AI使用模式由人类能动性的感知增益塑造
AI usage patterns are shaped by perceived gains in human agency
AI总结：
通过分析美国、德国和新加坡51名日常AI聊天机器人用户的深度民族志数据，发现用户持续使用AI与感知到的个人能动性增益相关，且这些感知增益常超过对准确性和可靠性的担忧，挑战了传统的信任模型。
摘要：
随着对话式AI系统更深入地融入日常生活，其对人类能动性的影响愈发亟待理解。AI增强能力的潜力与个人和集体失权的风险并存，然而关于累积使用的经验性、生态有效性证据却十分匮乏。我们分析了来自美国、德国和新加坡的日常AI聊天机器人用户（n=51）研究的深度民族志数据，以揭示在情境化语境中作为社会实践的对话式AI使用。我们表明，用户一致将持续使用AI与感知到的个人能动性增益联系起来。至关重要的是，这些感知增益往往超过对准确性、可靠性和一致性的担忧，从而塑造了使用模式。我们的发现挑战了关于人类如何以及为何随时间使用AI系统的普遍假设，表明传统的基于信任的模型不足以解释人类与对话式AI的行为。最后，我们揭示了一个关键张力：对感知能动性的即时心理提升未必转化为物质效应、结构性赋权或长期能力。我们的结果有助于为新颖的行为框架、测量工具和AI基准建立新基础，以确保对话式AI以实质性和持续的方式增强人类能动性。
英文摘要：
As conversational AI systems become more deeply integrated into daily life, the implications for human agency are increasingly urgent to understand. AI's potential to amplify capability sits alongside risks of individual and collective disempowerment, yet empirical, ecologically-valid evidence about cumulative usage is scarce. We analyze deep ethnographic data from a study of daily AI chatbot users (n = 51) in the United States, Germany, and Singapore to illuminate conversational AI usage in situated context as a sociotechnical practice. We show that people consistently link sustained AI usage to perceived gains in individual agency. Crucially, these perceived gains often outweigh concerns about accuracy, reliability, and consistency to shape usage patterns. Our findings challenge prevailing assumptions about how and why humans use AI systems over time, suggesting that traditional trust-based models are not sufficient for explaining human behavior with conversational AI. Finally, we expose a critical tension: immediate psychological boosts to perceived agency may not necessarily translate into material effects, structural empowerment, or long-term capacity. Our results help establish a new foundation for novel behavioral frameworks, measurement tools, and AI benchmarks to ensure conversational AI strengthens human agency in substantial, sustained ways.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
