• Asia pacific journal of information systems
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• v.33 no.3
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• pp.541-572
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• 2023

Amazon Go is a cashierless convenience store concept, which is seen as a disruption in the grocery retail segment. Although Amazon Go has the ability to disrupt the retail segment, there are speculations on how Amazon Go will be perceived by users. Existing studies have not utilized user-generated content to understand the factors that affect customer behaviour in case of Amazon Go. Additionally, in case of phygital retail, studies have not attempted at understanding the effect of emotions and gratifications on user behaviour. To address the gap of exploring user perspectives based on their experience, we have examined the impact of gratifications and emotions on the acceptance of phygital retail using user-generated-content. A mixed-method approach has been utilized using only user-generated content. Utilizing topic-modelling based content analysis and emotion analysis on 30 articles related to Amazon Go, we found themes like, convenience, technology, experience, personalization, enjoyment and emotions like, bad, good, annoyance, success. In the empirical analysis, we have utilized 522 reviews about Amazon Go from the cognition and emotion theory stance, and found that hedonic gratifications have a positive impact on challenge emotions. We also found a significant impact of emotions on customer's favourite behaviour.

• Smart Media Journal
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• v.13 no.6
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• pp.35-43
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• 2024

During the post-pandemic period, the interest in foreign language learning surged, leading to increased usage of language-learning apps. With the rising demand for these apps, analyzing app reviews becomes essential, as they provide valuable insights into user experiences and suggestions for improvement. This research focuses on extracting insights into users' opinions, sentiments, and overall satisfaction from reviews of HelloTalk, one of the most renowned language-learning apps. We employed topic modeling and emotion analysis approaches to analyze reviews collected from the Google Play Store. Several experiments were conducted to evaluate the performance of sentiment classification models with different settings. In addition, we identified dominant emotions and topics within the app reviews using feature importance analysis. The experimental results show that the Random Forest model with topics and emotions outperforms other approaches in accuracy, recall, and F1 score. The findings reveal that topics emphasizing language learning and community interactions, as well as the use of language learning tools and the learning experience, are prominent. Moreover, the emotions of 'admiration' and 'annoyance' emerge as significant factors across all models. This research highlights that incorporating emotion scores into the model and utilizing a broader range of emotion labels enhances model performance.

• 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.

• Journal of the Korean Chemical Society
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• v.67 no.4
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• pp.253-270
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• 2023

The purpose of this study was to examine the effect of student-led assessment on achievement emotions and science concept understanding in middle school science classes. For this purpose, 4 of the 7 classes in the third grade of mid- dle school in small and medium-sized cities were selected as the experimental group and conducted student-led assessment, while the comparative group (3 classes) conducted teacher-led assessment. The student-led assessment consisted of 4 stages in which learners took initiative to set learning goals and develop assessment criteria, conduct self assessment and peer assess- ment, and carry out seven assessment activities. Student-led assessment was effective in improving positive achievement emotions and relieving negative achievement emotions and increasing students' science concept understanding in middle school students. Students perform student-led assessment, grasp their reach, and repeatedly go through reflective thinking to compensate for deficiencies in the learning process. Therefore, student-led assessment can be used as a tool to increase science concept understanding by continuously checking the level of science concept understanding.

• Journal of Oriental Neuropsychiatry
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• v.26 no.2
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• pp.143-160
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• 2015

Objectives: The study purpose was to test the validity and reliability of the core emotional assessment questionnaire based on the seven emotions. Methods: Survey data were from 651 individuals and contained 141 items determined from a previous pilot study. Among the participants, 241 were retested. First, following analysis of the internal consistency reliability of the 141 items, we deleted items with Cronbach-$\alpha$ coefficient below 0.5. We then selected 100 final items after the first factor analysis. Second, the final 100 items were evaluated by internal consistency reliability, test-retest reliability, factor analysis, and correlational analysis. Results: Cronbach-$\alpha$ coefficient for the final 100 items were 0.866~0.956 and the test-retest reliability were above 0.70. The 100 items categorized into 7 factors explained 53.8% of the total variance. Analyzing the correlation of each chiljeong, we had a high positive correlation above 0.70 between sa and bi, bi and u, gong and kyeong. Conclusions: The final 100 items used for the core emotional assessment questionnaire based on the seven emotions showed satisfactory reliability and validity. Thus, it may be an appropriate instrument for measuring Chiljeong in the general population.

• Journal of Oriental Neuropsychiatry
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• v.25 no.1
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• pp.85-108
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• 2014

Objectives: Chiljeong means the basic emotions containing joy, anger, anxiety, depression, fear and fright in Korean traditional medicine. Chiljeong was considered as a cause diseases or syndrome. The pathology of Chiljeong described the action of the gi and the principle of eumyangohaeng. When we treat the psychiatric symptoms in Korean traditional medicine, we need to understand the pathologic mechanism of Chiljeong. Methods: We extract the sentences regarding Chiljeong, Oji, Chilgi and Gugi along with the related words in Donguibogam. We analyze the selected sentences and classify the pathologic mechanism according to the general and seven emotions. Results: We found that several parts were related to Chiljeong, except the Sinmun, including the psychiatric symptoms in Donguibogam. Conclusions: The most frequently mentioned affected areas of basic Jangbu are Sim and Gan. The pathologic mechanism of general emotion was categorized by sentences into 4 groups, Giul, Dameum, Hwa and Heo.

• Journal of Korea Entertainment Industry Association
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• v.14 no.7
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• pp.227-237
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• 2020

In the 30th edition of , Chunhyang is conventionally presented as a woman who tries to protect her chastity and it eventually bears the fruits of her love. On the other hand in , Chunhyang is reinterpreted as a woman who strives to protect feminist self-consciousness and beliefs, even in unreasonable social situations. By comparing the two different works, we can see differences in the behavior of the characters in how to overcome various obstacles, such as irregularity, gender discrimination, and identity conflict. By reinterpreting the emotions of the characters in the classic novel into the emotions of the modern characters, we can see the how the characters grow when trying to overcome the situation and find a solution, even though there is no change yet. This can be seen as the emotions of the characters become different as time goes by. As the times go by, the world's values and inclinations also change, and the irrationalities of the world will also go in various directions. Through the fusion of culture into history, even though it's irrational but we become familiar with it and will clearly understand the absurdities, and we can look forward to changes in the process.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.1
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• pp.1-6
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• 2005

In this paper, we propose an emotion recognition method using the facial images and speech signals. Six basic emotions including happiness, sadness, anger, surprise, fear and dislike are investigated. Facia] expression recognition is performed by using the multi-resolution analysis based on the discrete wavelet. Here, we obtain the feature vectors through the ICA(Independent Component Analysis). On the other hand, the emotion recognition from the speech signal method has a structure of performing the recognition algorithm independently for each wavelet subband and the final recognition is obtained from the multi-decision making scheme. After merging the facial and speech emotion recognition results, we obtained better performance than previous ones.

• Asia Marketing Journal
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• v.21 no.2
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• pp.21-49
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• 2019

This study examines a model which simultaneously contains two paths between waiting line and purchase intention: one tested the positive effect of waiting line through consumers' perceived quality, whereas another one go through consumers' emotional state to test the negative effect of waiting line on purchase intention. To further understand perceived quality, the study divided perceived quality into perceived product quality and perceived service quality. The study used restaurants in the experiment. Results indicated that although long waits in line will directly increase both consumers' product quality perception and negative emotions, the total indirect effects on purchase intention are still significantly positive. For consumers' perceived service quality, long waiting situations have no such effect on it. Significant results from a moderation analysis also shown that consumers in low-level knowledge settings are more influenced by waiting lines than those in high-level knowledge settings when they make the product's quality-related judgment. However, the level of consumer knowledge does not moderate the relationship between waiting lines and service quality.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.1027-1028
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• 2023

학교상담은 학생들의 학업 및 심리적 건강을 촉진하는 핵심 구성 요소 중 하나로 자리 잡고 있으며, 코로나 19 로 인한 언택트 시대로의 전환은 비대면 상담 방식의 혁신을 촉발하였다. 본 연구는 AI 챗봇을 활용한 상담 서비스를 통해 학교상담의 효과를 높이고, 학생들의 학업 및 심리적 건강에 대한 지원을 강화하는 데 주력한다. 이러한 연구는 미래의 학교 상담 서비스 분야에 크게 이바지할 것으로 기대된다.