• Journal of Distribution Science
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• v.13 no.3
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• pp.11-19
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• 2015

Purpose - This study examines the strength of sadness and the belief it will last, as regards the effects of the degree of self-extension to the sad-evoking event on choice behavior related to self-control dilemmas. Research Design, Data, and Methodology - In an experiment involving high and low self-extension groups, 261 undergraduates answered self-administered questionnaires. The hypotheses were tested using AMOS 19.0 and path analysis. Results - The positive relationship between the degree of self-extension to the sad-evoking event and hedonic vs. utilitarian food choices was mediated by the belief that the sadness will last. There is a significant indirect path from the degree of self-extension (to the sad-evoking event) to the strength of the sadness, and to the belief that it will last with respect to hedonic vs. utilitarian food choices. Conclusions - These results show that beliefs about sad emotion transience depend on both the degree of self-extension to the sad-evoking event and the strength of sadness, and that the belief that sad emotions are transient makes sad people susceptible to temptation when facing self-control related dilemmas.

• The Journal of Industrial Distribution & Business
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• v.13 no.8
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• pp.29-50
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• 2022

Purpose - This study aims to investigate factors affecting Chatbot service acceptance attitude. For wide use of Chatbot service, firms need to find barriers or obstacles for customers, if any, not to use Chatbot service. Research design, data, and methodology - We apply value-based accept model to investigate the quality of Chatbot, to verify the meaning of service value of Chatbot and to find the relationship among variables. To test hypotheses, we conducted survey. We collected 300 questionnaires. SPSS version 2.0 is used. Regression analysis, moderating effect test is conducted. Results - 4 Qualities of Chatbot, Ease of use, Usefulness, Enjoyment, Interaction are affecting acceptance attitude, and 5 service values, only interaction does not affect emotion. Trust, Specialty, Necessity, Social, Emotion moderating Chatbot service to accepting attitude. Regarding moderating effects by personal characteristics and personal tendency, innovation resistance, innovativeness, and social effects are turned to have influence while regulatory focus, construal level does not have moderating force. Also, the auxiliary service like Chatbot service affects customers' evaluation on the main service quality. Conclusions - Service firms adopt Chatbot service for various purposes. The results imply that customers are generally recognize the merits of Chatbot, but there are some barriers such as innovation resistance characteristic especially uncomfortable.

• The Journal of Industrial Distribution & Business
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• v.8 no.7
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• pp.51-61
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• 2017

Purpose - Present study investigates character identification and emotional response to character that may affect consumers' intention to purchase the character-attached products. And this study explores whether symbolic relevance and object relevance affect the character identification, and whether character attractiveness and character salience affect the emotional response to characters. Research design, data, and methodology - SNS characters, animated characters, game characters, and traditional characters were used as experimental characters. And stationery as experimental product was used. 250 college students participated in the empirical study, and structural equation model was used to verify hypotheses. Results - First, the character identification and emotional response to characters affected the intention to purchase the products positively, and the emotional response to characters also positively affected character identification; second, symbolic relevance had no positive impact upon character identification, while object relevance had positive influence on character identification; and third, character attractiveness and salience had a positive effect on the emotional response. Conclusions - Present study contributes to the progress of character theories. Marketers should find ways to increase consumers' object relevance to characters and the level of characters' attractiveness and salience in order to promote the intent to purchase the products.

• Science of Emotion and Sensibility
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• v.20 no.2
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• pp.149-160
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• 2017

In hypothesis testing, the interpretation of a statistic obtained from the data analysis relies on a probabilistic distribution of the statistic constructed according to several statistical theories. For instance, the statistical significance of a mean difference between experimental conditions is determined according to a probabilistic distribution of the mean differences (e.g., Student's t) constructed under several theoretical assumptions for population characteristics. The present study explored the logic and advantages of random-resampling approach for analyzing event-related potentials (ERPs) where a hypothesis is tested according to the distribution of empirical statistics that is constructed based on randomly resampled dataset of real measures rather than a theoretical distribution of the statistics. To motivate ERP researchers' understanding of the random-resampling approach, the present study further introduced a specific example of data analyses where a random-permutation procedure was applied according to the random-resampling principle, as well as discussing several cautions ahead of its practical application to ERP data analyses.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.05a
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• pp.34-38
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• 2002

A virtual human which can evaluate Kansei such as comfort, pain, etc. when the virtual human uses some product is developed. In this paper, method of the evaluation of Kansei by the virtual human is presented. The body of our virtual human is modeled as an uniform non-linear elastic one with a skeleton. The deformation of the body on the contact with some product is simulated using a FEM analysis, and by using of the simulated results (load distribution, strain, etc.) on the contact surface the Kansei is predicted. As examples of the application, comfort of buttocks on seating and pain of arm on hanging of bag are shown. This virtual human can apply for the design of virtual products and also the simulation of medical care.

• Proceedings of the KIEE Conference
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• 1988.07a
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• pp.25-28
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• 1988

A speech that play a part of important mediation in the man's conversation is the sound of representation to man's emotion and thought, then voice sound could be verified and identified a speaker's speech by individual property. This study indicates as distribution of pitch in searching for sample number of each pitch with eye in the sound waveform of speaker. We propose the algorithm that judge speaker's emotion state, personality, regional group, age, sex distinction, e.t.c., according to the deviation degree.

• Journal of the Semiconductor & Display Technology
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• v.19 no.4
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• pp.65-70
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• 2020

CNN's technologies that represent emotional detection include primitive CNN algorithms, deployment normalization, and drop-off. We present the methods and data of the three experiments in this paper. The training database and the test database are set up differently. The first experiment is to extract emotions using Batch Normalization, which complemented the shortcomings of distribution. The second experiment is to extract emotions using Dropout, which is used for rapid computation. The third experiment uses CNN using convolution and maxpooling. All three results show a low detection rate, To supplement these problems, We will develop a deep learning algorithm using feature extraction method specialized in image processing field.

• Korean Institute of Interior Design Journal
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• v.20 no.6
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• pp.71-78
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• 2011

Although the recognition and emotion about space is subjective and individual, if standard is proposed through common factor, objective, quantified space image evaluation will be available. In addition, space image evaluation standard caused by recognitive-emotional factor can meet requests of space users and increase psychological satisfactions. The purpose of this study is to grasp the space image caused by recognitive-emotional factor in space with PAD model and analyze the evaluation of space image giving visual, recognitive and emotional effects. The analysis result revealed that 'joyfulness' and access-avoidance had a very similar distribution. The result means that space is evaluated with the degree of 'joyfulness' for space and it is led by approach-avoidance behavior. The recognition factor that forms and evaluates space image and decides approach-avoidance is expressed as adjective images such as 'fresh, joyful, light and static and its emotional factors are adjective images such as 'calm, allowable, joyful and quiet'.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.11a
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• pp.148-154
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• 2000

To do this study, we produced cooling vest newly. Rectal temperature was ascended approximately from 37.2$^{\circ}C$ to 38.05$^{\circ}C$ in lab, but wearing cooling vest, the temperature was descended 0.2 while wearing developed product compare with existing product. Mean skin temperature which was showed distribution from 32.8∼36.5$^{\circ}C$, it was descended 1.0∼1.1$^{\circ}C$, while wearing cooling vest and comparing with existing product, wearing developed product was lower 0.5$^{\circ}C$, While wearing developed product, it was found that they had lower tendency than exiting product. Specifically in case of temperature within clothing(chest) 0.2∼2.0$^{\circ}C$ in case of humidity within clothing 2∼8% RH. Facts from above we confirmed that clothing microclimate had been improved and space was happened between body and garment in order to control. In subjective sensation, existing product made negative response during experiment period from participants, but developed product was nearing to comfortable area.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.11a
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• pp.212-216
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• 2000

어떤 특정한 환경과 상황을 가상적으로 모의함으로써 그 환경에 있는 사람이 마치 실제적인 환경 또는 상황과 상호 작용을 하고 있는 것처럼 만들어 주는 진보된 기술을 가상현실(virtual reality) 이라고 한다. 가상현실을 실현하기 위해서는 주변의 영상, 음향, 운동감, 열환경, 후각환경 등이 실제처럼 제시되어야 한다. 본 연구에서는 이중 후각환경의 제시를 위하여 급기 및 배기 위치에 따른 향 농도의 분포를 수치해석적으로 예측한다. 수치해석 결과는 VR 영상관의 향 배기 시스템의 설계 자료로 활용된다.