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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 인제대학교 디자인연구소 Journal of Integrated Design Research Journal of Integrated Design Research Vol.17 No.2(Wn.42)
- 발행연도
- 2018.6
- 수록면
- 21 - 30 (10page)
이용수
초록· 키워드
오류제보하기
Background: In light of the popularity of animation movies, the present work conducted an analysis of the psychological factors that determine animation characters’ likability. The specific focus lied on people’s evaluation of the animation character’s personality traits.
Methods: The qualitative analysis was effected by open interviews for animation fans and semi-structured interviews for experts. The quantitative analysis consisted of reliability analysis to validate the Likability scale, exploratory factor analysis for analyzing the factor structure of the item pool, and multiple linear regression analysis to compare the items in their quality to predict likability.
Result: The present study conducted qualitative interviews with animation fans to generate 15 items for describing animation characters’ personality, and expert interviews to generate categories. This item pool was answered in an online survey by 79 participants. The quantitative analysis validated a newly constructed scale for likability; it found the four underlying psychological dimensions of amicability, stimulation, flaws and authenticity; it revealed the items interesting, friendly and funny as best predictors of likability.
Conclusion: Results indicate that people like animation characters mostly because of the perceptions of interesting, friendly and funny. The most relevant underlying psychological factors to describe animation characters’ personality are amicability and stimulation. This insight can be applied to the design of AI-based user interfaces.
Methods: The qualitative analysis was effected by open interviews for animation fans and semi-structured interviews for experts. The quantitative analysis consisted of reliability analysis to validate the Likability scale, exploratory factor analysis for analyzing the factor structure of the item pool, and multiple linear regression analysis to compare the items in their quality to predict likability.
Result: The present study conducted qualitative interviews with animation fans to generate 15 items for describing animation characters’ personality, and expert interviews to generate categories. This item pool was answered in an online survey by 79 participants. The quantitative analysis validated a newly constructed scale for likability; it found the four underlying psychological dimensions of amicability, stimulation, flaws and authenticity; it revealed the items interesting, friendly and funny as best predictors of likability.
Conclusion: Results indicate that people like animation characters mostly because of the perceptions of interesting, friendly and funny. The most relevant underlying psychological factors to describe animation characters’ personality are amicability and stimulation. This insight can be applied to the design of AI-based user interfaces.
목차
Abstract
1. Introduction
2. Method
3. Results
4. Discussion
5. Conclusions
References
참고문헌 (15)
참고문헌 신청
Browne, M. W / 2001 / An Overview of Analytic Rotation in Exploratory Factor Analysis / Multivariate Behavioral Research 36:111~150
Byron, K / 2007 / E-Mail Recipients’ Impressions of Senders’ Likability:The Interactive Effect of Nonverbal Cues and Recipients’ Personality / Journal of Business Communication 44(2):137~160
Cillessen, A. H. N. / 2018 / Understanding Popularity in the Peer System 14(2):102~105
Clark, N. K / 1985 / Social Categorization, Visual Cues, and Social Judgements / European Journal of Social Psychology 15(1):105~119
Costello, A. B / 2005 / Best Practices in Exploratory Factor Analysis - Four Recommendations for Getting the Most from Your Analysis / Practical Assessment, Research & Evaluation 10(7)
Byron, K / 2007 / E-Mail Recipients’ Impressions of Senders’ Likability:The Interactive Effect of Nonverbal Cues and Recipients’ Personality / Journal of Business Communication 44(2):137~160
Cillessen, A. H. N. / 2018 / Understanding Popularity in the Peer System 14(2):102~105
Clark, N. K / 1985 / Social Categorization, Visual Cues, and Social Judgements / European Journal of Social Psychology 15(1):105~119
Costello, A. B / 2005 / Best Practices in Exploratory Factor Analysis - Four Recommendations for Getting the Most from Your Analysis / Practical Assessment, Research & Evaluation 10(7)
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