• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2001.11a
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• pp.91-95
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• 2001

In this study, we estimated the behavior of the diversity of physiological responses under varied physical environmental factors by measuring variations of heart rate variability (HRV), an index of activity of cardiac autonomic control. Seven healthy young male adults consented and participated in the study. The environmental conditions consisted of thermal, lighting, and acoustic conditions. Two components of HRV were measured. one was the low frequency (LF) component of HRV, which provided a quantitative index of the sympathetic and parasympathetic (vagal) activities controlling the heart rate (HR). The other component measured was the high frequency (HF) component, which provided an index of the vagal tone. The percent contribution of physical environmental factors to the variations in HRV indices were calculated by ANOVA. The contribution of physical environmental factors to the variations in HR was higher than the contribution of HF and LF. However, the contribution of these factors was lower than the contribution related with individual difference in all indices. This result showed that the individual diversity of physiological responses is not a negligible quantity.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2002.11b
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• pp.762-766
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• 2002

This paper describes the emotion recognition algorithm using HMM(Hidden Markov Model) method. The relation between the mechanic system and the human has just been unilateral so far. This is the why people don't want to get familiar with multi-service robots of today. If the function of the emotion recognition is granted to the robot system, the concept of the mechanic part will be changed a lot. Pitch and Energy extracted from the human speech are good and important factors to classify the each emotion (neutral, happy, sad and angry etc.), which are called prosodic features. HMM is the powerful and effective theory among several methods to construct the statistical model with characteristic vector which is made up with the mixture of prosodic features

• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.2
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• pp.258-272
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• 2016

This study estimated a structural model for examining causal relationships among flagship store experiences, store emotion and loyalty, and to compare the structural models between luxury and fast fashion SPA brands. A total of 416 responses were collected from consumers who had experience with a variety of luxury and SPA flagship stores. Findings confirmed that flagship store experience consisted of four factors, such as sensory, affective, intellectual and behavioral experiences. Sensory and behavioral experiences had positive effects on store emotion that influenced loyalty. Affective and cognitive experiences influenced loyalty. All aspects of experiences explained store emotion or loyalty for luxury flagship stores; however, two of experiences (i.e., sensory and affective) were important to determine store emotion or loyalty for SPA flagship stores. The study discussed managerial implications for fashion brands to develop and manage flagship stores.

• The Journal of Korea Robotics Society
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• v.5 no.3
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• pp.224-230
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• 2010

As robots are no longer just working labors in the industrial fields, but stepping into the human's daily lives, interaction and communication between human and robot is becoming essential. For this social interaction with humans, emotion generation of a robot has become necessary, which is a result of very complicated process. Concept of mood has been considered in psychology society as a factor that effects on emotion generation, which is similar to emotion but not the same. In this paper, mood factors for robot considering not only the conditions of the robot itself but also the circumstances of the robot are listed, chosen and finally considered as elements defining a 2-dimensional mood space. Moreover, architecture that combines the proposed mood model and a emotion generation module is given at the end.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.05a
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• pp.79-82
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• 2009

Movies are not only for projecting graphical contents but also for Kansei evaluation that stimulate human beings' sense and emotion in real time. Also, when one views movies or moving images with stories, including movies and dramas, the audience would often be sympathized through various factors of movies, such as performances of actors/actress, graphics, and music, are moved to tears and feel fear. Especially, emotional movement is different from impression and brought about as a result of responding to joy, which is one of the basic emotions of human beings. Moreover, it is suggested that emotion is the most positive aesthetic measurement toward objects. In this study, focusing on emotional movement that is one of many aesthetic reactions in human beings' watching movies, we developed an interface for measuring of emotional changes. The goal of this study is to apply the output of our quantitative analysis on the results of the measurements to the effective designing and production of movies.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.05a
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• pp.55-58
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• 2009

본 연구는 주관적인 사용자의 감성을 객관적으로 정의하여 2차원 감성 모델에 의한 터치폰의 GUI 디자인 요소에 대한 디자인 가이드라인을 제시하고자 한다. 본 연구는 다음과 같은 단계로 연구를 진행하였다. 첫 번째 단계로 그루밍(Grooming) 사용자들의 라이프 스타일을 조사하여 Norman(2002)에 의거한 감각적, 행태적, 그리고 심볼적 세 가지 레벨의 감성요소를 추출하였다. 두 번째 단계로 Russell(1980)의 28개 감성 어휘와 세 단계 감성과의 관계성을 설문하여 감성모델을 구현하였다. 마지막으로 요인분석을 이용하여 대표 감성 어휘를 도출한 후 감성적 터치폰의 GUI(Graphic User Interaction) 디자인 요소를 제시함으로써 사용자의 감성이 반영된 인간 중심적인 제품 디자인을 위한 가이드라인을 제안한다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2004.11a
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• pp.48-48
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• 2004

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.27 no.1
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• pp.10-16
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• 2013

This study performed a subjective evaluation of the Semantic Differential (SD) method for living room activities to evaluate the living room lighting environment and investigated the relationship between these through luminance distribution in the space. As a result, three factors-"lightness", "emotion" and "calmness"-have been grouped together. According to the analysis of experimental variables, difference has been observed depending on color temperature, the dimming of the ceiling & cove lights and the use of down lights and a bracket. 'Conversation with Family', 'Having Fun with Family', 'Entertaining Guests' and 'Reading a Book or Newspaper' requires "lightness". In terms of "emotion"-centered activities, 'Watching TV' is the highest, but all three factors are related. In terms of "calmness"-centered activities, 'Relaxing' is the highest.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1998.04a
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• pp.63-69
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• 1998

Korean constitutional type(Sasang Chejil) was considered with anxiety level and personality type in order variability frequently encountered in EEG research. Sasang Chejil type seems a very important factor to be controled to minimize the variabilty since Sasang Cheji subgroups showed distinct differences in EEG relative power ao more recording sites and frequency bands than the subgroups of anxiety level and personality type, well-reconized variability-contribution factors. It is likely that Tae-Eum Chejil type is predispositioned to be more relaxed and feel happier and less unhappy than So-Yang type since the former showed greater alpha relative powers and left-hemisphere activations at both of the resting and emotional states.

• Journal of Korea Multimedia Society
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• v.19 no.8
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• pp.1574-1586
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• 2016

The aims of this research is to build Customer Delight index contents model for measuring the influential factors - Customer Delight and identify the relationship among Customer Delight, Customer Satisfaction and Customer Loyalty. Customer Delight hypothesis model was proposed by Catering Service Industry of Starbucks and validate the final questionnaire; 7 point Likert scale was used in the questionnaire, Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) are used to analyze the reliability. And path analysis was used to evaluating the final hypothesis model. The results of this research was that the customer Self-involvement can lead to high awakening level and it also bring positive emotion to the customer. Awakening Level and positive emotion were the key factors for the Customer Delight. Instead of customer expectation, Customer Delight is based on customer awakening level and positive emotion which is different from Customer Satisfaction model. It is clearly to see the discrepancies between Customer Delight and Customer Satisfaction.