课堂上的数据驱动自然计算心理生理学

IF 3.1 3区 工程技术 Q2 NEUROSCIENCES Cognitive Neurodynamics Pub Date : 2024-06-04 DOI:10.1007/s11571-024-10126-9
Yong Huang, Yuxiang Huan, Zhuo Zou, Yijun Wang, Xiaorong Gao, Lirong Zheng
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引用次数: 0

摘要

目的。在教育和医疗机构中,对精神疲劳(MF)和注意力集中时间的评估通常依赖于主观量表或诱导任务中断工具等方法。然而,这些方法在实时评估和动态定义方面存在不足。为了弥补这一不足,本文提出了一种连续定量量表(CQS),可根据群体同步脑电图(EEG)数据自然、实时地测量精神疲劳度。方法。在本研究中,计算心理生理学被用于测量现实课堂中的 MF 分数。我们的方法能在不影响参与者正常作息的情况下持续监测他们的心理状态,从而提供客观的评估。通过使用协同计算方法分析多主体脑机接口(mBCI)数据,从 10 名健康参与者那里获得了群体同步数据,以评估中频水平。每位参与者在执行一项持续 80 分钟的任务之前,只需佩戴脑电图耳机进行 10 分钟的准备工作。主要结果。我们的研究结果表明,18.9 分钟的授课时间最有效,而 43.1 分钟的授课时间则会导致中频水平的提高。通过侧重于群体层面的同步数据分析,减轻了个体差异的影响,提高了认知计算的效率。从神经计算测量的角度来看,这些结果证实了之前的研究。意义重大。所提出的 CQS 提供了一种可靠、客观、无记忆和无情绪的方法来评估中频和注意广度。这些发现不仅对教育,而且对研究群体认知机制和提高心理保健质量都具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Data-driven natural computational psychophysiology in class

Objective. The assessment of mental fatigue (MF) and attention span in educational and healthcare settings frequently relies on subjective scales or methods such as induced-task interruption tools. However, these approaches are deficient in real-time evaluation and dynamic definitions. To address this gap, this paper proposes a Continuous Quantitative Scale (CQS) that allows for the natural and real-time measurement of MF based on group-synchronized electroencephalogram (EEG) data. Approach. In this study, computational psychophysiology was used to measure MF scores during a realistic class. Our methodology continuously monitored participants’ psychological states without interrupting their regular routines, providing an objective evaluation. By analyzing multi-subject brain-computer interface (mBCI) data with a collaborative computing approach, the group-synchronized data were obtained from 10 healthy participants to assess MF levels. Each participant wore an EEG headset for only 10 min of preparation before performing a sustained task for 80 min. Main results. Our findings indicate that a lecture duration of 18.9 min is most effective, while a duration of 43.1 min leads to heightened MF levels. By focusing on the group-level simultaneous data analysis, the effects of individual variability were mitigated and the efficiency of cognitive computing was improved. From the perspective of a neurocomputational measure, these results confirm previous research. Significance. The proposed CQS provides a reliable, objective, memory- and emotion-free approach to the assessment of MF and attention span. These findings have significant implications not only for education, but also for the study of group cognitive mechanisms and for improving the quality of mental healthcare.

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来源期刊
Cognitive Neurodynamics
Cognitive Neurodynamics 医学-神经科学
CiteScore
6.90
自引率
18.90%
发文量
140
审稿时长
12 months
期刊介绍: Cognitive Neurodynamics provides a unique forum of communication and cooperation for scientists and engineers working in the field of cognitive neurodynamics, intelligent science and applications, bridging the gap between theory and application, without any preference for pure theoretical, experimental or computational models. The emphasis is to publish original models of cognitive neurodynamics, novel computational theories and experimental results. In particular, intelligent science inspired by cognitive neuroscience and neurodynamics is also very welcome. The scope of Cognitive Neurodynamics covers cognitive neuroscience, neural computation based on dynamics, computer science, intelligent science as well as their interdisciplinary applications in the natural and engineering sciences. Papers that are appropriate for non-specialist readers are encouraged. 1. There is no page limit for manuscripts submitted to Cognitive Neurodynamics. Research papers should clearly represent an important advance of especially broad interest to researchers and technologists in neuroscience, biophysics, BCI, neural computer and intelligent robotics. 2. Cognitive Neurodynamics also welcomes brief communications: short papers reporting results that are of genuinely broad interest but that for one reason and another do not make a sufficiently complete story to justify a full article publication. Brief Communications should consist of approximately four manuscript pages. 3. Cognitive Neurodynamics publishes review articles in which a specific field is reviewed through an exhaustive literature survey. There are no restrictions on the number of pages. Review articles are usually invited, but submitted reviews will also be considered.
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