• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.1
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• pp.162-168
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• 2014

In this study, we propose a emotion sharing system that is sharing users emotion change according to the location of the user where users was shared his emotion information and to the emotion. The system consists of a emotion sharing server and mobile smartphone apps. Emotion smartphone app represent status of emotion and location of users who wants to share emotion at map services based the Google Map API. Emotion sharing server was implemented using a RESTful way to allow emotion sharing between different variety platform besides mobile platforms. Emotion information that is exchanged on a emotion sharing server is stored in an XML fromat. We were confirm emotion sharing system that it could be sharing moving emotion change according to the user's location through map service.

• The Journal of the Korea Contents Association
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• v.16 no.2
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• pp.82-95
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• 2016

This research has analyzed the influence of information search on festival image, emotional response, re-visit intention and intention to share information. Image of festival was assumed to be composed of three components of cognitive, affective and unique image. Emotional response was divided into positive and negative emotion. As the results of influence analysis, word of mouth-effect and online media such as SNS had a significant effect on unique image of the festival. whereas official homepage showed a significant impact on cognitive image. Among three factors of image, affective image had a great influence on positive emotion. as three image factors are associated with positive emotion. Also, Affective emotion was analyzed to have significant influence on re-visit intention and intention to share information.

• The Journal of Korean Institute of Information Technology
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• v.17 no.9
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• pp.123-131
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• 2019

Social network service users actively express and share their feelings about social issues and content of interest through postings. As a result, the sharing of emotions among individuals and community members in social network is spreading rapidly. Therefore, resulting in active research of emotion analysis on posting of users. However, There is insufficient research on emotion analysis for postings containing various emotions. In this paper, we propose a method that analyzes the emotions of an Instagram posts using hashtags and images. This method extracts representative emotion from user posts containing multiple emotions with 66.4% accuracy and 81.7% recall, which improves the emotion classification performance compared to the previous method.

• The Journal of Information Systems
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• v.25 no.2
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• pp.111-129
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• 2016

Purpose Today, world-wide societies share their daily life and many communities exchange their information through the explosive developed SNS and the social media systems. However, many SNS fatigue related factors forced the discontinuance of SNS. This paper is aim to examine effect of SNS feature and negative emotion to figure out the reason of SNS discontinuance. This is verifying the effect of maintenance of SNS, security concern and psychological concern on SNS fatigue and the effect of upward/lateral comparison on negative emotion. Moreover, the effect of SNS fatigue and negative concern on the SNS discontinuance intention was examined. Design/methodology/approach This research used to the survey method to test its hypotheses and the survey population is Facebook SNS users. A software tool called AMOS 18 is used to analyze the structural equation model. Findings The results showed that maintenance of SNS, security concern and psychological concern had a positive effect on SNS fatigue respectively and upward/lateral comparison did on negative emotion. In addition, SNS fatigue and negative emotion had significant effect on discontinuance intention.

• Asia Marketing Journal
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• v.19 no.4
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• pp.1-14
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• 2018

Social networking service(SNS) helps users manage, share and delivery a vast information as a communication tool. When users read crisis news in SNS, they communicate the information with others by considering not only their belief (i.e., cognitive risk perception) but also emotion (i.e., affective risk perception). However, few researches have been interested in the construct of communication behaviors of crisis in SNS. This study aimed to explore the role of risk perception (cognitive and affective risk perception) between crisis responsibility and communication behavior through dual processing theory. As a result of the empirical analysis, crisis responsibility had a positive effect on cognitive risk perception and affective risk perception. In addition, cognitive risk perception had no significant effect on communication behavior whereas affective risk perception had influence on communication behavior positively. Thus, our findings may predict that the affective risk perception through crisis responsibility is more potentially important to communication behavior such as sharing information rather than cognitive risk perception. The results give insightful ideas why marketer should reduce perceived emotion caused by risk to strengthen prospective SNS users understanding of communication behavior intention.

• Journal of Convergence for Information Technology
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• v.10 no.10
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• pp.40-46
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• 2020

With the development of the Internet, users share their experiences and opinions. Since related keywords are used witho0ut considering information such as the general emotion or genre of an unstructured document such as a movie review, the sensitivity accuracy according to the appropriate emotional situation is impaired. Therefore, we propose a system that predicts emotions based on information such as the genre to which the unstructured document created by users belongs or overall emotions. First, representative keyword related to emotion sets such as Joy, Anger, Fear, and Sadness are extracted from the unstructured document, and the normalized weights of the emotional feature words and information of the unstructured document are trained in a system that combines CNN and LSTM as a training set. Finally, by testing the refined words extracted through movie information, morpheme analyzer and n-gram, emoticons, and emojis, it was shown that the accuracy of emotion prediction using emotions and F-measure were improved. The proposed prediction system can predict sentiment appropriately according to the situation by avoiding the error of judging negative due to the use of sad words in sad movies and scary words in horror movies.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1998.04a
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• pp.287-292
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• 1998

The purpose of the subjects described in this paper is to share the inforamation and utilize expensive equipmints and supercomputer at remote site ghrough the latist telecommunication and control technology without tempoual and spatial limitation. The major subjects areabstracted as two. One for developing computer supported cooperative works and experimintal systims which make it possible that researchers discuss about the result of collaborated research and exchange data. And the other for connecting the university, research institutes and industries in the country to information Highway applying developed systim. The gargeted filds of this project are Machinery Design, Chemistry and Chemical Engineering and wil be expanded to polymer Engineering, Medicine, Agricultural Chemicals.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.1
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• pp.1-15
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• 2019

Internet of Things (IoT) is commonly referred to as a future internet technology to provide advanced services by interconnecting physical and virtual things, collecting and using many data from them. The IoT platform is a server platform with a common architecture to collect and share the data independent of the IoT devices and services. Recently, oneM2M, the global standards initiative for Machine-to-Machine (M2M) communications and the IoT announced the availability of oneM2M Release 2 specifications. Accordingly, this paper presents a new oneM2M-compliant IoT platform called Mobius 2.0 and proposes its application to collect the biosignal data from wearable IoT devices for emotion recognition. Experimental results show that we can collect various biosignal data seamlessly and extract meaningful features from the biosignal data to recognize two emotions of joy and sadness.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.7 no.2
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• pp.69-81
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• 2014

SBS has developed "Social DMB App" and now the service through Android market, where the viewers can produce and share their emotion related in program using twitter while watching real-time DMB broadcasting program at the same time. Previously, it is difficult to combine TV and social media because of the difference of family shared medium and individual service. But, DMB, individual mobile broadcast service, can offer new interest to the viewer by integrating social media service and broadcast. The service base was provided to the viewer where they can use original contents of broadcasters by constructing social circle and they are able to express and share their emotion through social DMB app. In this paper, introduce of development technical for social DMB app service include of configuration app servic, link of DMB broadcasting and facebook.

• Journal of the Korea Society of Computer and Information
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• v.15 no.7
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• pp.75-81
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• 2010

In this paper, we propose an emotion messenger which recognizes face or hand gestures of a user using a WebCAM, converts recognized emotions (joy, anger, grief, happiness) to flash-cones, and transmits them to the counterpart. This messenger consists of face recognition module, hand gesture recognition module, and messenger module. In the face recognition module, it converts each region of the eye and the mouth to a binary image and recognizes wink, kiss, and yawn according to shape change of the eye and the mouth. In hand gesture recognition module, it recognizes gawi-bawi-bo according to the number of fingers it has recognized. In messenger module, it converts wink, kiss, and yawn recognized by the face recognition module and gawi-bawi-bo recognized by the hand gesture recognition module to flash-cones and transmits them to the counterpart. Through simulation, we confirmed that CPU share ratio of the emotion messenger is minimized. Moreover, with respect to recognition ratio, we show that the hand gesture recognition module performs better than the face recognition module.