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http://dx.doi.org/10.9717/kmms.2021.24.11.1580

Analysis of Visual Attention in Negative Emotional Expression Emoticons using Eye-Tracking Device  

Park, Minhee (Dept. of Digital Media, Kyungsung University)
Kwon, Mahnwoo (Dept. of Digital Media, Kyungsung University)
Hwang, Mikyung (Dept. of Digital Media, Kyungsung University)
Publication Information
Abstract
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.
Keywords
Emoticon; Negative Emotion; Eye-Tracking; Visual Attention; Non-Face-to-Face Communication;
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1 S.H. Chang, A Study of Directing Users' Eye Gaze Movement in Virtual Reality : Based on Eye Tracking Techniques, Doctoral Thesis of Hanyang University of Visual Communication Design, 2019.
2 I.J. Chang, "A Study on Emotion Classification and Design Elements of Mobile Emoticons - Based on Characters of LINE," Mobile Messenger, Design Convergence Study, Vol. 14, No. 3, pp. 47-59, 2015.
3 J.E. Shin and J.H. Eune, "Study on Emoticon Design Elements for Emotional Communication," Korean Society of Basic Design and Art, Vol. 18, No. 6, pp. 351-362, 2017.
4 B.R. Song, A Study on Meaningful Association of Emotion and Sensitivity of Emoticon Design: Centering Around Emoticon Communication on Kakaotalk, Doctoral Thesis of Konkuk University of Visual Communication Design, 2019.
5 E.A. Lee, A Study on Emotional Communication of Emoticons Based on Mobile SNS (Social Network Service) Messenger, Master's Thesis of Sangmyung University, 2018.
6 H.J. Kang, Cosmetic Color Design Process Based on Emotional Analysis of Emoticons, Master's Thesis of Yonsei University, 2018.
7 Y.N. Ma, H.J. Lee, K.H. Lee, and Q.X. Li, "A Study on Emoticon Expression Types and Preference according to the Emotional Depth of Sender and Relationship with Receiver," A Journal of Brand Design Association of Korea, Vol. 17, No. 1, pp. 223-236, 2019.   DOI
8 C.W. Song, Effects on Empathic Communication according to the Implementation Types of Emotional Icons, Master's Thesis of Chosun University, 2018.
9 D.E. Lee and S.E. Shin, "Perception of the AAC Graphic Symbols and SNS Emoticons for Emotional Words in Normal Adults," Communication Sciences and Disorders, Vol. 25, No. 2, pp. 334-342, 2020.   DOI
10 M.H. Park, M.K. Hwang, C.Y. Kim, and M.W. Kwon, "Analysis of Visual Attention in Bank Brand Logo using Eye-Tracking," Journal of Korea Multimedia Society, Vol. 23, No. 9, pp. 1210-1218, 2020.   DOI
11 J.A. Russell, "A Circumplex Model of Affect," Journal of Personality and Social Psychology, Vol. 39, No. 6, pp. 1161-1178, 1980.   DOI
12 H.J. Choi, Emoticon Design Guidelines for the Global Market, Master's Thesis of Kookmin University, 2019.
13 M.H. Park, M.K. Hwang, and M.W. Kwon, "Analysis of Visual Attention in Mobile Messenger Emoticons using Eye-Tracking," Journal of Korea Multimedia Society, Vol. 23, No. 3, pp. 508-515, 2020.
14 H.K. Jung and H.K. Kim, "A Study on Users for the Development of the Emoticons in Smartphone Messengers," The Korean Journal of Animation, Vol. 15, No. 2, pp. 79-103, 2019.   DOI
15 9th Anniversary of Kakao Emoticons. 73 Emoticons with Cumulative Sales of 1 Billion or More, https://www.yna.co.kr/view/AKR20201124081200017 (accessed June 12, 2021).
16 U. Pavalanathan and J. Eisenstein, "Emoticons vs. Emojis on Twitter: A Causal Inference Approach," arXiv Preprint, arXiv:1510.08480v1, 2015.