Decoding a Neurofeedback-Modulated Cognitive Arousal State to Investigate Performance Regulation by the Yerkes-Dodson Law

Decoding a Neurofeedback-Modulated Cognitive Arousal State to Investigate Performance Regulation by the Yerkes-Dodson Law
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解码神经反馈调节的认知唤醒状态以研究耶克斯-多德森定律的绩效调节

DOI:
10.1109/embc46164.2021.9629764
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发表时间:
2021
期刊:
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC
影响因子:
--
通讯作者:
Faghih, Rose T.
Faghih, Rose T.
中科院分区:
--
文献类型:
--
作者:
Khazaei, Saman;Amin, Md. Rafiul;Faghih, Rose T.

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通过调节认知任务期间的唤醒来提高人类的生产力是心理学中一个具有挑战性的课题,它具有很大的潜力来改变工作场所以提高生产力和教育系统以提高性能。在这项研究中,我们评估的可行性,使用Yerkes-Dodson定律从心理学,以提高性能在工作记忆实验。我们采用贝叶斯过滤方法来跟踪认知唤醒和性能。特别地,通过利用在音乐存在下的工作记忆实验期间记录的皮肤电导信号,我们解码认知唤醒状态。这是通过将神经冲动发生的速率及其幅度作为觉醒模型的观察来完成的。同样,我们解码的性能状态使用正确和不正确的反应的数量,以及反应时间作为二进制和连续的行为观察,分别。我们估计的唤醒和性能状态的期望最大化的框架内。之后,我们设计了一个唤醒性能模型的基础上的Yerkes-Dodson定律和估计模型参数通过回归分析。在这个实验中,音乐神经反馈被用来调节认知唤醒。我们的研究表明,音乐可以作为一种驱动模式,影响唤醒和提高工作记忆任务的认知性能。我们的研究结果可以对设计未来的智能工作场所和在线教育系统产生重大影响。
Enhancing the productivity of humans by regulating arousal during cognitive tasks is a challenging topic in psychology that has a great potential to transform workplaces for increased productivity and educational systems for enhanced performance. In this study, we assess the feasibility of using the Yerkes–Dodson law from psychology to improve performance during a working memory experiment. We employ a Bayesian filtering approach to track cognitive arousal and performance. In particular, by utilizing skin conductance signal recorded during a working memory experiment in the presence of music, we decode a cognitive arousal state. This is done by considering the rate of neural impulse occurrences and their amplitudes as observations for the arousal model. Similarly, we decode a performance state using the number of correct and incorrect responses, and the reaction time as binary and continuous behavioral observations, respectively. We estimate the arousal and performance states within an expectation-maximization framework. Thereafter, we design an arousal-performance model on the basis of the Yerkes–Dodson law and estimate the model parameters via regression analysis. In this experiment musical neurofeedback was used to modulate cognitive arousal. Our investigations indicate that music can be used as a mode of actuation to influence arousal and enhance the cognitive performance during working memory tasks. Our findings can have a significant impact on designing future smart workplaces and online educational systems.
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