arXiv:2509.21542cs.HCcs.AI2025-09综述被引 3

人类与智能代理互动时,行为相似但道德感更低,需关注设计伦理。

Psychological and behavioural responses in human-agent vs. human-human interactions: a systematic review and meta-analysis

  • 对比162项研究,系统分析人机与人际互动差异。
  • 人机互动中亲社会行为减少,对代理的责任感和能力评价更低。
  • 适合关注AI伦理、人机交互设计的研究者和从业者阅读。

智能代理正广泛融入社会,尽管具备类人能力,但人类对其的反应仍不明确,研究分散于各学科。本研究首次系统综述并元分析了人机与人际配对互动中的心理与行为响应。共纳入162项符合条件的研究(146项参与元分析,468个效应量),融合频率学与贝叶斯方法。结果表明,与人类互动相比,个体在与代理互动时表现出更少的亲社会行为与道德投入,归因更少的自主性与责任,认为代理能力较弱、更不可爱、社交存在感更低。然而,在社会契合度、信任、个人自主性、任务表现及交互体验方面,两者总体相当。许多主观反应(如对伙伴的社会认知、主观信任、交互体验)效应量异质性高,表明情境依赖性强。通过分析研究特征、参与者、代理类型、交互场景与测量方式,识别出若干调节因素。总体而言,与代理的功能性行为和交互体验可媲美人类,但根本性的社会归因与道德/亲社会关切仍滞后。因此,代理具有与人类相当的工具价值,但缺乏同等内在价值,为代理设计与监管提供实践启示。

原文摘要 · Abstract (English)

Interactive intelligent agents are being integrated across society. Despite achieving human-like capabilities, humans' responses to these agents remain poorly understood, with research fragmented across disciplines. We conducted a first systematic synthesis comparing a range of psychological and behavioural responses in matched human-agent vs. human-human dyadic interactions. A total of 162 eligible studies (146 contributed to the meta-analysis; 468 effect sizes) were included in the systematic review and meta-analysis, which integrated frequentist and Bayesian approaches. Our results indicate that individuals exhibited less prosocial behaviour and moral engagement when interacting with agents vs. humans. They attributed less agency and responsibility to agents, perceiving them as less competent, likeable, and socially present. In contrast, individuals' social alignment (i.e., alignment or adaptation of internal states and behaviours with partners), trust in partners, personal agency, task performance, and interaction experiences were generally comparable when interacting with agents vs. humans. We observed high effect-size heterogeneity for many subjective responses (i.e., social perceptions of partners, subjective trust, and interaction experiences), suggesting context-dependency of partner effects. By examining the characteristics of studies, participants, partners, interaction scenarios, and response measures, we also identified several moderators shaping partner effects. Overall, functional behaviours and interactive experiences with agents can resemble those with humans, whereas fundamental social attributions and moral/prosocial concerns lag in human-agent interactions. Agents are thus afforded instrumental value on par with humans but lack comparable intrinsic value, providing practical implications for agent design and regulation.

人机交互智能代理心理学元分析

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