• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 2002.05a
• /
• pp.152-155
• /
• 2002

In recent years, with the spread of communication media, such as a cellular phone and E-mail, we are able to communicate with others without any restriction of position or time. However, complexity of communicative context has increased so that user has to guess a partner user's situation and status in order to use various medias efficiently. This problem will grow larger as new media are brought in the expanding communications network. To solve this problem, we propose the system that guesses the context in communication by a user's media from the position information on PHS (Personal Handy phone System) and schedule information from schedule application. In this system a user's agent guesses automatically the context that owner has set, and answers the demand of the context from a partner user. Moreover, the agent decides a suitable answer, when there is a demand of communication by the media, which cannot be used.

• Asia pacific journal of information systems
• /
• v.23 no.3
• /
• pp.55-76
• /
• 2013

The principal objective of the work is to confirm the effects of perceived interactivity, trust, and emotion on intentions to use IPTV service. The empirical investigation into IPTV service users suggests that (i) the perception of interactivity should be directly related with trust, (ii) Users' trust should bolster users' emotion in a positive or negative aspect, and (iii) such emotion is verified to affect the intention to use IPTV continuously. More specifically, we demonstrate that positive and negative emotions influence user intentions positively and negatively. Additionally, we find that the trust mediates perceived interactivity and emotions, and both trust and emotion mediate the relationship between perceived interactivity and intentions to use IPTV. The work indicates that trust and emotion of users should be considered from IS perspective in an attempt to build the intention to use IPTV. IPTV firms should consider in their IPTV design and offering strategy how to enhance positive emotions for user retention and eventually bolster intentions to use IPTV continuously.

• Journal of the Korea Society of Computer and Information
• /
• v.23 no.8
• /
• pp.37-43
• /
• 2018

In this paper, we propose a framework that automatically suggests emotion using emotion analysis method based on facial expression change. We use Microsoft's Emotion API to calculate and analyze emotion values in facial expressions to recognize emotions that change over time. In this step, we use standard deviations based on peak analysis to measure and classify emotional changes. The difference between the classified emotion and the normal emotion is calculated, and the difference is used to recognize the emotion abnormality. We match user's emotions to relatively relaxed emotions using histograms and emotional meshes. As a result, we provide relaxed emotions to users through images. The proposed framework helps users to recognize emotional changes easily and to train their emotions through emotional relaxation.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 2000.04a
• /
• pp.120-125
• /
• 2000

We propose a semi-automatic and dynamic indexing algorithm for multi-media database(e.g. movie files, audio files), which are difficult to create indexes expressing their emotional or abstract contents, according to user's sensitivity by using user's histories of access to database. In this algorithm, we simply categorize data at first, create a vector space of each user's interest(user model) from the history of which categories the data belong to, and create vector space of each data(title model) from the history of which users the data had been accessed from. By continuing the above method, we could create suitable indexes, which show emotional content of each data. In this paper, we define the recurrence formulas based on the proposed algorithm. We also show the effectiveness of the algorithm by simulation result.

• The Journal of Society for e-Business Studies
• /
• v.21 no.4
• /
• pp.69-80
• /
• 2016

Cognitive and emotional product design is becoming crucial because the technology gap decreases more and more. Product design guidelines and the corresponding database are therefore needed to support sensing (e.g. sight, hearing, touch), cognition (e.g. attention, memory) and emotion (e.g. aesthetics, functionality) which users feel differently according to their genders and ages. The user property information which is extracted from various experiments can be used as critical criteria in product design and evaluation, and it is necessary to develop the integrated database of cognition and emotion where to store the user property information. In this research, we design the user property metadata for supporting cognitive and emotional product design and then develop a prototype system. The metadata is designed to reflect the classification of cognition and emotion by investigating and classifying the previous studies related to sensing, cognition and emotion. The user property information is designed in RDF (Resource Description Framework), and a prototype system is developed to store user property information of cognition and emotion based on the designed metadata.

• Journal of the Korea Society of Computer and Information
• /
• v.14 no.5
• /
• pp.11-17
• /
• 2009

It's a trend that the proportion of using an internet messenger among on-line communication methods is getting increased. However, there are not many applications which efficiently utilize these messenger communication data. Messenger communication data have specific characteristics that reflect the user's linguistic habits. The linguistic habits are revealed through frequently used words and emoticons, and user's emotions can be grasped by these. This paper proposes the method that efficiently classifies the emotions of a messenger user using frequently used words or symbols. The emotion classifier from repeated experiments achieves high accuracy of more than 95%.

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

• KIPS Transactions on Software and Data Engineering
• /
• v.4 no.4
• /
• pp.195-200
• /
• 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 Language and Information Conference
• /
• 2007.11a
• /
• pp.311-320
• /
• 2007

Interrogative sentences are generally used to perform speech acts of directly asking a question or making a request, but they are also used to convey such speech acts indirectly. In the utterances, such indirect uses of interrogative sentences usually carry speaker's emotion with a negative attitude, which is close to an expression of anger. The identification of such negative emotion is known as a difficult problem that requires relevant information in syntax, semantics, discourse, pragmatics, and speech signals. In this paper, we argue that the interrogatives used for indirect speech acts could serve as a dominant marker for identifying the emotional attitudes, such as anger, as compared to other emotion-related markers, such as discourse markers, adverbial words, and syntactic markers. To support such an argument, we analyze the dialogues collected from the Korean soap operas, and examine individual or cooperative influences of the emotion-related markers on emotional realization. The user study shows that the interrogatives could be utilized as a promising device for emotion identification.

• Proceedings of the Korean Information Science Society Conference
• /
• 1999.10b
• /
• pp.113-115
• /
• 1999

인터넷에서 제공하는 각종 서비스 및 다양한 소프트웨어들은 점차 사용자를 고려하여 개발되고 있는 추세이나 아직은 미약하다. 사용자를 고려한다는 것은 사용자가 소프트웨어를 사용하거나 서비스를 받으면서 공감을 느끼도록 하여 사용 효과를 높이고, 생활의 일부분이 되어 가고 있는 컴퓨터 시스템을 사람과 친하게 만들려는 것이다. 이를 위해서는 사용자와의 상호작용이 중요시된다. 본 연구에서는 사람과 비슷한 가상의 캐릭터를 이용하며, 이 캐릭터가 사용자와 상호 작용을 통하여 emotion을 갖게 하는데 중점을 두었다. 즉, 캐릭터가 가질 수 있는 emotion structure를 정의하고 사용자와의 상호작용을 바탕으로 캐릭터의 emotion을 생성한다. 이를 위한 시스템은 사용자가 에이전트에게 task를 요청하여 서비스를 받을 때까지 일어날 수 있는 여러 상호작용에 대하여 캐릭터의 emotion을 생성하여 사용자에게 simulation하게 된다. 이러한 감정의 교류를 통하여 사용자는 캐릭터에게 친근감을 갖게 되며 캐릭터의 emotion에 대하여 공감할 수 있고 응용프로그램의 신뢰성을 높이는 효과를 가져온다.