Putze Felix, Schultz Tanja
Karlsruhe Institute of Technology, Cognitive Systems Lab, Karlsruhe, Germany.
Karlsruhe Institute of Technology, Cognitive Systems Lab, Karlsruhe, Germany.
J Neurosci Methods. 2014 Aug 30;234:108-15. doi: 10.1016/j.jneumeth.2014.06.029. Epub 2014 Jul 2.
Adaptive cognitive technical systems are capable of sensing the internal state of its user and of adapting its behavior appropriately to those measurements to improve the usability of the system. One important example of such user state is the user's mental workload level. This paper gives an introduction to the topic of workload recognition and adaptation. It reviews the literature on recognition of workload from physiological signals and on how those user state estimates are employed to improve human-machine interaction.
自适应认知技术系统能够感知其用户的内部状态，并根据这些测量结果适当地调整其行为，以提高系统的可用性。这种用户状态的一个重要例子是用户的心理负荷水平。本文介绍了负荷识别与自适应这一主题。它回顾了关于从生理信号识别负荷以及关于如何利用这些用户状态估计来改善人机交互的文献。
