文章摘要
宋章通,朱永琼,方浩.AI化身形象风格的审美偏好:情境因素的调节作用[J].包装工程,2024,(10):332-338.
AI化身形象风格的审美偏好:情境因素的调节作用
Aesthetic Preferences of AI Avatar Visual Style:Moderating Role of Situational Factors
投稿时间:2023-12-21  
DOI:10.19554/j.cnki.1001-3563.2024.10.035
中文关键词: 人工智能  化身  形象风格  情境  审美偏好
英文关键词: artificial intelligence  avatar  visual style  situation  aesthetic preference
基金项目:武汉市教育科学规划重点课题(2022A083)
作者单位
宋章通 武汉商学院 艺术学院武汉 430056 
朱永琼 武汉商学院 艺术学院武汉 430056 
方浩 武汉工程大学 艺术设计学院武汉 430205 
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中文摘要:
      目的 探究用户群体对AI化身形象风格的审美偏好,并分析不同应用情境下偏好的差异性。方法 采用选择实验法,以AI化身形象的四种风格(2D、3D卡通、3D写实、真人)及三种情境因素(教育型、娱乐型、助手型)为自变量,以被试的偏好选择为因变量,结合用户访谈考察形象风格与情境要素对用户审美偏好的影响机制。结果 被试对AI化身风格的审美偏好存在显著差异,对四种风格的偏好关系在一定程度上表现出“恐怖谷效应”,最佳的偏好度为真人风格,3D卡通与3D写实风格次之,2D最差。这种差异与移情作用的诱发密切相关,体现了智能化时代背景下的新技术美学。情境因素能够在AI化身风格与审美偏好之间起到调节作用。在教育型、娱乐型、助手型情境中,偏好度较高的化身形象风格分别为真人、3D写实和3D卡通风格。这种调节作用与特定情境图式下被试的心理意象密切相关。结论 本研究深化了用户群体对AI化身产品审美偏好特点和模式的研究,能为推动与其相关的用户研究、外观设计与技术发展等方面提供实证的理论指导。
英文摘要:
      The work aims to explore the aesthetic preferences of users towards AI avatar styles and analyze the differences in different situations. Using the selection experiment method, four styles of AI avatar (2D style, 3D cartoon style, 3D realistic style, human-like style) and three situational factors (education, entertainment, assistant) were used as independent variables. The preference selection of the subjects was used as the dependent variable, and user interviews were conducted to investigate the impact mechanism of image style and situational factors on user aesthetic preferences. The experimental results indicated that there were significant differences in aesthetic preferences for AI visual style among participants, and the preference of the four styles exhibited a "uncanny valley effect" to some extent, with the human-like style being the most preferred, followed by 3D cartoon and 3D realistic styles, and 2D style being the least preferred. This difference was closely related to the triggering of the empathy effect, reflecting the technical aesthetics in the context of the intelligent era. Situational factors could play a moderating role between AI visual style and aesthetic preference. In educational, entertainment, and assistant contexts, the most preferred visual styles of avatars were human-like style, 3D realistic style, and 3D cartoon style, respectively. This moderating effect was closely related to the psychological imagery of participants in specific situational patterns. In conclusion, this study deepens the research on the aesthetic preferences and patterns of AI avatar products among user groups, and can provide empirical theoretical guidance for promoting user research, appearance design, and technological development direction.
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