• Journal of Korea Multimedia Society
• /
• v.18 no.2
• /
• pp.253-259
• /
• 2015

The spread of smartphones enabled the two-way communication through the Internet, and character emoticons added fun and comfort to communication among users. To figure out laughter-arousing factors, a survey about emoticon designs of Kakaotalk Itemstore was conducted, targeting university students in their twenties. An interaction of 'user-preferred emoticons' and 'laughter-arousing emoticons' was analyzed. 90% of 'user-preferred emoticons' were 'humorous emoticons', and 84% of respondents answered that there is a relationship between 'user-preferred emoticons' and 'laughter-arousing emoticons'. Consequently, a high interaction between the 'rank of emoticons' and 'laughter-arousing emoticons' was derived. Also, factors of laughter-arousing emoticons were analyzed by studying the ranks of emoticon from 1st to 8th of Kakaotalk Itemstore. Two-divisional figures reminding pure kids, maximization of emotional expression by omission or exaggeration of mouth, and smoothness by concave curves aroused laughter. Intuitively understandable gestures were employed in terms of action. Furthermore, two-divisional figures' acting with comparably small body, hands and foot to their head, and people-mimicking motions of animals with cuteness and familiarity enabled arousal of laughter. In facial expressions, humorous articulation of sad, busy or mad expression enabled positive communion among users.

• Journal of Information Technology Applications and Management
• /
• v.18 no.4
• /
• pp.21-40
• /
• 2011

Emoticons perform an important role as an enhancement to written communication, in areas such as Windows Live Messenger instant messaging, e-mails, mobile Short Message Services (SMS), and others. Emoticons are graphic images used in communications to indicate the feelings of people exchanging messages via mobile technology. In this research, the perceived usefulness of the emoticon in mobile phone text messages is verified with consumers using the five construct model of Huang. A K-means clustering technique for separating three groups based on levels of perceived usefulness of mobile emoticons is used with a structural equation model test using Smart PLS 2.0, and the bootstrap re-sampling procedure. We analyzed relationships among use of emoticons, enjoyment, interaction, information richness, and perceived usefulness. The results show there are relationships among use of emoticons, enjoyment, interaction, perceived usefulness, and information richness, however enjoyment of emoticons did not significantly affect the perceived usefulness of messages with emoticons alone. The results suggest emoticons have different affects on emotion in both mobile, and Messenger contexts. Our study did not consider more detailed media properties, and thus more studies are needed. Our research results contribute to mobile communication activation, provides companies with an understanding of key characteristics of consumers who use emoticons, and provides useful implications for improving management and marketing strategies.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.13 no.2
• /
• pp.71-76
• /
• 2017

In this study, we learned about the emergence of on-line communications originating from peoseuteol Computer Communications, the limitations of online communication, and the definition, traits and development of emoticons that serve as complementary roles, such as emotion and status. After analyzing various literacture and references, it was found that the emoticons functioned as a function of communicating the visual language of the digital era and communicating more sensitively to emotional factors. In a multimedia environment, emoticons are developed at a more advanced stage as the users' own icons due to a stronger tendency to pursue particularity and uniqueness. It is expected that eomotions added with multimedia functions will be more popular and vary in type. However, although the diversification of emotions as a commercial tool is already actively progressing, there appears a reverse effect in which an excessive use of emoticons is considered insincere in online communications. In such a background, research should be conducted that can support a systematic and effective development of emoticons through visual research rather than producing multimedia emoticons indiscreetly.

• Proceedings of the Korea Contents Association Conference
• /
• 2006.11a
• /
• pp.200-204
• /
• 2006

They use emoticons as assistance to express their emotion on CMC communications. Emoticons have been developed into diverse forms like text emoticon, image emoticon, animation emoticon. However emoticons represent the emotion only in simple way, not in specific because the shortage of grouping expressions of the emotion. So, the emoticons used nowadays should be grouped specifically in order to help produce the modulated animation emoticons those are able to represent the feeling in specific and diverse way and be used conveniently. Therefore, this thesis is going to propose the design method of a new kind of animation emoticons those can make what animation emoticons used nowadays are not able to through the grouping and analyzing expression images according to faces, gesture(hand), and backgrounds(decoration) focused on the animation emoticons in messenger programs.

• Health Communication
• /
• v.12 no.1
• /
• pp.51-72
• /
• 2017

Purpose: Adolescents use emoticons to express their emotions in an online environment. Hence, medical experts can understand the emotions of adolescents by emoticons. The goal of this study was to investigate the relationship between various emotions and emoticons among the Korean adolescents. Methods: The questionnaire survey was conducted between September 1 and 30, 2014, involving 3,272 students in elementary schools, middle schools, and high schools affiliated in the Department of Education of the metropolitan city of Busan. A total of 1,717 students responded to the survey. The participants consisted of 806 males (46.9%), and 911 females (53.1%). Among these, there were 557 elementary school students (32.4%), 617 middle school students (35.9%), and 543 high school students (31.6%). A social networking analysis was conducted using NodeXL. Results: The frequency of emoticon use among adolescents runs in the order of joy, sadness, fear, surprise, anger, disgust, and then depression. Elementary school females mainly use emoticons to express joy; middle school females use emoticons to express sadness, surprise, anger, disgust, and depression; and high school females use emoticons to express fear. Age- and gender-specific emoticon networks were visualized by using the Haren-Korel fast multiscale algorithm. Commonly used emoticons by age and gender were expressed in the networks. Results of age- and gender-specific emoticon networks visualization show similar results of centrality of seven emoticons. Conclusion: In the digital communication environment, emoticons could be used to catch the emotions of adolescents in Korea.

• Journal of Korea Multimedia Society
• /
• v.23 no.3
• /
• pp.508-515
• /
• 2020

For the success of mobile messenger emoticons, it is important to grab the attentions of users or consumers and identify the influence factors that can satisfy empathy and emotional satisfaction. In this study, first, subjective evaluation of the mobile messenger emoticons of the subjects was examined through a preliminary survey, and then Eye-tracking experiments were conducted to identify the influence factors that can attention of the subject's eyes in the emoticons. The study revealed that emoticons such as Ompangi and Onaeui yeosin highlighting their characters mainly focus on characters(face). Secondly, Gyuiyomjueui and Handprinting emoticons focused on Text. Contrary to earlier studies, such results showed that people are presumed to focus on characteristic elements such as size, form, color and location of visually exposed elements rather than primarily having a keen interest in characters.

• Journal of Korea Multimedia Society
• /
• v.24 no.11
• /
• pp.1580-1587
• /
• 2021

Currently, the development and sale of various emoticons has given users a wider range of choices, but a systematic and specific approach to the recognition and use of emoticons by actual users is lacking. Therefore, this study tried to investigate the subjective perception and visual attention concentration of actual users on negative emotional expression emoticons through a survey and eye tracking experiment. First, as a result of subjective recognition analysis, it was found that emoticons are frequently used because their appearance is important, and they can express various emotions in a fun and interesting way. In particular, it was found that emoticons that express negative emotions are often used because they can indirectly express negative emotions through various and concretely expressed visual elements. Next, as a result of the eye tracking experiment, it was found that the negative emotional expression emoticons focused on the large elements that visually emphasized or emphasized the emotional expression elements, and it was found that the focus was not only on the facial expression but also on the physical behavioral responses and language of expression of emotions. These results will be used as basic data to understand users' perceptions and utilization of the diversified emoticons. In addition, for the long-term growth and activation of the emoticon industry market in the future, continuous research should be conducted to understand the various emotions of real users and to develop differentiated emoticons that can maximize the empathy effect appropriate to the situation.

• The Journal of the Korea Contents Association
• /
• v.17 no.9
• /
• pp.184-191
• /
• 2017

Smartphone has become a part of many people's daily lives. The mobile messenger function on the smartphone in particular is the most frequently used services. The mobile communication tool in the age of digital media can be classified into two big categories: text messages and emoticons, the non-verbal expression tool of one's emotions. This thesis has studied the mobile communications made by the non-verbal tool of emoticons. The history of emoticons traces back to the text-based emoticon created by Scott Fahlman, from which graphical emoticons were developed and the sound and animation effects have been added. Many people use emoticons and diverse companies are developing the tool. In this study, the representative emoticon development case of Line Co., Ltd. is analyzed to see the concept, types, development process, collaborations and merchandising of the emoticons. Based on the case of Line, the development orientation and direction of domestic emoticons will be discussed to be culture contents.

• Korean Journal of Artificial Intelligence
• /
• v.5 no.2
• /
• pp.43-53
• /
• 2017

In this paper, the pattern of extracting the same expression is proposed by using the Android intelligent device to identify the facial expression. The understanding and expression of expression are very important to human computer interaction, and the technology to identify human expressions is very popular. Instead of searching for the emoticons that users often use, you can identify facial expressions with acamera, which is a useful technique that can be used now. This thesis puts forward the technology of the third data is available on the website of the set, use the content to improve the infrastructure of the facial expression recognition accuracy, in order to improve the synthesis of neural network algorithm, making the facial expression recognition model, the user's facial expressions and similar e xpressions, reached 66%.It doesn't need to search for emoticons. If you use the camera to recognize the expression, itwill appear emoticons immediately. So this service is the emoticons used when people send messages to others, and it can feel a lot of convenience. In countless emoticons, there is no need to find emoticons, which is an increasing trend in deep learning. So we need to use more suitable algorithm for expression recognition, and then improve accuracy.

• Knowledge Management Research
• /
• v.20 no.4
• /
• pp.99-118
• /
• 2019

Online financial counseling services are increasingly expanding with the rise of artificial intelligence-based chatbots. It is very important to examine the effects of emoticons noted as alternatives for communicating emotions in online communication between consumers and companies. In this paper, we examine how the use of emoticons affects the consumer's response and investigate the moderating roles of type of counseling agents (human vs. chatbot) and the consumer's subjective financial knowledge. The results show that the use of emoticon in the conversation brings a positive effect on the consumer's intention to use of online chat counseling service. When participants had relatively low subjective financial knowledge, they had higher intention to use online chat counseling services with emoticons only when the agent type was chatbot. When the type of counseling agent was human, this positive effect of the emoticon did not occur. On the other hand, when participants had relatively high subjective financial knowledge, they had higher intention to use online chat counseling service with emoticons only when the agent type was human. This study contributes to providing practical implications to build online chat counseling service using chatbot in the financial industry by studying users' intention depending on the type of agents and the level of their subjective knowledge.