• Korean Journal of Human Ecology
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• v.6 no.1
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• pp.79-88
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• 1997

The postpurchase process is the phase that consumers evaluate products or services while using them. And then, they may experience satisfaction/dissatisfaction and emotions elicited products or services. The satisfaction and emotions may be important concepts in consumer behavior such as brand attitude, purchase intentions and using. The purpose of this study was to examine the effects of emotions elicited clothing products on product satisfaction and using in postpurchase. The subjects in this study were selected 500 females. The data were collected by using questionnaires, and 431 data were analysed. The results were as follows: The emotions in postpurchase process were consisted of three dimensions; unpleasure, pleasure, security/activity. These three emotions had the causal effects on product satisfaction significantly, and the unpleasure influenced stronger than others on satisfaction. In addition, the emotions were related to using and the ownership of clothing products. The emotions of pleasure and the security/activity influenced on the ownership, and the security/activity and unpleasure influenced on using clothing products. Therefore, the results in this study imply that consumption emotions elicited clothing products would be multidimensional, and the emotional factors would be important indicators for explaining the satisfaction. The positive affects were related to using clothes, which is, the consumer would have fulfilled their hedonic desires by wearing clothes. Also, the positive affects would be the basis for marketing strategies of sales promotions in clothing products.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.14 no.2
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• pp.13-24
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• 2010

Background and purpose: Seven Emotions consist of Joy(喜), Anger(怒), Anxiety(憂), Thought(思), Sorrow(悲), Fear(恐), Fright(驚). If Seven Emotion is excessive, its extreme mental stimulation causes physical illness. There was no study of the Seven Emotion Disease in detail for now. Therefore the purpose of this study is to pigeonhole the Seven Emotion Disease. Methods: We extract the sentences about the Seven Emotion and related words in Donguibogam. We classify the sententences into Joy(喜), Anger(怒), Anxiety(憂), Thought(思), Sorrow(悲), Fear(恐), Fright(驚), Frustration, Mental Exhaustion, Character. We analysis pattern of Symptoms Derived from Seven Emotions. Results and Conclusions Seven Emotion give rise to various type of symptom. In special Anger cause more illness than other Seven Emotion.

• International Journal of Advanced Culture Technology
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• v.6 no.3
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• pp.117-128
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• 2018

This study attempts to derive the possibility of literary therapy through addition and subtraction of emotional codons. It is presumed that the remnants of the emotions formed by the addition and subtraction of emotions will remain in the human body and cause chemical reactions. When this research is activated, cluster of emotional codons will be created by a combination of literary emotions. This is expected to accelerate therapeutic action of sentences by encoding certain emotional codons in AI.

• Electronics and Telecommunications Trends
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• v.37 no.1
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• pp.21-31
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• 2022

Human behavior and emotions are influenced by experiences accumulated through the past and present. To realize artificial intelligence technology that understands and sympathizes with humans, cognitive computing technology that automatically analyzes human behaviors, habits, and emotions associated with specific situations and uses past data and domain knowledge is required. In this study, we examine the latest research trends on human-understanding cognitive computing technology that recognizes human behavior and emotions, stores them as experience data, and provides services by analyzing the stored data. Further, we introduce high-quality data collection research in real-life and services for improving physical and mental health. We also review key issues essential for developing these technologies.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1776-1780
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• 2004

In this paper, we propose the new emotion model and the robot behavior decision model based on proposed emotion model. As like in human, emotions are hierarchicalized in four levels (momentary emotions, mood, attitude, and personality) and are determined from the robot behavior and human responses. They are combined with motivation (which is determined from the external stimuli) to determine the robot behavior.

• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.26-34
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• 2024

Most human emotions are conveyed through facial expressions, which represent the predominant source of emotional data. This research investigates the impact of crowds on human emotions by analysing facial expressions. It examines how crowd behaviour, face recognition technology, and deep learning algorithms contribute to understanding the emotional change according to different level of crowd. The study identifies common emotions expressed during congestion, differences between crowded and less crowded areas, changes in facial expressions over time. The findings can inform urban planning and crowd event management by providing insights for developing coping mechanisms for affected individuals. However, limitations and challenges in using reliable facial expression analysis are also discussed, including age and context-related differences.

• Journal of Distribution Science
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• v.6 no.2
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• pp.61-79
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• 2008

This paper studies on the influence of customers' perceived store crowding, shopping emotions, shopping value, and repatronage intention. The result is as follows. First, human crowding and spatial crowding influence two dimensions of shopping emotions: positive shopping emotions and negative shopping emotions. Especially human crowding influences positively on positive shopping emotions while spatial crowding influence positively on negative shopping emotions, which means that shoppers visiting stores feel negative shopping emotions toward spatial crowding, but that shoppers' crowding in stores can arose positive shopping emotions which intrigue interest and liveliness. Second, positive shopping emotions and negative shopping emotions influence two dimensions of shopping values: hedonic shopping value and utilitarian shopping value. Especially positive shopping emotion influences positively on utilitarian shopping value and hedonic shopping value while negative shopping emotion influence negatively on utilitarian shopping value and hedonic shopping value. Third, the result shows that shoppers' shopping values influences positively on repatronage intention.

• ETRI Journal
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• v.35 no.5
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• pp.869-879
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• 2013

This study is related to the acquisition of physiological signals of human emotions and the recognition of human emotions using such physiological signals. To acquire physiological signals, seven emotions are evoked through stimuli. Regarding the induced emotions, the results of skin temperature, photoplethysmography, electrodermal activity, and an electrocardiogram are recorded and analyzed as physiological signals. The suitability and effectiveness of the stimuli are evaluated by the subjects themselves. To address the problem of the emotions not being recognized, we introduce a methodology for a recognizer using prototype-based learning and particle swarm optimization (PSO). The design involves two main phases: i) PSO selects the P% of the patterns to be treated as prototypes of the seven emotions; ii) PSO is instrumental in the formation of the core set of features. The experiments show that a suitable selection of prototypes and a substantial reduction of the feature space can be accomplished, and the recognizer formed in this manner is characterized by high recognition accuracy for the seven emotions using physiological signals.

• Korean Journal of Human Ecology
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• v.16 no.3
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• pp.455-463
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• 2007

The purpose of this study was to compare Korean mothers' and fathers' reactions to their children's negative emotions. The survey with questionnaire was performed with 179 mothers and 179 fathers of children aged three to five-years-old from three child care centers in Seoul and Kyoungki Province. Parental emotion-related practices regarding children's negative emotions were assessed with an adaptation of the CCNES-R(Cortes, 2002), and parental reactions were categorized as problem-focused, emotion-focused, expressive encouragement, emotion-teaching, punitive, parental distress and minimizing. The main results were as follows. First, Korean mothers and fathers, in general, used more positive reactions than negative reactions when their children showed negative emotions, in particular problem-focused reactions were mostly used. In addition, Korean mothers were significantly higher than fathers on problem-focused and emotion-teaching reactions. Second, Korean mothers' and fathers' reactions to their children's negative emotions were significantly different depending on the educational level of mothers, mothers' job and fathers' job. But there was no significant differences in parent's reactions according to children's sex and age. The findings in this study provide implication for an association between parent's reactions to children's negative emotions and parent's socioeconomic background.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.51 no.11
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• pp.528-534
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• 2002

This paper describes a technique for human sensibility evaluation using EEGs of 4 emotions. The proposed method uses the linear predictor coefficients as EEG feature parameters and a neural network as sensibility pattern classifier. For subject independent system, multiple templates are stored and the most similar template can be selected. EEG signals corresponding to 4 emotions such as relaxation, joy, sadness and anger are collected from 5 armature performers. The states of relaxation and joy are considered as positive sensibility and those of sadness and anger as negative. The classification performance suing the proposed method is about 72.6%. This may be promising performance in the human sensibility evaluation.