NPFC-Test 23A: A dataset for assessing neuronal, physiological, and facial coding attributes in a human-computer interaction learning scenario
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This dataset was collected through the NPFC-Test experiment, focused on capturing neural, physiological, and facial coding modalities for assessing concentration and motivation in students. The experiment involved the use of advanced biometric sensors to monitor brainwaves, biomarkers, facial gestures, and self-reported engagement levels. Using biometric devices (Muse 2, Empatica EmbracePlus, Azure Kinect), data were obtained during various tasks, including audiovisual content interactions, comprehension exercises, and self-evaluations. This database is pioneering in providing publicly accessible data that correlates facial gestures, physiological signals, and self-reported metrics during educational tasks. It serves as a valuable resource for research at the intersection of neuroeducation and student engagement, supporting interdisciplinary collaborations to further understand cognitive and emotional responses in learning environments. The database contains the following variables collected during the NPFC-Test experiment: - Timestamp variable records the unique date and time identifier in the format "yyyy/mm/dd HH:MM". - Subject_ID is a unique text identifier for each user, formatted as "IFE-EC-NPFC-T003-NN", where NN can range from 00 to 49. - Test_Time shows the elapsed time in the test in the format "HH:MM". - Task_Num identifies the task with specific values, such as 1.1 for demographic information or 8.1 for final meditation. - Task_Time indicates the time spent on each task. - Task_Type classifies the task as 0 (Self-evaluation), 1 (Focus), or 2 (Emotions). - Frame and Task_Frame variables are used to identify each analyzed video frame, every 30 frames. - Self-report responses are found in Selfreport_valence, Selfreport_arousal, and Selfreport_focus, with numeric values indicating the level of alertness, enjoyment, and demand for focus, respectively. - Face_Detection shows whether the user’s face was detected (0 = No, 1 = Yes). - Emotions such as resmasknet_anger, resmasknet_disgust, and resmasknet_fear, among others, were analyzed with probabilities ranging from 0 to 1. The same emotions were detected using an SVM model with variables like svm_anger and svm_happiness, among others, where 0 indicates the emotion was not detected, and 1 indicates it was detected. - Physiological parameters include Temperature in degrees Celsius, EDA in microseconds, and BVP in nanowatts. - The HeadBandOn variable indicates whether the Muse 2 headband was correctly used. - Brainwave data are measured in absolute power bands for delta, theta, alpha, beta, and gamma waves at locations TP9, AF7, AF8, and TP10, with values ranging from -1 to 1.75 Bels. Finally, the RAW_TP9, RAW_AF7, RAW_AF8, and RAW_TP10 variables represent raw EEG values in microvolts detected at each brain location.
本数据集通过NPFC-Test实验采集所得，旨在捕捉神经、生理及面部编码模态，以评估学生的专注力与动机水平。该实验采用先进的生物识别传感器，监测脑电波、生物标志物、面部动作及自我报告的投入程度。本实验使用Muse 2、Empatica EmbracePlus、Azure Kinect等生物识别设备，在多项任务中采集数据，任务类型涵盖视听内容交互、理解练习及自我评估。本数据库开创性地提供了可公开获取的数据集，关联了教育任务场景下面部动作、生理信号与自我报告指标，可作为神经教育学与学生投入度交叉领域研究的宝贵资源，支撑跨学科合作以进一步探究学习环境中的认知与情感反应机制。 本数据库包含NPFC-Test实验期间采集的以下变量： - Timestamp变量：以"yyyy/mm/dd HH:MM"格式记录唯一的日期时间标识符。 - Subject_ID：每位用户的唯一文本标识符，格式为"IFE-EC-NPFC-T003-NN"，其中NN取值范围为00至49。 - Test_Time：以"HH:MM"格式显示测试过程中的累计时长。 - Task_Num：用于标识任务，取值示例包括1.1（人口统计信息收集）与8.1（最终冥想任务）。 - Task_Time：表示单任务的耗时。 - Task_Type：对任务进行分类，取值为0（自我评估）、1（专注力任务）或2（情感任务）。 - Frame与Task_Frame变量：用于标识每一个待分析的视频帧，每30帧进行一次标记。 - 自我报告数据包含Selfreport_valence、Selfreport_arousal与Selfreport_focus三个字段，其数值分别对应警觉度、愉悦感与专注力需求水平。 - Face_Detection：标识是否检测到用户面部（0=未检测到，1=已检测到）。 - 情感分析字段包括resmasknet_anger、resmasknet_disgust、resmasknet_fear等，其取值为0至1的概率值；此外还可通过支持向量机（Support Vector Machine，SVM）模型检测同类情感，对应字段包括svm_anger、svm_happiness等，取值0表示未检测到该情感，1表示已检测到。 - 生理参数包括：以摄氏度为单位的体温、以微秒为单位的皮肤电活动（Electrodermal Activity, EDA），以及以纳瓦为单位的血容量脉搏（Blood Volume Pulse, BVP）。 - HeadBandOn变量：标识Muse 2头带是否正确佩戴。 - 脑电波数据采集了TP9、AF7、AF8与TP10四个点位的δ波、θ波、α波、β波及γ波的绝对功率谱，取值范围为-1至1.75贝尔。 - 最后，RAW_TP9、RAW_AF7、RAW_AF8与RAW_TP10变量表示各脑区采集到的原始脑电（Electroencephalogram, EEG）值，单位为微伏。
