• Archives of design research
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• v.18 no.1 s.59
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• pp.59-68
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• 2005

In 20th century, that is the times of mass production with mass consumption, a company supplies standard product by the system of mass production line. Therefore, the company, itself, had to introduce its product quality to the customers. It was the buying criterion of consumer against product. In that period, a company utilized its identity in order to give customers product information such as product value, price and quality, etc. However, as digital technology with the wide-spread of informationalization & technical revolution is developed, products have diversification and customers have better incomes. So, buying method tends to thi purchase of self-satisfaction generally. In the buying criterion of consumerbased on personality & sensibility, a company must offer the buying criterion of product which can appeal the special quality & image of product itself to customers, and it must stop appealing the Cl of company under the condition of mass production by product quality and function. This study tried to focus on the method which can create effective brand and its image that are the buying criterion of new product. Also, this study tried to find the effective relation between economical & social paradigm which is the result of social informationalization with intensive knowledge, and buying determination of customer, And, this study tried to present guideline of effective brand image and brand special Quality that is affected to buying determination of customers together. The model of Positive analysis had two types. The first model studied the mutual relation between economical/social change factors and special quality of brand. And, the second model studied the mutual relation between the cause of special quality of brand and formation of brand image through regression analysis. Therefore, the construction of sensitive brand image for forming brand must be requested. The sensitive brand image is highly related to preference of sensibility, and it must be based on mind identity & visual identity. And, mind identity must have creation of value, satisfaction, combination of community, personal preference, etc. Visual identity must have esthetic order, and originality of molding, etc. Namely, brand image must form the accommodation of era change, personality & sensibility satisfaction, the effectiveness of service, etc., in order to create effective brand image.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.119-128
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• 2014

This Study investigated the differences of risk assessment tool and personality assessment inventory (PAI) by recidivism types of juvenile delinquents, the psychological factors that have a influence of juvenile behaviors. 268 incipient Juvenile criminals who had committed crime in the areas of Seoul, were categorized in the three degree of recidivism types. The result showed the significant differences among risk assessment tool, such as family functioning risk factor, school risk factor, away-from-home risk factor, delinquent risk factor, and personal risk factor. PAI scores among the recidivism type showed the significant differences on SOM, DEP, PAR, SCZ, BOR, ANT, ALC, DRG, AGG, SUI, STR, NON, DOM, and WRM. The predictor variables explained a risk assessment tool were STR, ALC, DEP, DOM and WRM in PAI scales. And the interventions and preventions about juvenile delinquents discussed in psychological aspects.

• 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.

• Science of Emotion and Sensibility
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• v.11 no.4
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• pp.489-500
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• 2008

The purpose of this study was to determine the preference and purchasing intention on necktie pattern designs according to male consumers' fashion lift style. Written questionnaires were handed out to 300 male consumers of the 20-40 years old in Seoul and surroundings, who were accessed by a convenience sampling method. The questionnaires were to classify male consumer groups according to the fashion life style, to examine characteristics, needs and wants of each group. The stimuli of 8 kinds of necktie patterns in black & white, and the semantic differential scale were applied to evaluate the preference and purchasing intention on necktie pattern design. A total of 265 samples were analyzed by factor analysis, cluster analysis, ANOVA, crosstabs and $X^2$-test through SPSS package program. Six factors in their fashion life style were extracted as follows: those were 'fashion-oriented', 'traditional conservative', 'brand-flaunting', 'personality-oriented', 'practicality-oriented' and 'unconcerned' life style. With these life style sub-dimensions, male consumers were segmented into five groups: these groups were 'strong personal seekers', 'practical brand seekers', 'traditional personal seekers', 'active fashion seekers', 'unconcerned group'. Each of these groups of male consumers showed significant differences in the preference and purchasing Intension of necktie pattern designs according to their fashion life style.

• Journal of Digital Contents Society
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• v.16 no.4
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• pp.595-604
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• 2015

This study aimed to analyze service internship participation determinant contents of undergraduate students who major in airline service to influence their career. To accomplish this purpose, data collected from 211 students were analysed using logistic regression analysis. Personal characteristic, big 5character factors, social support were analysed as service internship determinant contents. The research results showed grade, GPA, broad experience, flight experience among personal characteristics and extraversion among big 5factors personality as significant service internship determinant contents of students. Also, the research results showed career preparation, career decision making self-efficacy and social support as non-significant service internship determinants of students. It was concluded that active participation with service internship is imperative for undergraduate students in airline service major to enhance career competence upon graduation.

• Journal of Fashion Business
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• v.14 no.1
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• pp.11-26
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• 2010

This study was carried out using personal measurement for female college students who have a great interest in fashion at 20-24 age, and examined somatotype character. As a means of a character type test, the grades were laid by using MBTI which proved to be objective, and relativity between character types was laid by conducting correlation analysis. The conclusions which can be drawn from this study are as followed. 1. In 4 preference index, which was classified by MBTI, Sensing(S) type was the highest of 17.27% at the average and 68.5% at the distribution rate each. The average of Extraversion(E) type was 14.56% and it's distribution rate was 64.5%. Index of types were : Intuition(N) 12.49%, Introversion(I) 11.75%, Perceiving(P) 12.50%. Average distribution rate of each types were : N 31.5%, I 35.5%, P 40.3%. And average of Sensing(S) type was the lowest, 11.09%. Like American Students, the subjects of this study showed higher in the E type than in the I type. The distribution rate of 16 character types of MBTI were : ESTJ 18.5%, ESFP 13.7%, ISTJ and ESFJ 9.7%. But INTP and INFP were low, 2.4% and 0.8%. 2. Average sizes of subjects for this study were : height 160.49cm, weight 51.83kg, bust 83.22cm, waist 65.49cm, hips 90.70cm. As compared with measurement of women at 20-24 age of Size Korea(2004), the subjects of this study showed less, about 0.2-5cm in height, 0.2-2cm in circumference except in waist, and 0.5-3.6cm in length. 3. After examining the relativity between personal measurement categories of the subjects and character type through the MBTI, Extraversion(E) type showed inverse correlation in stature, height, biacromial breadth, and subcutaneous fat thickness of posterior iliospinale. Contrary to the E type, the Introversion(I) type showed positive correlation. Sensing(S) type showed inverse correlation only in biacromial breadth, Intuition(N) type showed positive correlation in most categories including height, width and the subcutaneous fat thickness. Thinking(T) type showed positive correlation in bust point-bust point, chest depth and hip width. Feeling(F) type, on the other hand, showed inverse correlation. The Judging(J) type showed inverse correlation in stature, height, length and the parts of chest. In contrast, Perceiving(P) type showed positive correlation in other categories including biacromial breadth, same as the J type.

• The Korean Journal of Air & Space Law and Policy
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• v.35 no.1
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• pp.3-32
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• 2020

With controlling Drones, although it was discussed in the previous study which showed a possibility. Which is personality and property rights of third parties could be violated while operating the drone with a video camera. But It's hard to find out precedents related to drones in Korea. In case of that someone try to control the drone which is equipped with a camera in a yard of neighborhood, the German District Court (Potsdam) considered an operator of drone has little bit of careless to do his duty and admit nonfeasance claim in the owner of the one's property for prevention to repetition of similar situation according to a nonfeasance claim for prevention to Section 1004 (1) sentence 2 of the German Civil Code(BGB). The drone which is equipped with a camera have possibilities to disrupt property and personal rights of the owner. Because a danger in repetition is getting larger regarding the violation of law. Moreover, there is a case that someone shot down the drone which is equipped with a camer. Because it has a risk to interrupt private life and cause some dangerous in our life. The German district court(Riesa) recently have considered that controlling the drone with a camera in private spaces is illegal as a violation of personal life. In addtion to, the action of property owner shot down drone is a legal according to § 228 of the German Civil Code(BGB) which is caleed "Necessity". Although it is difficult to apply to foreign cases directly to Korea, similar cases are likely to be occurred in Korea. The decision of the German District Court showed implications to Korea. As demand for the camera-equipped drone increases in Korea, it is time to discuss specific measures for drone violations.

• Journal of Hospice and Palliative Care
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• v.13 no.3
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• pp.161-168
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• 2010

Purpose: This study investigated the Korean social workers’ burn-out factors and personal traits in hospice and palliative care field, and also examined the effect and correlation between their professionality, social support and supervision. Methods: Data (N=46) from 46 social workers working at hospice and palliative care field were collected, and the data were analyzed for the inferential statistics using t-test, ANOVA, correlation and multiple regression with the SPSS 12.0 program. Results: General factors of the burn-out were age and work experience. The effect of the organization environment is greatly dependant on social support and supervision, and the burn-out were protected when workers got an emotional support from their family. For the workers with supervision, the less negative feeling, the better for the burn-out protection. Furthermore, the low burn-out was thought about when professional organization, self regulation, job vocation and autonomy were utilized. Regression analysis needed that the burn-out were protected well when individual autonomy among expertise was guaranteed. As for social support, vertical support was able to protect physical burn-out. Conclusion: The training program for social workers in hospices and palliative care field is essential to reduce and prevent the burn-out. Hospice should be more activated and a training program with up-to-date knowledge and information should be adopted.

• Informatization Policy
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• v.19 no.4
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• pp.46-62
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• 2012

This research intends to find factors to analyze users, non-users, and the relation between how many sites people use and the users' tendencies, in regards of social network services such as Facebook, Twitter, and Cyworld. The major results are as follows: firstly, the user group seems to be composed of people who are younger, have higher self-efficacy, and use smartphones, compared to the non-user group. Secondly, a single-site user group has lower motivation of 'expert search and expression' and a lower degree of personal tendency of innovation (novelty seeking and self-efficacy), compared to multiple-site user group. Thirdly, foreign SNS user groups have a higher degree of personal tendency of innovation and motivation of 'experts search and expression' than the Cyworld user group. On the other hand, the Cyworld user group seems to be affected by reference group in their use, while they have high motivation of 'connection'. In conclusion, there were significant relationships between personality and multiple SNS uses. Also, Cyworld users tended to use it for maintaining established relationships.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.229-239
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• 2016

The aim of this paper is to extend the TOPSIS(Technique for Order Performance by Similarity to Ideal Solution) to the fuzzy environment for solving the new professor selection problem in a university. In order to achieve the goal, the rating of each candidate and the weight of each criterion are described by linguistic terms which can be expressed in trapezoidal fuzzy numbers. In this paper, a vertex method is proposed to calculate the distance between two trapezoidal fuzzy numbers. According to the concept of the TOPSIS, a closeness coefficient is defined to determine the ranking order of all candidates. This research derived; 1) 4 evaluation criteria(research results, education and research competency, personality, major suitability) for new professor selection, 2) the 5 step procedure of the proposed fuzzy TOPSIS method for the group decision, 3) priorities of 4 candidates in the new professor selection case. The results of this paper will be useful to practical expert who is interested in analyzing fuzzy data and its multi-criteria decision-making tool for personal selection problem in personal management. Finally, the theoretical and practical implications of the findings were discussed and the directions for future research were suggested.