用户对生成式AI的挫败感源于其似是而非的智能表现。
The Quasi-Creature and the Uncanny Valley of Agency: A Synthesis of Theory and Evidence on User Interaction with Inconsistent Generative AI
- 提出'类生命体'概念，解释AI似智非智引发的认知冲突
- 实证发现：用户感知效率越高，挫败感越强（N=37）
- 适合人机交互、AI伦理与产品设计者阅读
大规模生成式AI的用户体验存在矛盾：表现出超凡流畅性，却在常识和一致性上频频出错。本文认为这种强烈挫败感源于本质问题——‘类生命体’：模拟智能但无具身与真实理解。与其交互会触发‘代理感诡异谷’，即当高度自主的AI表现出不可靠时，用户舒适度急剧下降。其失败被视为认知漏洞，引发深层认知失调。综合人机交互、认知科学与技术哲学，本文定义了‘类生命体’并阐释‘代理感诡异谷’框架。一项混合方法研究（“移动78”，N=37）揭示用户感知效率与挫败感间存在显著负相关，是负面体验的核心。该框架能有效解释用户对生成式AI的挫败，并对这些强大而异质的技术的设计、伦理与社会融合具有深远影响。
原文摘要 · Abstract (English)
The user experience with large-scale generative AI is paradoxical: superhuman fluency meets absurd failures in common sense and consistency. This paper argues that the resulting potent frustration is an ontological problem, stemming from the "Quasi-Creature"-an entity simulating intelligence without embodiment or genuine understanding. Interaction with this entity precipitates the "Uncanny Valley of Agency," a framework where user comfort drops when highly agentic AI proves erratically unreliable. Its failures are perceived as cognitive breaches, causing profound cognitive dissonance. Synthesizing HCI, cognitive science, and philosophy of technology, this paper defines the Quasi-Creature and details the Uncanny Valley of Agency. An illustrative mixed-methods study ("Move 78," N=37) of a collaborative creative task reveals a powerful negative correlation between perceived AI efficiency and user frustration, central to the negative experience. This framework robustly explains user frustration with generative AI and has significant implications for the design, ethics, and societal integration of these powerful, alien technologies.
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