• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권10호
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• pp.3498-3512
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• 2021

This article describes how events that make up text stories can be represented and extracted. We also address the results from our simple experiment on extracting and clustering events in terms of emotions, under the assumption that different emotional events can be associated with the classified clusters. Each emotion cluster is based on Plutchik's eight basic emotion model, and the attributes of the NLTK-VADER are used for the classification criterion. While comparisons of the results with human raters show less accuracy for certain emotion types, emotion types such as joy and sadness show relatively high accuracy. The evaluation results with NRC Word Emotion Association Lexicon (aka EmoLex) show high accuracy values (more than 90% accuracy in anger, disgust, fear, and surprise), though precision and recall values are relatively low.

• Asia pacific journal of information systems
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• 제27권3호
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• pp.156-175
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• 2017

The proposed conceptual framework is based in the relationships among knowledge of personal information security, trust on the personal information security policies of parcel delivery service companies, privacy concern, trust in and risk of parcel delivery services, and user satisfaction with parcel delivery services. Drawing upon both cognitive theory of emotion and cognitive emotion theory that complement each other, we propose a research model and examine the relationships between cognitive and emotional factors and the usage of parcel delivery services. The proposed model is validated using data from customers who have previously used parcel delivery services. The results show a significant relationship between the cognitive and affective factors and the usage of parcel delivery services. This study enhances our understanding of parcel delivery services based on the consumers' psychological processes and presents useful implications on the importance of privacy and security in these services.

• 한국콘텐츠학회논문지
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• 제16권2호
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• pp.332-343
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• 2016

디지털 기술의 발달과 함께 색 정보를 획득하고 색 정보를 다양한 콘텐츠와 결합하여 활용할 수 있는 새로운 방법들이 등장하고 있다. 색은 이미지의 요소로서 이미지와 관련된 정보를 주거나 우리의 감성에 영향을 준다. 또한, 색 자극에 의한 감성의 변화나 감각의 변화는 인지 기능에 변화를 가져온다. 본 연구는 인지 기능에 있어서 사용자의 감성에 따른 색 오버레이의 효과에 대해 조사한다. 이 목적에 따라, 20대 성인 남녀 각각 10명을 대상으로 영상을 이용하여 긍정적인 감정과 부정적인 감정을 유도 한 후에 적색/주황색/녹색 오버레이를 적용했을 때의 문제 풀이 능력을 테스트 하였다. 실험 분석 결과 긍정적인 감정 상태에서는 적색이 문제 풀이 능력을 저하시켰고, 부정적인 감정 상태에서는 녹색이 문제풀이 능력을 향상 시켰다. 또한, 색 오버레이 적용애 따른 초기 감정 상태가 인지에 주는 영향을 분석한 결과, 색 오버레이 적용시에는 초기 감정 상태에 따른 차이가 발생하지 않는 반면, 색 오버레이 미적용시에는 긍정적 감정 상태에서 언어 인지 능력이 통계적으로 유의미하게 부정적인 감정 상태에서 보다 향상됨을 보였다.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2008년도 학술대회 1부
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• pp.7-12
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• 2008

사람과 로봇의 인터랙션에 있어 정서의 역할은 중요하다. 그러므로 사람과 유사한 정서 메커니즘이 로봇에게 필요하다. 본 논문에서는 사람의 정서에 대한 심리적 연구를 바탕으로 사람의 내적 요소에 기반한 새로운 인공 정서 표현 시스템을 제안한다. 제안된 시스템은 external stimulus, emotion, mood, personality, tendency, machine rhythm 의 6가지 정보 요소를 활용하며, 각 요소들은 그들의 특성에 따라 결과적으로 emotion 표현 패턴의 변화에 영향을 준다. 그 결과 통일한 외부 자극들은 내적 상태에 따라 emotion의 변화를 만들어 낸다. 제안된 시스템은 사람과 로봇의 자연스러운 인터랙션을 유지하고, 친밀한 관계를 형성할 수 있도록 도움을 줄 것이다.

• 한국컴퓨터정보학회논문지
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• 제21권9호
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• pp.57-63
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• 2016

The purpose of the study is to investigate the preference by emoticon types according to the gender of sender, emotion types of message and intimacy with the recipient. Results show that women mostly prefer to use dynamic and imaged emoticon than men. However, the preference of using text messages increases when both men and women express uncomfortable emotion. Especially, when users send family messages, they tend to prefer for text message. And when users send close friends messages, the preference for dynamic and imaged emoticon is high. When users send distant friends messages, the similar tendency is shown regardless of emotion. These results can provide the information to use emoticon in the filed of education and take advantage in digital education and mobile education.

• Asia pacific journal of information systems
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• 제34권2호
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• pp.372-399
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• 2024

Online reviews play a significant role in consumer purchase decisions on e-commerce platforms. To address information overload in the context of online reviews, factors that drive review helpfulness have received considerable attention from scholars and practitioners. The purpose of this study is to explore the differential effects of discrete emotions (anger, disgust, fear, joy, sadness, and surprise) on perceived review helpfulness, drawing on cognitive appraisal theory of emotion and expectation-confirmation theory. Emotions embedded in 56,157 hotel reviews collected from TripAdvisor.com were extracted based on a transfer learning model to measure emotion variables as an alternative to dictionary-based methods adopted in previous research. We found that anger and fear have positive impacts on review helpfulness, while disgust and joy exert negative impacts. Moreover, hotel star-classification significantly moderates the relationships between several emotions (disgust, fear, and joy) and perceived review helpfulness. Our results extend the understanding of review assessment and have managerial implications for hotel managers and e-commerce vendors.

• 한국프랜차이즈경영연구
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• 제13권3호
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• pp.45-55
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• 2022

Purpose: Consumers' experience of functional attributes is remembered, and the experience lowers the cost of consumers' input from their point of view and reduces uncertainty. It also plays an important role in consumers' positive emotions and responses. Accordingly, if information search costs are reduced in terms of the costs perceived by consumers about restaurants, a strategy differentiated from other companies can be established. Therefore, this study investigated the effect of functional congruence of restaurant stores on information search cost reduction, positive/negative emotions, and loyalty. Research Design, Data, and Methodology: This study investigated functional congruence, information search cost reduction, and positive/negative emotions. The structural relationship between loyalty was analyzed. To verify this, a research hypothesis was established based on previous studies and a research model was constructed. The questionnaire items were modified and used according to the current study, based on previous studies. The data were collected using the questionnaire method from 187 people who had dining out experience. Frequency analysis was performed to confirm demographic characteristics. Reliability, convergent validity, and discriminant validity of the collected data were verified. The research model was analyzed with a structural equation modeling (SmartPLS 4). Results: The findings show that functional congruence had significant positive effects on information search cost reduction and positive emotion, but no significant effect on negative emotion. Information search cost reduction had significant positive effects on positive emotion/negative emotion but did not significantly affect loyalty. Lastly, both positive and negative emotions had significant positive effects on loyalty. Conclusion: Based on transaction cost theory, this study found how functional congruence and information search cost reduction influence consumers' emotions. The functional attributes of restaurants were perceived by customers as information, thus uncertainty was decreased. Finally, appropriate management strategies and implications of functional congruence and information search cost in the restaurant were suggested.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2000년도 춘계 학술대회 및 국제 감성공학 심포지움 논문집 Proceeding of the 2000 Spring Conference of KOSES and International Sensibility Ergonomics Symposium
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• pp.282-288
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• 2000

This paper describes the basic concept and processes underlying human design technology, and outlines Kansei design base on this logical approach.

• 한국멀티미디어학회논문지
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• 제25권2호
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• pp.215-220
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• 2022

Emotion recognition is one of the most important and challenging areas of computer vision. Nowadays, many studies on emotion recognition were conducted and the performance of models is also improving. but, more research is needed on emotion recognition and sentiment analysis of video viewers. In this paper, we propose an emotion analysis system the includes a sentiment analysis model and an interest prediction model. We analyzed the emotional patterns of people watching popular and unpopular videos and predicted the level of interest using the emotion analysis system. Experimental results showed that certain emotions were strongly related to the popularity of videos and the interest prediction model had high accuracy in predicting the level of interest.

• 한국의류산업학회지
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• 제7권2호
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• pp.162-168
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• 2005

The pictures of design details, such as collar type, sleeve type, skirt type, and skirt length, and color tone were evaluated by 377 persons in terms of sensibility and emotion. The data were analyzed by SPSS using ANOVA and Factor analysis to find out the most effective types of details on consumer's sensibility and emotion, and the methods were introduced. The most effective type is skirt length on sensibility and emotion of women's dress. The second type is different according to sensibility and emotion. Sensibility and emotion were composed of three concept: contemporary, mature and character. Sleeve type is second determinant to contemporary concept, and color tone is to mature concept, collar type is to character concept. 41 each details of design were positioned into 3D-concept space to connect each detail type and fashion concept of women's dress.