关于中国用户接受人工智能助手的调查:扩大技术接受模式
1Department of Design, School of Architecture and Art, Central South University, Changsha, China.
Scientific reports
|September 29, 2025
概括
这项研究探讨了中国用户对人工智能助手的接受,使用扩展技术接受模型 (TAM). 审美愉悦,信息质量和人工智能技能影响感知到的有用性和易用性,影响行为意图.
科学领域:
- 人与计算机的交互
- 人工智能的人工智能
- 技术的接受技术的接受
背景情况:
- 人工智能 (AI) 助手越来越多地融入日常生活和工作.
- 了解人工智能助理的用户接受机制对于广泛采用至关重要.
- 现有的模型需要扩展以捕捉不同文化背景中的特定用户感知.
研究的目的:
- 为人工智能助理扩展技术接受模型 (TAM).
- 研究美学愉悦 (AP),信息质量 (IQ) 和人工智能技能 (AIS) 对用户接受的影响.
- 分析影响中国用户对AI助手的行为意图的因素.
主要方法:
- 使用了363名中国用户的问卷调查.
- 使用结构方程建模 (CB-SEM) 来验证假设.
- 开发并测试了一种包含AP,IQ和AIS的扩展TAM.
主要成果:
- 审美愉悦,信息质量和人工智能技能显著影响了人们感知的有用性和易用性.
- 人工智能技能,感知到的有用性和感知到的易用性对行为意图产生了积极的影响.
- 审美愉悦和信息质量并没有直接影响行为意图.
结论:
- 人工智能助理设计应优先考虑感知到的实用性和易用性,受AP,IQ和AIS的影响.
- 人工智能技能是用户采用和意图的关键决定因素.
- 结果为设计以用户为中心的AI助理提供了理论支持,以满足特定用户需求和偏好.
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