• The Journal of the Korea Contents Association
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• v.14 no.4
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• pp.287-296
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• 2014

Given rapid growth of mobile messenger services (MMSs) such as KakaoTalk, Line, and Wechat, it has become critical to understand the mechanisms that lead to user loyalty in the MMS context. In this regard, this study examined key factors of user loyalty in the MMS environment. We posit attitudinal loyalty and IT expertise as key drivers of behavioral loyalty. In addition, the impacts of perceived usefulness and emotion on attitudinal loyalty were examined. Data collected from 235 KakaoTalk users who have used more than 1 year were empirically tested against a research model using partial least squares. The analysis results found that both attitudinal loyalty and IT expertise play an important role in enhancing behavioral loyalty in the MMS context. The findings of this study indicate that perceived usefulness and positive emotion significantly influence attitudinal loyalty, whereas negative emotion negatively affects it. The analysis results provide several insights that can help MMS providers understand the role of emotion in enhancing user loyalty.

• Journal of Korea Multimedia Society
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• v.18 no.9
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• pp.1068-1082
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• 2015

Due to the rapid advancement of the mobile technology, smart phones have been widely used in the current society. This lead to an easier way to retrieve video contents using web and mobile services. However, it is not a trivial problem to retrieve particular video contents based on users' specific preferences. The current movie recommendation system is based on the users' preference information. However, this system does not consider any emotional means or perspectives in each movie, which results in the dissatisfaction of user's emotional requirements. In order to address users' preferences and emotional requirements, this research proposes a movie recommendation technology to represent a movie's emotion and its associations. The proposed approach contains the development of emotion ontology by representing the relationship between the emotion and the concepts which cause emotional effects. Based on the current movie metadata ontology, this research also developed movie-emotion ontology based on the representation of the metadata related to the emotion. The proposed movie recommendation method recommends the movie by using movie-emotion ontology based on the emotion knowledge. Using this proposed approach, the user will be able to get the list of movies based on their preferences and emotional requirements.

• 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.

• Proceedings of the Korea Society of Design Studies Conference
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• 2004.05a
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• pp.188-189
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• 2004

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2012.05a
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• pp.93-95
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• 2012

• Journal of Integrative Natural Science
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• v.11 no.3
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• pp.131-138
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• 2018

In this paper, we have implemented speeches that utilized the emotion information of the user's speech and image matching and recommendation system. To classify the user's emotional information of speech, the emotional information of speech about the user's speech is extracted and classified using the PLP algorithm. After classification, an emotional DB of speech is constructed. Moreover, emotional color and emotional vocabulary through factor analysis are matched to one space in order to classify emotional information of image. And a standardized image recommendation system based on the matching of each keyword with the BM-GA algorithm for the data of the emotional information of speech and emotional information of image according to the more appropriate emotional information of speech of the user. As a result of the performance evaluation, recognition rate of standardized vocabulary in four stages according to speech was 80.48% on average and system user satisfaction was 82.4%. Therefore, it is expected that the classification of images according to the user's speech information will be helpful for the study of emotional exchange between the user and the computer.

• Science of Emotion and Sensibility
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• v.13 no.1
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• pp.111-120
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• 2010

Initial stage of emotion has a great influence on building up product image and impression. Because of its influencing effects, measuring initial stage of emotion has potential to be a key factor for designers and marketers to achieve a distinct product concept. While many researchers have studied this topic with the emotion measurement method in product use stage, there are very few cases specialized in the initial stage of emotion. Even though present emotion measurement methods have difficulties to derive accurate user's initial stage of emotion, most case of initial emotion study applies these defective methods. The purpose of this study is to develop initial stage of emotion measurement method and apply this method to real product context. In the design of the initial stage of emotion measurement method, noticeable characteristics of initial stage of emotion were explored and initial emotion measurement framework was presented. Based on this framework, Initial Emotion Measurement System(IEMS) was suggested. This method collects user's eye movement, behavior and verbal data accurately and objectively.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.4
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• pp.195-200
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• 2015

Recently, most people use android based smartphones and we can find music players in any smartphones. However, it's hard to find a personalized music player which applies user's preference. In this paper, we propose an emotion-based music player, which analyses and classifies the music with user's emotion, recommends the music, applies the user's preference, and visualizes the music by color. Through the proposed music player, user could be able to select musics easily and use an optimized application.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.05a
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• pp.55-58
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• 2009

본 연구는 주관적인 사용자의 감성을 객관적으로 정의하여 2차원 감성 모델에 의한 터치폰의 GUI 디자인 요소에 대한 디자인 가이드라인을 제시하고자 한다. 본 연구는 다음과 같은 단계로 연구를 진행하였다. 첫 번째 단계로 그루밍(Grooming) 사용자들의 라이프 스타일을 조사하여 Norman(2002)에 의거한 감각적, 행태적, 그리고 심볼적 세 가지 레벨의 감성요소를 추출하였다. 두 번째 단계로 Russell(1980)의 28개 감성 어휘와 세 단계 감성과의 관계성을 설문하여 감성모델을 구현하였다. 마지막으로 요인분석을 이용하여 대표 감성 어휘를 도출한 후 감성적 터치폰의 GUI(Graphic User Interaction) 디자인 요소를 제시함으로써 사용자의 감성이 반영된 인간 중심적인 제품 디자인을 위한 가이드라인을 제안한다.

• The Journal of the Korea Contents Association
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• v.17 no.3
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• pp.421-430
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• 2017

In this paper, research results on the change of music emotion are described. Our gaol was to provide a method of changing music emotion by a human user. Then we tried to find a way of transforming the contents of the original music into the music whose emotion is similar with the changed emotion. For the purpose, a method of changing the emotion of playing music on two-dimensional plan was describe. Then the original music should be transformed into the music which emotion would be equal to the changed emotion. As the first step a method of deciding which music factors and how much should be changed was presented. Finally the experimental method of editing by sound editor for changing the emotion was described. There are so many research results on the recognition of music emotion. But the try of changing the music emotion is very rare. So this paper would open another way of doing research on music emotion field.