人类难区分机器人是AI还是人操控，挑战传统智能判断标准
AI or Human? Understanding Perceptions of Embodied Robots with LLMs
- 在真实交互任务中开展图灵测试，让人类辨别机器人是AI还是人操作
- 34名参与者无法可靠区分，准确率接近随机水平
- 揭示影响智能感知的关键因素，指导未来交互机器人设计
人工智能的发展长期面临如何有效衡量智能的挑战。尽管图灵测试被提出作为评估系统智能的方法，但在人机交互领域其适用性仍缺乏深入探索。本研究在机器人平台上实施图灵测试，考察人们对具身机器人的智能感知。34名参与者需在信息检索和包裹递送两项互动任务中区分由AI与人类操控的机器人，评估其在静态与动态条件下的感知与导航能力。结果显示，参与者无法可靠区分两类机器人，表现接近随机水平。进一步分析揭示了影响人工智能与人类智能感知的关键因素。研究为未来交互式机器人的设计提供了洞见，并推动了对人工智能系统智能评估的讨论。
原文摘要 · Abstract (English)
The pursuit of artificial intelligence has long been associated to the the challenge of effectively measuring intelligence. Even if the Turing Test was introduced as a means of assessing a system intelligence, its relevance and application within the field of human-robot interaction remain largely underexplored. This study investigates the perception of intelligence in embodied robots by performing a Turing Test within a robotic platform. A total of 34 participants were tasked with distinguishing between AI- and human-operated robots while engaging in two interactive tasks: an information retrieval and a package handover. These tasks assessed the robot perception and navigation abilities under both static and dynamic conditions. Results indicate that participants were unable to reliably differentiate between AI- and human-controlled robots beyond chance levels. Furthermore, analysis of participant responses reveals key factors influencing the perception of artificial versus human intelligence in embodied robotic systems. These findings provide insights into the design of future interactive robots and contribute to the ongoing discourse on intelligence assessment in AI-driven systems.
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