• Journal of Digital Convergence
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• v.10 no.2
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• pp.287-292
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• 2012

In this paper, user personalized services through the emotion perception required to support location-based sensing data preprocessing techniques and emotion data preprocessing techniques is studied for user's emotion data building and preprocessing in V-A emotion model. For this purpose the granular context tree and string matching based emotion pattern matching techniques are used. In addition, context-aware and personalized recommendation services technique using probabilistic reasoning is studied for personalized services based on context awareness.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.821-823
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• 2016

본 논문은 다차원 정서모델 기반 영상, 음성, 뇌파를 이용한 멀티모달 복합 감정인식 시스템을 제안한다. 사용자의 얼굴 영상, 목소리 및 뇌파를 기반으로 각각 추출된 특징을 심리학 및 인지과학 분야에서 인간의 감정을 구성하는 정서적 감응요소로 알려진 다차원 정서모델(Arousal, Valence, Dominance)에 대한 명시적 감응 정도 데이터로 대응하여 스코어링(Scoring)을 수행한다. 이후, 스코어링을 통해 나온 결과 값을 이용하여 다차원으로 구성되는 3차원 감정 모델에 매핑하여 인간의 감정(단일감정, 복합감정)뿐만 아니라 감정의 세기까지 인식한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.501-502
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• 2022

최근 작성한 일기를 SNS에 올려 평범한 사람들이 음악, 음식, 사건 등 소소한 일상을 남기고 우울증 투병기를 공유하여 힘을 얻기도 하는 등 누가 시키지 않아도 일기를 작성하고 간직하는 사람들이 증가하고 있다. 이러한 변화로 일기는 하루의 일상을 기록하는 목적을 넘어 어떤 감정을 느꼈는지 알아차리고 자아를 성찰 및 탐구하는 단계로 발전하고 있다. 그러나 스스로 일기의 키워드를 분석하고 감정이 어떠한지 정확하게 아는 것은 어렵다. 이에 따라 본 논문에서는 제시한 문제를 해결하기 위한 방법으로 KoBERT와 KoNLPy를 활용한 키워드 및 감정분석 일기 서비스를 제안하였다. 본 연구의 키워드 및 감정분석 일기 서비스는 사용자가 무의식적으로 표현하는 텍스트 기반의 일기에서 자주 반복되는 키워드와 감정을 제공하여 자신의 감정상태를 쉽게 인지하고 되돌아볼 수 있도록 제작하였다.

• Journal of Korea Game Society
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• v.16 no.1
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• pp.23-32
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• 2016

A recent emotion research has attracted attention as an element to enhance the interaction with the user to play the game. Emotion expressed in the previous game was using a simple structure. However, increasing the user's needs of emotions that have been used in the game is necessary to structure the emotions caused. In this paper, it was utilized for the character of emotion in the game rules of the proposed emotion based on the principle of biological feelings. And it was classified a game component that affects the emotions and character provides a structure for recognizing the emotion from the game. This paper provides a structural framework to be considered in order to analyze emotions used in existing game to the role of emotion, to express emotion in the game.

• Science of Emotion and Sensibility
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• v.22 no.4
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• pp.45-56
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• 2019

The regulation of emotion is known to mediate the relationship between emotion-relevant differences in individuals and their life outcomes. This study attempted to include a situational factor in addition to the mediation model and investigated whether this conditional component changed the patterns of indirect effects. The researchers recruited 180 emotional laborers working in diverse domains and used a questionnaire to ascertain their negative affectivity, cognitive reappraisal, emotional exhaustion, and the intensity of negative comments they usually received from customers. The results of the conditional indirect effect analysis revealed the positive indirect influence of negative affectivity on emotional exhaustion through cognitive reappraisal when emotional labors receive highly negative comments from customers (high intensity of the situation). Similarly, negative indirect effects were found when emotional labors receive slightly negative comments from customers (low intensity of the situation). The outcomes of this study suggest that cognitive reappraisal can mediate to decrease emotional exhaustion in contexts that arouse more intensive negative emotions; it can also mediate to increase emotional exhaustion in contexts that arouse less intensive negative emotions. The implications of this study include the importance of integrating individual differences with situational factors. The study also provides information about the distinctiveness of groups of emotional laborers.

• Proceedings of the Korean Society of Computer Information Conference
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• 2010.07a
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• pp.411-412
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• 2010

전통적으로 자연어 텍스트로부터의 감정인식 연구는 감정 키워드에 기반한다. 그러나 감정 키워드만을 이용하면 자연어 문장이 원래 갖고 있는 통사정보나 의미정보는 잃어버리게 된다. 이를 극복하기 위해 본 논문에서는 자연어 텍스트를 Predicate Logic 형태로 변환하여 감정 정보처리의 기반데이터로 사용한다. Predicate Logic형태로 변환하기 위해서 의존 문법 구문분석기를 사용하였다. 이렇게 생성된 Predicate 데이터 중 감정 정보를 갖고 있는 Predicate만을 찾아내는데 이를 위해 Emotional Predicate Dictionary를 구축하였고 이 사전에는 하나의 Predicate마다 미리 정의된 개념 클래스로 사상 시킬 수 있는 정보를 갖고 있다. 개념 클래스는 감정정보를 갖고 있는지, 어떤 감정인지, 어떤 상황에서 발생하는 감정인지에 대한 정보를 나타낸다. 자연어 텍스트가 Predicate으로 변환되고 다시 개념 클래스로 사상되고 나면 KBANN으로 구현된 Lazarus의 감정 생성 규칙에 적용시켜 최종적으로 인식된 감정을 판단한다. 실험을 통해 구현된 시스템이 인간이 인식한 감정과 약 70%이상 유사한 인식 결과를 나타냄을 보인다.

• Journal of Digital Convergence
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• v.14 no.4
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• pp.267-276
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• 2016

This paper aims to examine the effects of perceived justice of service recovery efforts on the customer relationship performance in mobile social commerce. To this end, we classified cognitive-affective trusts and post-recovery satisfaction into the customer relationship performance. This research employs a field survey of customers who experienced service failures in mobile social commerce and a covariance structural model analysis in order to test hypotheses of our research model. The findings present that all justices of service recovery efforts positively affect the cognitive trust, whereas the only procedural justice significantly influences the affective trust. In addition, the results show that cognitive-affective trusts have a positive effect on the post-recovery satisfaction. Our results suggest practical implications that are used to help managers maintain and improve relations with the customers who experienced service failures and to increase the post-recovery satisfaction.

• Journal of Convergence for Information Technology
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• v.12 no.1
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• pp.55-65
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• 2022

This study examines the relationship between customer experience, customer-influencer relationship quality, and customer behaviors. This study employed questionnaire survey and collected 413 data. The structural equation modeling (SEM) method is used to test the hypotheses of the study. As a result of the study, it was found that among customer experiences, emotional experience had a greater effect on hot IRQ than cold IRQ, and cognitive experience had a greater effect on cold IRQ than hot IRQ. And it was found that hot IRQ had a greater effect on relationship retention intention than recommendation intention, and cold IRQ had a greater effect on recommendation intention than relationship maintenance intention. This study provides various implications both theoretically and practically by examining the relationship quality between customers and influencers.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.137-142
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• 2024

User interface (UI) functions are distorted and appear as a dark pattern that intentionally deceives or entices users. Consumers who are unaware of dark patterns are constrained in their choices, resulting in unnecessary economic damage. In this study, we aimed to investigate consumers' various shopping emotions and behavioral intentions after recognizing dark patterns in online shopping malls through qualitative research methods. As a result of the study, the rate of perception differed slightly depending on the type of dark pattern, and it was found that it induced consumer emotions such as distrust of the company, user deception, and displeasure. It has been found that the behavior after recognizing the dark pattern shows passive behaviors such as vowing to prevent recurrence and warning acquaintances rather than actively protesting to the company and demanding compensation for damages.

• Management & Information Systems Review
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• v.30 no.1
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• pp.1-37
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• 2011

Prior researches on Internet shopping have focused on cognitive, technological factors, but this research is focused on emotions experienced during internet shopping. Examines emotion types experienced during internet shopping and shopping mall characteristics influencing emotional response and effect of emotions on internet shopping behavior, specifically focusing on shopping motivation difference. The data, collected from a sample of 323 internet shoppers, indicate that emotion types experienced during internet shopping and shopping mall characteristics influencing emotional response and emotional response influencing internet shopping behavior are difference among shopping motivation. Theses results provide insights on internet shopping mall management according to shopping motivation.