解读GAI人形主义及其联合效应的二元性 - - 一种连续的混合方法方法方法
Meng Zhang1, Yang Yang2, Cuiting Yu3
1School of Business Administration, Southwestern University of Finance and Economics, Chengdu, China.
Frontiers in psychology
|December 15, 2025
概括
生成型人工智能 (GAI) 有两个人类形象维度:功能和交互. 这项研究揭示了它们对用户体验的综合影响,为GAI设计和应用程序有效性提供了洞察力.
科学领域:
- 人工智能的人工智能
- 人与计算机的交互
- 信息系统信息系统信息系统
背景情况:
- 生成型人工智能 (GAI) 表现出功能和交互性人类形态.
- 之前的研究主要集中在交互性人类形象学上,忽视了双维的综合影响.
- 需要对GAI的双重人类形态维度进行全面的理解.
研究的目的:
- 在GAI中研究功能性和交互性人类形态的联合效应.
- 扩展GAI用户体验的预期确认模型 (ECM).
- 为GAI服务设计者和部署者提供实际建议.
主要方法:
- 顺序混合方法方法. 顺序混合方法方法.
- 定性采访 (n=15) 探索共同效应.
- 实验测试联合效应,机制和边界条件,扩展ECM.
主要成果:
- GAI的双重人形特征动态地将用户的期望与体验,评估和持续意图联系起来.
- 以用户为中心的方法强调了技术特征和用户体验之间的相互作用.
- 结果提供了提高用户体验和GAI应用程序有效性的策略.
结论:
- 了解功能性和交互性人类形象对GAI发展至关重要.
- 扩展的ECM为分析GAI用户体验提供了一个框架.
- 实际见解可以指导设计和部署更有效的GAI应用程序.
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