反应还是不反应？人类在虚拟杆平衡中的内在随机性
To react or not to react? Intrinsic stochasticity of human control in virtual stick balancing
AI总结：
研究探讨人类在不稳定系统中的控制机制，提出人类控制可能由内在随机性驱动，而非阈值触发，通过模型验证了这一假设在虚拟杆平衡任务中的有效性。
摘要：
理解人类如何控制不稳定系统是许多研究问题的核心，应用范围从静立到飞机着陆。越来越多的证据支持事件驱动控制假说：人类操作员仅在当前系统状态与期望状态差异足够大时才主动控制。基于阈值概念的事件驱动模型能解释许多实验观测到的动力学特征。然而，关于人类控制系统动力学仍有许多不清楚之处，这可能表明人类使用更复杂的控制机制。本文认为人类控制激活可能不是阈值驱动，而是内在随机性驱动的。具体而言，我们提出控制激活源于操作员保持受控系统接近目标状态的需求与推迟中断系统动力学倾向之间的随机相互作用。我们提出一个模型捕捉这种相互作用，并显示其能匹配人类在虚拟过阻尼杆平衡中的实验数据。我们的结果表明，至少在所考虑的任务中，噪声驱动的激活机制起着关键作用，并且在广泛的人类控制过程中可能也起作用。
英文摘要：
Understanding how humans control unstable systems is central to many research problems, with applications ranging from quiet standing to aircraft landing. Increasingly much evidence appears in favor of event-driven control hypothesis: human operators only start actively controlling the system when the discrepancy between the current and desired system states becomes large enough. The event-driven models based on the concept of threshold can explain many features of the experimentally observed dynamics. However, much still remains unclear about the dynamics of human-controlled systems, which likely indicates that humans employ more intricate control mechanisms. The present paper argues that control activation in humans may be not threshold-driven, but instead intrinsically stochastic, noise-driven. Specifically, we suggest that control activation stems from stochastic interplay between the operator's need to keep the controlled system near the goal state on one hand and the tendency to postpone interrupting the system dynamics on the other hand. We propose a model capturing this interplay and show that it matches the experimental data on human balancing of virtual overdamped stick. Our results illuminate that the noise-driven activation mechanism plays a crucial role at least in the considered task, and, hypothetically, in a broad range of human-controlled processes.
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。
