• Science of Emotion and Sensibility
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• v.26 no.3
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• pp.69-82
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• 2023

High-tech sensibility textile and fashion, in which consumers' emotions and various textile and fashion technologies are converged, is an important industrial group. It is important to develop the ability to apply in practice by gathering the creative by understanding other fields and exchanging ideas through interdisciplinary collaboration in the field of emotional engineering. Through interdisciplinary research and collaboration, talent must be nurtured of individuals who would lead the era of the 4^th Industrial Revolution with the ability to empathize with others as well as the creative convergence-type intellectual ability necessary for the rapidly changing society. To determine content-creation methods, basic research is conducted. Additionally, this study investigates on the current status and educational process of the emotional textile-fashion industry worldwide. To nurture talents in the textile and fashion sensibility science, the basic contents are created to manage the knowledge that delivers sensibility science and the ICT related to this field, as well as in the intensive, PB-style conceptual design based on sensibility. The process from derivation of consumer emotion analysis and product development can be experienced through smart kit practice. Moreover, various methods are developed to set up intellectual property rights generated while developing ICT convergence products as start-ups. The study also covers new knowledge rights to develop emotional textile fashion.

• International Journal of Contents
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• v.8 no.2
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• pp.36-42
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• 2012

This study was conducted to develop Web-based multimedia content that assists undergraduate students in a clinical practicum on adult nursing. The study examined whether students in the intervention group could obtain clinical knowledge and perform more effectively when encouraged to learn Web content as compared with students in the conventional group. Web-based multimedia content consisting of 13 learning modules was developed based on real patients' scenarios through collaboration among college professors. A total of 120 nursing students (74 for the intervention and 46 for the conventional groups) from two universities in G-city, who engaged in a 3-week long clinical practicum in the digestive and respiratory units of a university hospital, participated in the study. Students' knowledge, self-directed learning, and clinical performance ability were measured using self-administered questionnaires. Data for pre- and posttests were collected over a 2-month period, between May and June of 2009. Clinical knowledge and self-reported clinical performance scores were significantly higher in students using the Web-enhanced clinical practicum than in those in the conventional group. However, there was no significant difference in self-directed learning ability between the 2 groups. These results demonstrate that Web-based multimedia content can be an effective educational tool for enhancing students' clinical knowledge and performance.

• Journal of English Language & Literature
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• v.64 no.1
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• pp.3-24
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• 2018

Stories are important instruments for configuring our cognitive and social worlds, but they do not necessarily make us more caring or less aggressive and self-involved. The ability to tell and follow a story requires cognitive capacities that are basic to the neurobiology of mental functioning, and so it would stand to reason that our experiences with stories would draw on and re-shape patterns of interaction that extend beyond the immediate experience of reading or listening to a narrative. Our intuitive, bodily-based ability to understand the actions of other people is fundamental to social relations, including the circuit between the representation of a configured action emplotted in a narrative and the reader's or listener's activity of following the story as we assimilate its patterns into the figures that shape our worlds. The activity of following a narrative can have a variety of beneficial or potentially noxious social consequences, either promoting the shared intentionality that neurobiologically oriented cultural anthropologists identify as a unique human capacity supporting culturally productive collaboration, or habitualizing and thereby naturalizing particular patterns of perception into rigid ideological constructs. The doubling of "me" and "not-me" in narrative acts of identification may promote the "we-intentionality" that makes socially beneficial cooperation possible, or it can set off mimetic conflict and various contagion effects. Neuroscience cannot predict what the social consequences of narrative will be, but it can identify the brain- and body-based processes through which (for better or worse) stories exercise social power.

• 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.

• Korean Journal of Social Welfare
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• v.62 no.1
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• pp.155-183
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• 2010

Despite the increase in the demands on collaboration between health and social welfare, the success of such schemes have been limited. The extant literatures tends to be dominated by explanations for needs or short-term outcomes of collaboration rather than systematic follow-up research to apply to the frontline. At the same time, there is no attempt to apply the theories related to collaboration in order to discuss the situation. This study explores the factors hindering such collaborative working in the frontline, through semi-structured interviews with practitioners involved in two pilot projects. A theoretical framework (Equilibrium Model-Sensemaking, E-S model) which combined Equilibrium Model of 'Interorganizational Network' of Benson(1975) and 'Sensmaking' of Weick(1995) for conceptualiing aspects of collaborations such as working atmosphere and agency was applied to the empirical study of the Public Health and Welfare Office(1995-1999) and the Social Welfare office(2004-2006) pilot projects. Data were collected over three months from 8 pilot project areas with practitioners and managers from health and social welfare. The findings show significant regional differences between pilot areas, such as the presence of active leaders and co-location, had a major impact on the ability of practitioners to effectively integrate services. In other words, active leaders tended to influence practitioners' motivation, while co-location encouraging communication between both practitioners, and thus seemed to influence the practices of collaborative working. Furthermore, through E-S model, it is interpreted that this kind of positive experiences about collaborations may impact on the current practitioners' comprehensive perspective towards health and social welfare services in general. The findings could help policy makers consider the practical ways to break down the barriers between health and social welfare.

• Journal of Gifted/Talented Education
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• v.25 no.5
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• pp.697-709
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• 2015

This paper aims at shaping remote observatory system environment for schools, developing astronomical observation program using that system and applying it to science-gifted elementary students in order to figure out effects on their scientific investigation ability and attitude. in order to figure out effects of astronomical observation program using remote observatory program on scientific investigation ability and attitude of science-gifted elementary students, test was conducted on gifted students class of 5th grade in A Elementary School(15) and those of 5th grade in B Elementary School(20). The summary of this paper's results are as follows. First, in order to compose remote observatory system, an astronomical telescope available for remote control to transfer actual observed images in real-time was manufactured. Second, learning program for using remote observatory system wad developed by selecting contents through analysis of the curriculum. Third, in order to figure out effects of astronomical observation program using remote observatory program on scientific investigation ability and attitude of science-gifted elementary students. As a result, both of basic investigation ability and integrated investigation abilit, sub-elements of scientific investigation ability, showed significant differences and scientific investigation ability combining basic and integrated investigation abilities showed significant differences as well. Effects of astronomical observation program applying remote observatory also showed significant differences and its sub-elements, openness, collaboration, patience and creativeness did not show significant differences while curiosity, critics and volunteering showed significant differences.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.364-370
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• 2017

Creative thinking and fusion diversity of the performing arts pursue the settlement of empirical value realization by assuming new communication by genre. This new value and communication can create a type of collective intelligence with a different attempt based on the individual communication and horizontal thinking of the masses. Therefore, the empirical value and communication of the 21st century convergence(fusion) performing arts is possible through new types and analysis, and also were understood as the horizontal creation structure of the artist. As a result, first, the concept of the right value of 'convergence' was perceived as empirical communication depending on the empirical thinking ability of genre artists. Second, off-genre and collaborative tendencies are due to cooperation based on intellectual ability and recognition of horizontal communication by genre. Third, in the collaboration, the public's individualized communication ability and universal communication recognition should be premised and perceived the empirical definition about the collective intelligence. In conclusion, it is concluded that empirical value and communication of convergence performing arts enable to the experimental creation of collective intelligence, and that the relationship structure extends to a meaningful transition of convergence interpretation and expression of performing arts.

• Journal of Digital Contents Society
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• v.18 no.7
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• pp.1313-1321
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• 2017

In the future society where ICT-based digital convergence creates new value, collaborative skills among experts in various fields and SW based problem solving ability is more emphasized. Non-SW specialists are required to have SW based communication skills to effectively collaborate with SW experts to solve their problems. Therefore, SW programming curriculum for non-major college students should be different from the existing programming education for SW-majors aiming at a high level of coding ability. It is also known that diagram-based visual representation is helpful for productive communication and collaboration. In this study, we defined the SW education objectives for the non-majors as cultivating the visual programming ability for SW based problem solving. In order to accomplish this, we explored SW programming curriculum and content development model for non-majors focusing on visual representation of SW solutions. The results of this paper will help to provide appropriate SW learning model for non-majors and to cultivate practical SW capabilities.

• The Research Journal of the Costume Culture
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• v.29 no.1
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• pp.134-151
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• 2021

The aim of this research is to develop a clothing and textiles studio course for preservice home economics teachers applying principles of Project-Based Learning (PBL) and maker education to equip future teachers with the ability to nurture creativity among adolescents. The studio course was developed in the following stages: analysis, design, development, implementation, and evaluation. We concluded that the resulting course met the following objectives extracted from the 2015 revised curriculum of home economics subjects: to promote creative and environmentally-friendly fashion design and styling abilities, gain the ability to use makerspace tools, understand flat pattern making and sewing processes, and develop creative thinking, aesthetic sense, and communication skills. Furthermore, the educational effects of PBL and maker education were confirmed through student comments on the course. Students mentioned the practicality of the material in their actual lives along with their enhanced integration of the subject material, self-directedness, aesthetic sense, ability to learn through trial and error, collaboration and communication, and sharing. Based on results from the implementation and evaluation stages, a clothing and textiles studio course should include the following modules: introduction of terms and tools, submission and sharing of clothing reformation and upcycling techniques, introduction to hand sewing, pouch making, heat-transfer printing, 3D printing, mask making, hat making, vest making, and the final team project on fashion styling. It is important for instructors to provide detailed guidelines on selecting personas for styling, looking for available materials, and selecting materials online.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.11
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• pp.2690-2701
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• 2013

Humans are able to recognize small number of people they know well by the way they walk. This ability represents basic motivation for using human gait as the means for biometric identification. Such biometric can be captured at public places from a distance without subject's collaboration, awareness or even consent. Although current approaches give encouraging results, we are still far from effective use in practical applications. In general, methods set various constraints to circumvent the influence factors like changes of view, walking speed, capture environment, clothing, footwear, object carrying, that have negative impact on recognition results. In this paper we investigate the influence of walking speed variation to different visual based gait recognition approaches and propose normalization based on geometric transformations, which mitigates its influence on recognition results. With the evaluation on MoBo gait dataset we demonstrate the benefits of using such normalization in combination with different types of gait recognition approaches.