• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.771-785
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• 2013

The purposes of this study were 1) to explore the differences in career competency and career preparation behavior in accordance with high school students' work experience types and 2) to examine the interaction effects between work experience type and sex or work experience type and grades. Three work experience types were classified as no work experience, positive work experience, and negative work experience. The study used the data from "2009 Youth Career? Occupation Survey" conducted in the National Youth Policy Institute. For the statistical analysis, two-way MANOVA was employed. The results indicated that female students had higher levels of career competency and career preparation than male students. Also, female students showed higher negative effects of negative work experience compared to male students. The analysis confirmed the interaction effects between work experience types and sex. Female students showed the higher negative effects of negative work experience than no work experience, whereas work experience, whether or not it is negative, was helpful for male students in career competency and career preparation behavior.

• The KIPS Transactions:PartB
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• v.12B no.2 s.98
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• pp.209-214
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• 2005

The use of protein interaction data is highly reliable for predicting functions to proteins without function in proteomics study. The computational studies on protein function prediction are mostly based on the concept of guilt-by-association and utilize large-scale interaction map from revealed protein-protein interaction data. This study compares graph-based approaches such as neighbor-counting and $\chi^2-statistics$ methods using protein-protein interaction data and proposes an approach that is effective in analyzing large-scale protein interaction data. The proposed approach is also based protein interaction map but sequence similarity and heuristic knowledge to make prediction results more reliable. The test result of the proposed approach is given for KDD Cup 2001 competition data along with those of neighbor-counting and $\chi^2-statistics$ methods.

• 한국정보교육학회:학술대회논문집
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• 2006.01a
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• pp.301-306
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• 2006

본 논문의 목적은 HCI 이론에 근거하여 교육용 웹 코스웨어 개발에 중요한 요소인 인간과 컴퓨터의 상호작용에 기반한 연구를 통해 HCI 기반의 효율적인 웹 코스웨어의 설계 방안을 마련하고자 한다. HCI가 최종적으로 달성하고자하는 목표는 해당 시스템을 사용하는 사람들에게 최적의 경험을 제공하는 것이며 시스템 개발에서 최적의 경험은 유용성(usefulness), 사용성(usability), 감성(affect)의 조건에 있다. 교육용 웹 코스웨어를 설계할 때 HCI 이론의 중요한 요소인 사용자 인터페이스를 고려하고 학습자와의 상호작용을 극대화시킬 수 있는 설계 지침을 제시하여 학습자들이 편리하고 즐겁게 학습에 임할 수 있는 웹 코스웨어 설계의 기초자료로서 도움이 될 수 있을 것이다.

• Korean Journal of Child Studies
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• v.31 no.1
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• pp.219-234
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• 2010

This study examined the influence of mothers' reading and scaffolding behaviors on children's emotional experiences and memory recall during picture book reading. Sixty children, aged 6 and their mothers participated in this study. Each child-mother dyad was observed in a lab setting which was designed to evaluate child-mother interactions during a picture book reading. The data were analyzed using correlation and multiple regression techniques. Our results indicated that mothers' task-oriented reading behavior affected the children's lack of positive emotions, whereas mothers' fun-oriented reading behavior was associated with the children's positive emotions. The task-oriented reading behavior also accounted for children's poor memory performance in relation to the book. These results were discussed in terms of the relationship between emotion and cognition through book reading experiences.

• The Journal of the Korea Contents Association
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• v.15 no.9
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• pp.233-242
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• 2015

This study was carried out as a preliminary study to analyze how emotion(depression and anxiety) after spouse bereavement in old age affects social interaction and to set a direction of developing programs based on the cause and period of bereavement to promote social interaction for those bereaved people. To that end, welfare facilities and schools for the elderly and churches located in Seoul, and Suwon and Osan areas were visited and surveys were executed on 350 aged people who had experienced spouse bereavement from September 26 through October 25, 2014. Analysis was executed for 325 questionnaires out of the total of 350 using SPSS WIN 20. Study findings are as follows: first, the average of emotion and social interaction due to bereavement was not significantly different between groups; second, the average of emotion and social interaction due to bereavement period was not significantly different between groups; third, the impact of bereavement type and period statistically significant. These findings implies that social interaction programs for the aged people can be developed regardless of bereavement cause or period.

• Journal of Industrial Convergence
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• v.19 no.1
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• pp.53-63
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• 2021

As tourists travel to other regions, they encounter numerous facts that conflict with their views. At that time, we change our view of coping with life. In this respect, tourism is a new way of learning. As a new learning method, tourism experience research is a new approach. In this study, the relationship between experience and learning experienced in tourist destinations was analyzed by applying the activity theory. The analysis units applied in the activity theory were set as subjects, goals, communities, roles, methods and rules, outcomes, and relevance to local communities. Based on this, in-depth interviews were conducted with commentators and guides who had a great influence on the tourism experience to analyze the learning process of tourists. As a result of the analysis, the experiences of tourists during the tour were interactive in various forms within the unit as well as the unit of the activity system of the commentator and guide. This interaction induces changes in the tourism experience activity system, enabling tourists to learn. The content is that the value of learning increases as the role of guide and commentator increases, that the social and cultural dimension of tourism experience is included in the learning effect, and the contradictions that arise from interactions within or between activity systems. The fact that they find the solution process themselves, and that tourism activity is not an isolated unit, but exists at the intersection of hierarchies and networks, is affected by the activities and environments of others.

• Proceedings of the KAIS Fall Conference
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• 2009.05a
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• pp.507-510
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• 2009

최근 인터넷쇼핑몰은 판매자 중심에서 구매자 중심으로 변화하고 있으며, 새로운 사용자 경험(User Experience)의 요구하고 있다. 본 논문에서는 웹 표준 및 접근성을 고려하여 사용성(Usability)과 효율성을 기반으로 상호작용하는 동적인 Web Application 기술을 적용하여 새로운 사용자 경험(User Experience)을 제공하고 전자상거래의 새로운 패러다임을 제시할 수 있는 사용자(구매자) 및 관리자(판매자)의 동적인 유저인터페이스(UI : User Interface)가 가능한 Web Application을 제언 하는 데에 그 목적이 있다.

• Journal of Convergence for Information Technology
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• v.10 no.6
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• pp.109-118
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• 2020

The purpose of this research is to investigate the effects of interaction, gender, and age on preschool children's intimate relationship with entertainment robot dog. For this purpose, two kinds of experiments were conducted for 70 preschool children in day care centers in Seoul. Experiment 1 relates to the interaction with entertainment robot dog, 34 children aged 5 years (17 experimental groups, 17 comparative groups). Experiment 2 was a study on the effects of gender and age. A total of 36 children (pre- and post-group) of 12 children aged 3, 4, and 5 years old were included. This study interviewed the number of distributions and the motivations for distribution by using the "Dividing Game(Distribution Principle)" interview. As a result, firstly the group experiencing the interaction felt more intimate with the entertainment robot dog, and the reason was emotional factor the most(Experiment 1). Second, gender had no significant effect on entertainment robot dog intimacy and age showed a reverted U-shape. The above results are meaningful in that it reveals what kind of factors affecting the intimacy between the preschooler and entertainment robot dog.

• Journal of the Korean Geotechnical Society
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• v.21 no.2
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• pp.37-46
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• 2005

In the field of earthquake engineering, recent improvements in many areas, such as seismological source modeling, analysis of travel path effects, and characterization of local site effects on strong shaking, have led to significant advances in both code-based and more advanced procedures for evaluating earthquake ground motions. A missing link, however, is empirically verified design procedures fur assessing the effects of soil-structure interaction (SSI). Available Soil-Structure Interaction (SSI) analysis techniques range from simple substructure-type procedures to relatively sophisticated finite element procedures. The most common substructure approach for foundation-soil interaction is to use a frequency-dependent and complex-valued impedance function. This study uniquely evaluates impedance functions for two well-instrumented sites w significant inertial SSI effects using a system Identification technique. The system identification analysis results are then compared to predictions from a simple theoretical model to gain insight into the inertial interaction effect in the subject sites.

• Journal of the Korea Society of Computer and Information
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• v.29 no.3
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• pp.21-41
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• 2024

This study explores the relationship between users' attachment styles and their interactions with ChatGPT (Chat Generative Pre-trained Transformer), an advanced language model developed by OpenAI. As artificial intelligence (AI) becomes increasingly integrated into everyday life, it is essential to understand how individuals with different attachment styles engage with AI chatbots in order to build a better user experience that meets specific user needs and interacts with users in the most ideal way. Grounded in attachment theory from psychology, we are exploring the influence of attachment style on users' interaction with ChatGPT, bridging a significant gap in understanding human-AI interaction. Contrary to expectations, attachment styles did not have a significant impact on ChatGPT usage or reasons for engagement. Regardless of their attachment styles, hesitated to fully trust ChatGPT with critical information, emphasizing the need to address trust issues in AI systems. Additionally, this study uncovers complex patterns of attachment styles, demonstrating their influence on interaction patterns between users and ChatGPT. By focusing on the distinctive dynamics between users and ChatGPT, our aim is to uncover how attachment styles influence these interactions, guiding the development of AI chatbots for personalized user experiences. The introduction of the Perceived Partner Responsiveness Scale serves as a valuable tool to evaluate users' perceptions of ChatGPT's role, shedding light on the anthropomorphism of AI. This study contributes to the wider discussion on human-AI relationships, emphasizing the significance of incorporating emotional intelligence into AI systems for a user-centered future.