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/人机交互/Reliance
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Reliance

依赖度(信赖度):人机交互语境下,指用户对 AI 系统输出或建议的接受、信任与据此行动的程度。HCI 研究常讨论如何校准(calibrate)合理依赖——既不盲目信任也不过度忽视 AI。

English Definition

"In human-AI interaction, the degree to which a user accepts, trusts, and acts upon an AI system's recommendations or outputs; a core concept in calibrating appropriate use of AI assistance."

用法说明 · 针对中文母语者

常见搭配:AI reliance、calibrating reliance、appropriate reliance、over-reliance、under-reliance。注意与 trust(信任)区分——reliance 强调实际行为表现,trust 强调主观态度。

常见错误

  • ·不要等同于 'trust'(信任)——trust 是主观信念,reliance 是行为表现
  • ·不要译为“可靠性”——那是 reliability 的意思,与本词不同

真实用例 · 3

"Existing theories of AI-assisted decision-making focus on calibrating reliance on AI advice, leaving it unclear how different system designs might influence the reasoning processes underneath."

论文Pipeline extracted — review needed·指出既有研究聚焦依赖度校准,但忽略了推理过程

"With the rise of modern machine learning, research has shifted toward understanding and calibrating humans' reliance on AI outputs in making decisions"

论文Pipeline extracted — review needed·综述部分提到 ML 时代的研究转向——校准对 AI 输出的依赖

"These findings can help us understand why some reasoning cues embedded in AI decision support systems are effective and others are not, especially when the cues were originally intended to calibrate reliance (such as AI explanations)."

论文Pipeline extracted — review needed·讨论为何原本为校准依赖度而设计的 AI 解释有时并不奏效
由 pipeline 自动采集,待人工 review