지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2017.2
- 수록면
- 1,004 - 1,008 (5page)
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초록· 키워드
오류제보하기
This study aims to investigate relations between the emoticons and emotions using the ‘kakaotalk’ default emoticons. The emoticon distribution map would be made with new axes from PCA and some ‘Kakaotalk’ default emoticons.
Facial expression and gesture cannot be expressed on mobile messenger. This leads to the global use of emoticon which complements the limitation of mobile messenger communication. Therefore, this study will see what emotions are delivered by each emoticons.
8 adjectives are generated and reduced through focus group interview, categorizing, and literature studies to evaluate stimuli, which is emoticons consisted of facial expression and motion. 37 emoticons are selected as the stimuli based on our own criteria such as emoticons that express emotions with a various degree rather than situations. The semantic differential experiment is performed with 12 subjects and monopolar scales of 8 adjectives.
After PCA, the 1<SUP>st</SUP> principal component is defined as positiveness and 2<SUP>nd</SUP> one is unpredictability, which explains the results up to about 80%. Some emotions were orthogonal to one another and there are more various emotions in negative emoticons rather than positive space.
We concluded that the threshold for using positive emoticons is much higher in comparison with that of negative emoticon. There were somewhat empty space at the positive area in the emoticon distribution map, which means less expressed emotion space through emoticons at the positive area. The emoticon designer could focus on that empty space on the map to fascinate messenger’s users.
Facial expression and gesture cannot be expressed on mobile messenger. This leads to the global use of emoticon which complements the limitation of mobile messenger communication. Therefore, this study will see what emotions are delivered by each emoticons.
8 adjectives are generated and reduced through focus group interview, categorizing, and literature studies to evaluate stimuli, which is emoticons consisted of facial expression and motion. 37 emoticons are selected as the stimuli based on our own criteria such as emoticons that express emotions with a various degree rather than situations. The semantic differential experiment is performed with 12 subjects and monopolar scales of 8 adjectives.
After PCA, the 1<SUP>st</SUP> principal component is defined as positiveness and 2<SUP>nd</SUP> one is unpredictability, which explains the results up to about 80%. Some emotions were orthogonal to one another and there are more various emotions in negative emoticons rather than positive space.
We concluded that the threshold for using positive emoticons is much higher in comparison with that of negative emoticon. There were somewhat empty space at the positive area in the emoticon distribution map, which means less expressed emotion space through emoticons at the positive area. The emoticon designer could focus on that empty space on the map to fascinate messenger’s users.
목차
Abstract
1. Introduction
2. Method
3. Results
4. Conclusion
Reference
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UCI(KEPA) : I410-ECN-0101-2017-004-002129474