Pilot mental workload analysis in the A320 traffic pattern based on HRV features [0.03%]
基于HRV特征的A320五边区域飞行员工作负荷分析
Jiajun Yuan,Bo Jia,Chenyang Zhang et al.
Jiajun Yuan et al.
Pilot mental workload is a critical factor influencing flight safety, particularly during dynamic flight phases with high cognitive demands such as takeoff and landing. This study evaluates pilot workload across different flight phases (tak...
Diana E Gherman,Thorsten O Zander
Diana E Gherman
Introduction: Large-language models (LLMs) are transforming most industries today and are set to become a cornerstone of the human digital experience. While integrating explicit human feedback into the training and develo...
An EEG-network-metric based approach to real-time trust inference in human-autonomy teaming [0.03%]
基于EEG网络度量的实时人自主团队信任推理方法
Gregory Bales,Allison P A Hayman,Torin K Clark et al.
Gregory Bales et al.
Efficient and effective teaming between humans and autonomous systems requires the establishment and maintenance of trust to maximize team task performance. Despite advances in autonomous systems, human expertise remains critical in tasks f...
Machine learning performance in EEG-based mental workload classification across task types: a systematic review [0.03%]
基于EEG的机器学习在不同任务类型下的心理负荷分类性能系统评价
Miloš Pušica,Bogdan Mijović,Maria Chiara Leva et al.
Miloš Pušica et al.
The literature features a variety of tasks and methodologies to induce mental workload (MWL) and to assess the performance of MWL estimation models. Because no standardized benchmark task or set of tasks exists, the comparison of different ...
Neuro-insights: a systematic review of neuromarketing perspectives across consumer buying stages [0.03%]
神经学见解：消费者购买阶段的神经营销观点系统性回顾
Raveena Gupta,Anuj Pal Kapoor,Harsh V Verma
Raveena Gupta
The application of neurophysiological techniques in marketing and consumer research has seen substantial growth in recent years. This review provides a comprehensive overview of how neuroscience has been integrated into consumer behavior re...
How low can you go: evaluating electrode reduction methods for EEG-based speech imagery BCIs [0.03%]
无下不彻：基于EEG的语音想象BCI中评价电极削减方法
Maurice Rekrut,Johannes Ihl,Tobias Jungbluth et al.
Maurice Rekrut et al.
Speech imagery brain-computer interfaces (SI-BCIs) aim to decode imagined speech from brain activity and have been successfully established using non-invasive brain measures such as electroencephalography (EEG). However, current EEG-based S...
The impact of cross-validation choices on pBCI classification metrics: lessons for transparent reporting [0.03%]
交叉验证选择对pBCI分类指标的影响：透明报道的教训
Felix Schroeder,Stephen Fairclough,Frederic Dehais et al.
Felix Schroeder et al.
Neuroadaptive technologies are a type of passive Brain-computer interface (pBCI) that aim to incorporate implicit user-state information into human-machine interactions by monitoring neurophysiological signals. Evaluating machine learning a...
Validation of the EmotiBit wearable sensor for heart-based measures under varying workload conditions [0.03%]
穿戴式EmotiBit传感器在不同工作量条件下的心率验证
Anna Vorreuther,Nektaria Tagalidou,Mathias Vukelić
Anna Vorreuther
Introduction: The EmotiBit photoplethysmography (PPG) device allows user-owned data collection for measures of cardiovascular activity (CVA) and electrodermal activity (EDA) in naturalistic settings. The aim of this study...
One size does not fit all: a support vector machine exploration of multiclass cognitive state classifications using physiological measures [0.03%]
大小不通吃：一种使用生理测量的多类认知状态分类的支持向量机探索
Jonathan Vogl,Kevin O&#x;Brien,Paul St Onge
Jonathan Vogl
Introduction: This study aims to develop and evaluate support vector machines (SVMs) learning models for predicting cognitive workload (CWL) based on physiological data. The objectives include creating robust binary class...
The brain networks indices associated with the human perception of comfort in static force exertion tasks [0.03%]
静力作业中人体舒适感知的脑网络指标研究
Lina Ismail,Waldemar Karwowski
Lina Ismail
Introduction: The perception of physical comfort is one of the important workplace design parameters. Most comfort perception studies have mainly relied on subjective assessments and biomechanical techniques, with limited...