Cognitive effects of prolonged continuous human-machine interaction: The case for mental state-based adaptive interfaces [0.03%]
长时间连续人机交互的认知影响：基于心理状态的自适应界面的观点
Marcel F Hinss,Anke M Brock,Raphaëlle N Roy
Marcel F Hinss
Operators of complex systems across multiple domains (e.g., aviation, automotive, and nuclear power industry) are required to perform their tasks over prolonged and continuous periods of time. Mental fatigue as well as reduced cognitive fle...
P300 as a neural indicator for setting levels of goal scores in educational gamification applications from the perspective of intrinsic motivation: An ERP study [0.03%]
从内在动机的角度看P300作为教育游戏化应用中目标分数设定水平的神经指示器的一项ERP研究
Hiroki Watanabe,Yasushi Naruse
Hiroki Watanabe
The challenge level of goal achievement affects intrinsic motivation. Thus, the goal score learners are required to achieve is an important element in gamified educational applications to foster users' intrinsic motivation. However, determi...
Modeling the acceptability of BCIs for motor rehabilitation after stroke: A large scale study on the general public [0.03%]
中风后用于运动康复的BCI接受度建模：针对大众的一项大规模研究
Elise Grevet,Killyam Forge,Sebastien Tadiello et al.
Elise Grevet et al.
Introduction: Strokes leave around 40% of survivors dependent in their activities of daily living, notably due to severe motor disabilities. Brain-computer interfaces (BCIs) have been shown to be efficiency for improving ...
Associations of visual functions with attitudes about motor vehicle dashboards among older drivers [0.03%]
老年司机视觉功能与对机动车仪表板态度的相关性研究
Thomas A Swain,Scott W Snyder,Jr Gerald McGwin et al.
Thomas A Swain et al.
Purpose: Proper understanding and interaction with the dashboard is an essential aspect of safely operating a motor vehicle. A portion of this task is dependent on vision, yet no published information exists regarding das...
Using fNIRS to Identify Transparency- and Reliability-Sensitive Markers of Trust Across Multiple Timescales in Collaborative Human-Human-Agent Triads [0.03%]
使用fNIRS识别人类-人类-代理三元组在多个时间尺度下合作信任的透明度和可靠性的敏感标志物
Lucca Eloy,Emily J Doherty,Cara A Spencer et al.
Lucca Eloy et al.
Intelligent agents are rapidly evolving from assistants into teammates as they perform increasingly complex tasks. Successful human-agent teams leverage the computational power and sensory capabilities of automated agents while keeping the ...
A Transfer Learning Algorithm to Reduce Brain-Computer Interface Calibration Time for Long-Term Users [0.03%]
用于缩短长期使用者脑机接口校准时间的迁移学习算法
Joshua Giles,Kai Keng Ang,Kok Soon Phua et al.
Joshua Giles et al.
Current motor imagery-based brain-computer interface (BCI) systems require a long calibration time at the beginning of each session before they can be used with adequate levels of classification accuracy. In particular, this issue can be a ...
Does high-definition transcranial direct current stimulation change brain electrical activity in professional female basketball players during free-throw shooting? [0.03%]
高清晰经颅直流电刺激会改变专业女篮运动员在投篮时的大脑电活动吗？
Luciane Aparecida Moscaleski,André Fonseca,Rodrigo Brito et al.
Luciane Aparecida Moscaleski et al.
Differentiated brain activation in high-performance athletes supports neuronal mechanisms relevant to sports performance. Preparation for the motor action involves cortical and sub-cortical regions that can be non-invasively modulated by el...
Cognitive Performances: The Role of Digit Ratio (D2:D4) With a Protective Factor for Anxiety [0.03%]
认知表现：手指比例（D2:D4）作为焦虑的保护因素的作用
Sergio Rinella,Simona Massimino,Alessia Sorbello et al.
Sergio Rinella et al.
This study aimed to identify a possible correlation between the D2:D4 ratio and state and/or trait anxiety in adult healthy subjects and, if so, whether it exists any difference between men and women. In addition, we also wanted to observe ...
Elizabeth L Fox,Margaret Ugolini,Joseph W Houpt
Elizabeth L Fox
Introduction: A well-designed brain-computer interface (BCI) can make accurate and reliable predictions of a user's state through the passive assessment of their brain activity; in turn, BCI can inform an adaptive system ...
The neurophysiology of intraoperative error: An EEG study of trainee surgeons during robotic-assisted surgery simulations [0.03%]
术中错误的神经生理学：在机器人辅助手术模拟过程中对实习外科医生的脑电图研究
Christopher D&#x;Ambrosia,Eliah Aronoff-Spencer,Estella Y Huang et al.
Christopher D&#x;Ambrosia et al.
Surgeons operate in mentally and physically demanding workspaces where the impact of error is highly consequential. Accurately characterizing the neurophysiology of surgeons during intraoperative error will help guide more accurate performa...