• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.78-84
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• 2008

The traditional intelligent teachable system has mainly focused on knowledge and cognition. It has overlooked motivational aspects of learners. Motivation is an important factor in learning making learners to have interests in a given task and persist it. Although the systems include cognitive as well as motivational factors, the effects of ITS on interest are not equivalent depending on individual characteristics. This study is to investigate how influence learners' response patterns to their interests and also examined effects of individual characteristics on interest in teachable agent (TA). In this experiment, we used KORI which is a new type of ITS that learner teach computer agent based on the instructional method of learning by teaching'. In the beginning of experiments, metacognition, achievement goal orientation and self-efficacy were measured as individual characteristics. Then, participants were asked to use KORI at home during 10 days. After using KORI the level of interest were measured. The result showed that metacognition was positively related with interest, whereas performance goal orientation and mastery goal orientation were negatively related to interest. It suggests t hat different individual characteristics should be considered to promote learners' intrinsic motivation in TA.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.2
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• pp.241-249
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• 1998

Somatotypes in the lower torso and legs of adult females were classified and discriminated. Then their distribution according to the age groups was studied. The subjects were 343 females of 18 to 49 year-old. 36 anthropometric and 21 photographic measurements were taken to each subject. The results were as follows: 1. The somatotypes in the lower torso and legs were classified into 4 types and their differences were shown by analysing factor scores and anthropometric values according to each somatotype. 2. The shape characteristic of tile classified somatotypes was represented by the rating scale of Heath-Carter. 3. The lateral silhouettes of 4 types were compared with balanced type which is type 3 in this study. 4. Individual somatotype in the lower torso and legs could be discriminated from the measured anthropometric data without modifying the data. Anthropometric data, which are needed for discriminating individual somatotype, are waist circumference, posterior waist height, and hip circumference. 5. The distribution of the somatotypes in each age group showed that the dominant somatotype of each age group was different and any somatotype was shown in a specified age group but rarely in other age group.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.1315-1319
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• 2011

As government's policy is enacted to reduce greenhouse gas emission in transportation sector, railroad sector has to estimate amount of emission and propose feasible methods to reduce emission. To calculate accurate emission of railroad sector, we performed a study on the calculation model development for Tier 3 GHG emission factors. According to IPCC guide line, Tier 3 emission factor reflects individual characteristic of diesel locomotive. For this reason, we estimated GHG emission factor by stratified diesel locomotive and the result show difference of emission factor by notch changing. Therefore, the analysis of notch frequency during operation is required to develop Tier 3 emission factor, and we analysed a running pattern of diesel locomotive. As a result, idle and 8 notch consist about 70% of total running distance. In conclusion, the calculation model suppose that Tier 3 GHG emission factor is the sum of multiplied emission factor by weights in each notch. This result can contribute to Tier 3 emission factor calculation and reduction method development of emission in railroad sector by managing driving efficiency and technology development.

• Management & Information Systems Review
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• v.3
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• pp.399-417
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• 1999

The purpose of this paper id to study the factors influencing MIS user satisfaction. For this purpose. I have reviewed the results of past studies on the performance factor of MIS, and introduced a new model associated with small & Medium Business. On the basis of this model, I have hypothesized that the following variables influence user satisfaction : (gender, age), individual characteristics(user attitude, training for user), managerial characteristic(top management involvement, organizational support) and task characteristics(task structure). There were 195 participants surveyed using questionnaires from 25 different small & medium Business in Pusan. The research model and associated hypotheses were tested by following statistical techniques: reliability test, regression, t-test and ANOVA. The findings of this study are follows; 1. It was found that gender and age are not correlated user satisfaction. 2. Among individual characteristics, only user attitude influence user satisfaction significantly. 3. While organizational supports influence positively user satisfaction, top management involvement do not influence it. 4. Task structure is highly correlated with user satisfaction. In spite of many factors affecting MIS success, this study did not consider all variables affect on user satisfaction. We need integrated model including more various factors.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.13 no.5
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• pp.51-58
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• 2010

This study was done to recommend a method for conserving the habitat of Amblyotropis verna grown naturally in campus of the Kyungpook National University at Daegu city. Vegetation characteristics and morphological characteristics of each individual were analyzed for the condition of the population at the growing season from May to June in 2010. Totally 11 vegetation data were collected and analyzed, and one vegetation community including Amblyotropis verna (Amblyotropis verna-Zoysia japonica community) was found. We found that the growing condition was not good with severe stamping and disturbance. The location-determining method by PCoA analysis showed the physical texture in soil was a critical factor determining the spatial distribution of the Amblyotropis verna-Zoysia japonica community. And the analysis of morphological characteristics found that light condition and soil hardness were the main ecological factor determining the size and form of each individual. Finally, this study recommend that minimizing impacts by human stamping and artificial disturbance and reducing the water stress were the best ways for the conservation of Amblyotropis verna habitats.

• Journal of Korean Institute of Industrial Engineers
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• v.24 no.2
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• pp.287-296
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• 1998

We often have multiple quality characteristics to develop, improve and optimize industrial processes and products. It is not easy to find optimal control factor setting when there are multiple quality characteristics, since there will be conflict among the selected levels of the control factors for each individual quality characteristic. In this paper we propose a desirability function approach and devise a scheme which gives a systematic way of solving multiple quality characteristic problems. A numerical example is provided.

• Journal of Electrical Engineering and Technology
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• v.8 no.6
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• pp.1276-1282
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• 2013

This paper proposes a stochastic modeling of plug-in electric vehicles (PEVs) distribution in power systems, and analyzes the corresponding clustering characteristic. It is essential for power utilities to estimate the PEV charging demand as the penetration level of PEV is expected to increase rapidly in the near future. Although the distribution of PEVs in power systems is the primary factor for estimating the PEV charging demand, the data currently available are statistics related to fuel-driven vehicles and to existing electric demands in power systems. In this paper, we calculate the number of households using electricity at individual ending buses of a power system based on the electric demands. Then, we estimate the number of PEVs per household using the probability density function of PEVs derived from the given statistics about fuel-driven vehicles. Finally, we present the clustering characteristic of the PEV distribution via case studies employing the test systems.

• Management & Information Systems Review
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• v.21
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• pp.189-208
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• 2007

This study was designed to find what impacts store attributes and personal characteristics have had on customer loyalty to beauty shops. Participants were 283 men and women who had experienced services in beauty shops and selected from the Metropolitan area, Busan, Gyeongbuk area, Gyeongnam area, Chungcheong area, and other area. In conclusion, technical factor and lifestyle have had the greatest impact on customer loyalty to beauty shops. In beauty market faced with keen competition, the way to meet customers' needs is to run a distinguished beauty shop with distinct beauty techniques in consideration of individual lifestyle. This will help raise customer loyalty to beauty shops. This study has the important implication that personal characteristics as well as store attributes has been proved to be essential for increasing customer loyalty to beauty shops. I hope that future studies will continue to examine different marketing factors by different beauty shops, with additional analysis on the details, contributing to make a marketing strategy available for beauty shop owners.

• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.3
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• pp.571-580
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• 1997

In this study, the trunks of adult females were classified into several kinds of somatotypes and their distribution according to the age groups was shown. The subjects were 343 females of 18 to 49 year-old. The results were as follows: 1. The trunk somatotypes were classified into 5 types. From factor scores and anthropometric values according to each somatotype, it was shown that the somatotype was classified by the relation between the variables of vertical size and those of horizontal size. 2, As the characteristic of the classified somatotype was represented by the scale and its lateral silhouette was suggested, the characteristic of the classified somatotype was Quickly undertook. 3. By suggesting the canonical discriminant function with the unstardardized canonical coefficient, individual trunk somatotype could be discriminated from the measured anthropometric data without modifying the data. 4. From the frequency distribution of the somatotypes in each age group, the dominant somatotype of each age group was shown differently.

• Journal of Information Science Theory and Practice
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• v.9 no.2
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• pp.83-98
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• 2021

Research collaboration is an important strategy to improve research output, and virtual academic communities (VACs) have become an important platform to collaborate on. This paper reveals the influencing factors of researchers' collaboration intention in VACs from two attributes: individual, and inter-members. On the basis of the Social Cognitive Theory, Social Exchange Theory, social network theory, and Five-Factor Model, this paper constructed a model demonstrating the influencing factors of VACs researchers' collaboration intention. A self-administered questionnaire was employed on members of four VACs in China to collect data; subsequently, 558 usable responses were analyzed using structural equation modeling. The result showed that openness, conscientiousness, reciprocity, trust, and the social network characteristic had a significant influence on the collaboration intention of researchers in VACs, while self-efficacy, agreeableness, extroversion, neuroticism, and experience had no significant effects on the collaboration intention of researchers in VACs. This model plays a positive role in promoting the research collaboration intention of Chinese VACs researchers and in guiding the construction of VAC platforms.