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反馈延迟可以增强人机交互中的预期同步。

Feedback delays can enhance anticipatory synchronization in human-machine interaction.

机构信息

Center for Computer Research in Music and Acoustics, Department of Music, Stanford University, Stanford, CA, United States of America.

Department of Psychology, Center for Elite Performance, Expertise and Training, and Perception in Action Research Center, Macquarie University, Sydney, NSW, Australia.

出版信息

PLoS One. 2019 Aug 22;14(8):e0221275. doi: 10.1371/journal.pone.0221275. eCollection 2019.

Abstract

Research investigating the dynamics of coupled physical systems has demonstrated that small feedback delays can allow a dynamic response system to anticipate chaotic behavior. This counterintuitive phenomenon, termed anticipatory synchronization, has been observed in coupled electrical circuits, laser semi-conductors, and artificial neurons. Recent research indicates that the same process might also support the ability of humans to anticipate the occurrence of chaotic behavior in other individuals. Motivated by this latter work, the current study examined whether the process of feedback delay induced anticipatory synchronization could be employed to develop an interactive artificial agent capable of anticipating chaotic human movement. Results revealed that incorporating such delays within the movement-control dynamics of an artificial agent not only enhances an artificial agent's ability to anticipate chaotic human behavior, but to synchronize with such behavior in a manner similar to natural human-human anticipatory synchronization. The implication of these findings for the development of human-machine interaction systems is discussed.

摘要

研究调查了耦合物理系统的动力学,表明小的反馈延迟可以使动态响应系统预测混沌行为。这种反直觉的现象,称为预期同步,已在耦合电路、激光半导体和人工神经元中观察到。最近的研究表明,同样的过程也可能支持人类预测其他人中混沌行为发生的能力。受后者工作的启发,本研究探讨了反馈延迟诱导的预期同步过程是否可用于开发能够预测混沌人体运动的交互式人工代理。结果表明,在人工代理的运动控制动力学中加入这种延迟不仅可以提高人工代理预测混沌人体行为的能力,还可以以类似于自然人机预期同步的方式与这种行为同步。讨论了这些发现对人机交互系统发展的意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20e8/6705796/1e349083b147/pone.0221275.g001.jpg

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