摘要
持续的高水平心理负荷会导致不良的自我调节行为,但面向不同难度任务时自我调节行为对心理负荷的影响尚不明确。该文提出一种面向不同难度任务,基于自我调节行为的算术范式。被试者在每轮开始前可以根据自己的决策自行选择题目难度任务。范式可以观察在自我调节下,不同难度任务对被试者心理负荷的影响。该文使用事件相关电位(ERP)、功率谱密度(PSD)及脑电微状态进行分析。结果表明,在不同任务难度下,自我调节行为均引发了额外的心理负荷。自我调节行为主要与额叶区域有关,表现出P300振幅及theta,alpha频带功率增大,P600振幅减小。在中等难度任务下,自我调节引发的额外负荷较小,且促使被试者表现出更好的绩效水平。该文范式能够有效地识别出适合被试者的任务难度。在实际任务设计中,应考虑适合被试者的任务难度,减少不良自我调节行为的发生,提升被试者的绩效水平。
It has been shown that sustained high mental workload will lead to poor self-regulation behaviors,but the effect of self-regulation behavior on mental workload is not clear when facing different difficulty tasks.An arithmetic paradigm based on self-regulating behavior for tasks of varying difficulty is proposed.The subjects can choose the questions according to their own decisions before the start of each round.The paradigm can observe the effect of different difficulty tasks on the subjects’mental workload under self-regulation.The analysis can be performed using Event-Related Potential(ERP),Power Spectral Density(PSD),and microstates.The results show that under different tasks,self-regulation behaviors cause more mental workload.The self-regulation behavior is mainly related to the frontal,which shows stronger P300 amplitudes and theta and alpha band power,and smaller P600 amplitudes.On the moderately difficult task,the mental workload induced by self-regulation is smaller and prompts the subjects to exhibit better performance levels.This paradigm can effectively identify the task difficulty suitable for the subjects.In the actual task design,the difficulty of the task suitable for the subjects should be considered,so as to reduce the occurrence of poor selfregulation behaviors and improve the performance level of the subjects.
作者
闫佳庆
李丹
邓金钊
顾恒
孙文浩
龙舟
李小俚
YAN Jiaqing;LI Dan;DENG Jinzhao;GU Heng;SUN Wenhao;LONG Zhou;LI Xiaoli(College of Electrical and Control Engineering,North China University of Technology,Beijing 100144,China;State Key Laboratory of Cognitive Neuroscience and Learning,Beijing Normal University,Beijing 100875,China)
出处
《电子与信息学报》
EI
CSCD
北大核心
2023年第8期2780-2787,共8页
Journal of Electronics & Information Technology
基金
北京市教委科技一般项目(KM202010009006)。
关键词
心理负荷
自我调节
事件相关电位
功率谱密度
脑电微状态
Mental workload
Self-regulation
Event-Related Potential(ERP)
Power Spectral Density(PSD)
Microstates
作者简介
闫佳庆,男,博士,副教授,研究方向为神经信息与工程、计算神经科学;李丹,女,硕士生,研究方向为神经信号处理;邓金钊,男,硕士生,研究方向为计算神经科学;顾恒,男,博士,研究方向为认知工效学;孙文浩,男,硕士生,研究方向为神经信号处理;龙舟,男,硕士生,研究方向为神经信号处理;通信作者:李小俚,男,教授,研究方向为神经工程、信号处理与计算神经科学.xiaoli@bnu.edu.cn。
