• Korean Journal of Human Ecology
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• v.19 no.6
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• pp.1003-1012
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• 2010

This study analyzed purchase behavior according to the risk perceptions when customers buy Cosmetics at Internet Shopping Malls. Participants were 232 women in their 20s and 30s with more than one buying experience at an internet fashion shopping mall. Data were analyzed using factor analysis, Cronbach's analysis, cluster analysis, one-way ANOVA and a Duncan test. Results were as follows. Firstly, five factors of risk perception were identified: These were the payment risk, service risk, quality risk, price risk and experience risk. Secondly, customers of internet shopping malls could be categorized into three groups: A low risk perception group, a payment risk perception group and a high risk perception group. Factor analysis showed significant differences between these groups( p<.001). Thirdly, purchase behavior based on the purchase standards, purchase items, information searching were investigated according to the different groups of risk perception of internet shopping malls and results again significant differences between groups (p<.05, p<.001).

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.395-397
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• 2019

Despite technical advance, human error is the main reason for maritime accidents. To ensure a safety of maritime transporting environment, technical and methodological improvement to react to various types of maritime accidents should be developed instead of ambiguously anticipating maritime accidents due to human errors. Survey, questionnaires, and interview have been routinely applied to understand objective human lookout pattern differences in various navigational situations. Although the descriptive methodology helps systematically categorizing different patterns of human behavior to avoid accidents, the subjective methods limit to objectively recognize physical behavior patterns during navigation. The purpose of the study is to develop an objective lookout pattern detection system using wearable sensors in the simulated navigation environment. In the simulated maritime navigation environment, each participant performed a given navigational situation by wearing the wearable sensors on the wrist, trunk, and head. Activity classification algorithm that was developed in the previous navigation activity classification research was applied. The physical lookout behavior patterns before and after situation-aware showed distinctive patterns, and the results are expected to reduce human errors of navigators.

• Journal of the East Asian Society of Dietary Life
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• v.19 no.1
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• pp.116-129
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• 2009

The study was conducted to evaluate consumer awareness of the risk elements associated with foods and their information search behavior regarding food safety. The data were collected from 504 adult consumers living in Seoul, Busan, Incheon, Daegu, Daejeon, and Gwangju through a self-administered questionnaire on August, 2006. Frequency analyses, t tests, one-way analysis of variance, and Duncan's multiple range comparison tests were conducted to analyze the responses using SPSS v. 14.0. The levels of recognition of consumers regarding each risk element were generally low. Many respondents answered that they obtained information regarding food safety from TV/radio/newspapers and family/relatives/friends/neighbors. The respondents also indicated that they had strong confidence in the information from family/relatives/friends/neighbors. Additionally, most respondents required information regarding heavy metal contamination, endoctrine disruptors, and avian influenza.

• Journal of the East Asian Society of Dietary Life
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• v.15 no.2
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• pp.235-245
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• 2005

This study was conducted to investigate the eating out behavior and its factors in restaurant selection by students in Incheon area. Self administered questionnaires were collected from 297 students. Statistical data analysis was completed using a SPSS v. 10.0 program. The results are summarized as follows: The average age, weight, height, BMI and male and female students were $24.31,\;67.96\cal{kg},\;174.93\cal{cm},\;22.17\;;\;20.55,\;51.99\cal{kg},\;165.44\cal{cm},\;19.00$ reflectively. About $54.2\%$ of male students and $38.0\%$ of female students responded to eat out at least once a day. And lunch was most frequent meal for eating out. About $57\%$ of students responded to have eat at restaurants around campus, and $19.5\%$ of students used the university foodservice system. Korean-style food was most favorite dish when they ate out. Major source of restaurants information was recommended action by friends or family. But the use of internet or magazine was negligible. The factor of restaurants choice was in order 'taste', 'price', 'atmosphere' and 'hygienic'.

• IEIE Transactions on Smart Processing and Computing
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• v.5 no.3
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• pp.215-221
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• 2016

This paper describes an automatic vowel sequence reproduction system for a talking robot built to reproduce the human voice based on the working behavior of the human articulatory system. A sound analysis system is developed to record a sentence spoken by a human (mainly vowel sequences in the Japanese language) and to then analyze that sentence to give the correct command packet so the talking robot can repeat it. An algorithm based on a short-time energy method is developed to separate and count sound phonemes. A matching template using partial correlation coefficients (PARCOR) is applied to detect a voice in the talking robot's database similar to the spoken voice. Combining the sound separation and counting the result with the detection of vowels in human speech, the talking robot can reproduce a vowel sequence similar to the one spoken by the human. Two tests to verify the working behavior of the robot are performed. The results of the tests indicate that the robot can repeat a sequence of vowels spoken by a human with an average success rate of more than 60%.

• Korean Journal of Human Ecology
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• v.18 no.4
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• pp.923-932
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• 2009

This study aims to present a marketing strategy in the infant wear market with regard to consumer segments by analyzing benefits infant clothing purchases. For this study the consumer's evaluation criteria, usage of information source and characteristics of purchase behavior were analyzed by clustered consumers' groups. The results of the study are as follows: 1) Four factors were revealed as the result of the factor analysis on the benefits in infant clothing purchases. The factors were labeled fashionability, brand value, individuality, and practicality. 2) The result of the cluster analysis showed that it was most appropriate to categorize consumers into four groups based on the benefits of infant clothing purchases. 3) There were a significant difference in evaluation criteria, usage of information source, and characteristics of purchase behavior in terms of buying plan, retail store, purchase frequency, amount money spent, named brand purchase, and vicarious satisfaction among the groups.

• Journal of the Korea Society of Computer and Information
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• v.24 no.6
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• pp.29-35
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• 2019

In this paper, the effects of educational contents on job behavior, the effects of job behavior on job effectiveness and the effects of educational contents on job effectiveness were studied when working in the Software field. For this purpose, a questionnaire survey was conducted on the learning workers who conducted the training in the IT field, and 302 valid questionnaires were used for the analysis. The research model was set up to test exploratory factor and confirmatory factor analysis and hypothesis, and the research hypothesis was tested by applying structural equation. The effects of job behavior on job effectiveness were positively related to job satisfaction, customer orientation, and organizational commitment.

• Journal of the Ergonomics Society of Korea
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• v.33 no.3
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• pp.175-189
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• 2014

Objective: The goal of this research is to develop new user behavior model using user motion analysis with microscopic perspective for attracting user's participation in interactive space. Background: The interactive space is 'human's place', which is made up of complex elements of digital virtual space and traditional analog and physical environment based on human-computer interaction system. Human behavior has changed in it at the same time. If the user couldn't make participation in interaction, the purpose of the system is not met, which reduces its effect. Therefore, we need to focus on interactive space that is potential future direction from a new point of view. Method: For this research, we would discuss and study fields of interactive space; (1) finding definition of interactive space and studying background of theory about it. (2) providing base of user behavior model with study of user's context that is to be user information and motion. (3) examining user motion, classify basic motion type and making user participation behavior model in phases. Results: Through this process, user's basic twenty motions which are systematized are taken as a standard for analysis of interaction process and participation in interactive space. Then, 'NK-$I^5$ (I Five)' model is developed for user participation types in interactive space. There are five phases of user participation behavior: Imperception, Interest, Involvement, Immersion, and Influence. In this analysis, three indicators which are time, motion types, and user relationship are found to be related to participation. Conclusion: The capabilities and limitation of this research is discussed to attract user participation. This paper focuses especially on contribution of design to lead user's participation in interactive system and expectation to help adapt to user centered design of various interactive space with new aspect of user behavior research. Application: The results of the 'NK-$I^5$ (I Five)' model might help to realize successful interactive space based on user centered design.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.19 no.40
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• pp.329-339
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• 1996

This study presents the eigen ethnic function and mathematical processing method of human information. Human information can be definded as the overlap area taking the superposition property composed of intuition and sensory in stimulus/response (S/R) model, In S/R model, the intuition and sensory eigen ethnic function acts on the forming of perception. Perception process by the superposition property of intuition and sensory analogy to the basic neural network model. This analogy model extends to the analysis method. As an analysis method, optimal ratio number induced to the golden section ratio. Golden section ratio drived out by diverse source and implicated to the sensory and intuitive context such as beauty, harmony, optimality etc. This numerical orders can be applied to analysing the Perception process and extended to pursue the Potential human behavior, On the basic of proposed applying method, an illustrative mathematical examples are presented.

• Journal of Information Processing Systems
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• v.15 no.1
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• pp.67-90
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• 2019

Accurate detection, tracking and analysis of human movement using robots and other visual surveillance systems is still a challenge. Efforts are on to make the system robust against constraints such as variation in shape, size, pose and occlusion. Traditional methods of detection used the sliding window approach which involved scanning of various sizes of windows across an image. This paper concentrates on employing a state-of-the-art, hierarchical graph based method for segmentation. It has two stages: part level segmentation for color-consistent segments and object level segmentation for category-consistent regions. The tracking phase is achieved by employing SIFT keypoint descriptor based technique in a combined matching and tracking scheme with validation phase. Localization of human region in each frame is performed by keypoints by casting votes for the center of the human detected region. As it is difficult to avoid incorrect keypoints, a consensus-based framework is used to detect voting behavior. The designed methodology is tested on the video sequences having 3 to 4 persons.