정신과적 질환 발생 확률이 높기 때문에 발달장애 아동의 치료는 매우 중요하다. 그러나 주관적 판단에 의해 이루어지는 기존 작업치료의 경우, 정량적 성과 지표를 확인하기 힘들고 대상자 스스로 지속적으로 진행하기에 한계가 있다. 본 연구에서는 치료 모델을 가상 공간상에 구현하여 공간에 구애받지 않고 치료를 진행할 수 있으며, 수행 결과에 대한 자료를 정확하고 지속적으로 기록하며 확인할 수 있도록 하였다. 또한, AI 스피커를 통해 치료에 대한 피드백을 줌으로써, 대상자 스스로 실시하여 치료자의 개입을 줄여 심리적 부담을 덜어 더욱 정확한 수행이 이루어지도록 하였다.

• Journal of the Korea Computer Graphics Society
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• v.23 no.3
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• pp.39-46
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• 2017

This study proposes a gaze-based user interface to provide user oriented interaction suitable for the virtual reality environment on mobile platforms. For this purpose, a mobile platform-based three-dimensional interactive content is produced, to test whether the proposed interface increases user satisfaction through the interactions in a mobile virtual reality environment. The gaze-based interface, the most common input method for mobile virtual reality content, is designed by considering two factors: the field of view and the feedback system. The performance of the proposed gaze-based interface is analyzed by conducting experiments on whether or not it offers motives for user interest, effects of enhanced immersion, differentiated formats from existing ones, and convenience in operating content.

• Journal of The Korean Association For Science Education
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• v.43 no.3
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• pp.307-319
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• 2023

This study aims to explain the key concepts and principles of text-based generative artificial intelligence (AI) that has been receiving increasing interest and utilization, focusing on its application in science education. It also highlights the potential and limitations of utilizing generative AI in science education, providing insights for its implementation and research aspects. Recent advancements in generative AI, predominantly based on transformer models consisting of encoders and decoders, have shown remarkable progress through optimization of reinforcement learning and reward models using human feedback, as well as understanding context. Particularly, it can perform various functions such as writing, summarizing, keyword extraction, evaluation, and feedback based on the ability to understand various user questions and intents. It also offers practical utility in diagnosing learners and structuring educational content based on provided examples by educators. However, it is necessary to examine the concerns regarding the limitations of generative AI, including the potential for conveying inaccurate facts or knowledge, bias resulting from overconfidence, and uncertainties regarding its impact on user attitudes or emotions. Moreover, the responses provided by generative AI are probabilistic based on response data from many individuals, which raises concerns about limiting insightful and innovative thinking that may offer different perspectives or ideas. In light of these considerations, this study provides practical suggestions for the positive utilization of AI in science education.

• Journal of Practical Engineering Education
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• v.16 no.4
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• pp.513-520
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• 2024

This study investigates the changes in teachers' roles as the impact of AI on school education expands. Traditionally, teachers have been responsible for core aspects of classroom instruction, curriculum development, assessment, and feedback. AI can automate these processes, particularly enhancing efficiency through personalized learning. AI also supports complex classroom management tasks such as student tracking, behavior detection, and group activity analysis using integrated camera and microphone systems. However, AI struggles to automate aspects of counseling and interpersonal communication, which are crucial in student life guidance. While direct conversational replacement by AI is challenging, AI can assist teachers by providing data-driven insights and pre-conversation resources. Key competencies required for teachers in the AI era include expertise in advanced instructional methods, dataset analysis, personalized learning facilitation, student and parent counseling, and AI digital literacy. Teachers should collaborate with AI to emphasize creativity, adjust personalized learning paths based on AI-generated datasets, and focus on areas less amenable to AI automation, such as individualized learning and counseling. Essential skills include AI digital literacy and proficiency in understanding and managing student data.