8,014 research outputs found
Brain enhancement through cognitive training: A new insight from brain connectome
Owing to the recent advances in neurotechnology and the progress in understanding of brain cognitive functions, improvements of cognitive performance or acceleration of learning process with brain enhancement systems is not out of our reach anymore, on the contrary, it is a tangible target of contemporary research. Although a variety of approaches have been proposed, we will mainly focus on cognitive training interventions, in which learners repeatedly perform cognitive tasks to improve their cognitive abilities. In this review article, we propose that the learning process during the cognitive training can be facilitated by an assistive system monitoring cognitive workloads using electroencephalography (EEG) biomarkers, and the brain connectome approach can provide additional valuable biomarkers for facilitating leaners' learning processes. For the purpose, we will introduce studies on the cognitive training interventions, EEG biomarkers for cognitive workload, and human brain connectome. As cognitive overload and mental fatigue would reduce or even eliminate gains of cognitive training interventions, a real-time monitoring of cognitive workload can facilitate the learning process by flexibly adjusting difficulty levels of the training task. Moreover, cognitive training interventions should have effects on brain sub-networks, not on a single brain region, and graph theoretical network metrics quantifying topological architecture of the brain network can differentiate with respect to individual cognitive states as well as to different individuals' cognitive abilities, suggesting that the connectome is a valuable approach for tracking the learning progress. Although only a few studies have exploited the connectome approach for studying alterations of the brain network induced by cognitive training interventions so far, we believe that it would be a useful technique for capturing improvements of cognitive function
Cognitive ability and computer simulation
General Mental Ability (GMA) is the single strongest predictor of future work performance currently available. Tests of GMA used for selection purposes carry potential for adverse impact if used as a primary tool for employee selection; however, a factor of GMA known as Fluid Intelligence (Gf) should represent a more equitable assessment construct. Computer simulations appear to offer some beneficial attributes for selection purposes, but potential negative effects of GMA assessment may carry over to the new medium. In this study, I successfully used a computer simulated game to approximate two tests of Gf with a study of both pilot and in-person samples. Results indicated that a person\u27s prior experience and skill with computer simulated games does not influence predictions of Gf using a simulated game
Air Force Institute of Technology Research Report 2019
This Research Report presents the FY19 research statistics and contributions of the Graduate School of Engineering and Management (EN) at AFIT. AFIT research interests and faculty expertise cover a broad spectrum of technical areas related to USAF needs, as reflected by the range of topics addressed in the faculty and student publications listed in this report. In most cases, the research work reported herein is directly sponsored by one or more USAF or DOD agencies. AFIT welcomes the opportunity to conduct research on additional topics of interest to the USAF, DOD, and other federal organizations when adequate manpower and financial resources are available and/or provided by a sponsor. In addition, AFIT provides research collaboration and technology transfer benefits to the public through Cooperative Research and Development Agreements (CRADAs). Interested individuals may discuss ideas for new research collaborations, potential CRADAs, or research proposals with individual faculty using the contact information in this document
Air Force Institute of Technology Research Report 2020
This Research Report presents the FY20 research statistics and contributions of the Graduate School of Engineering and Management (EN) at AFIT. AFIT research interests and faculty expertise cover a broad spectrum of technical areas related to USAF needs, as reflected by the range of topics addressed in the faculty and student publications listed in this report. In most cases, the research work reported herein is directly sponsored by one or more USAF or DOD agencies. AFIT welcomes the opportunity to conduct research on additional topics of interest to the USAF, DOD, and other federal organizations when adequate manpower and financial resources are available and/or provided by a sponsor. In addition, AFIT provides research collaboration and technology transfer benefits to the public through Cooperative Research and Development Agreements (CRADAs). Interested individuals may discuss ideas for new research collaborations, potential CRADAs, or research proposals with individual faculty using the contact information in this document
A Comprehensive Study on Pedestrians' Evacuation
Human beings face threats because of unexpected happenings, which can be
avoided through an adequate crisis evacuation plan, which is vital to stop
wound and demise as its negative results. Consequently, different typical
evacuation pedestrians have been created. Moreover, through applied research,
these models for various applications, reproductions, and conditions have been
examined to present an operational model. Furthermore, new models have been
developed to cooperate with system evacuation in residential places in case of
unexpected events. This research has taken into account an inclusive and a
'systematic survey of pedestrian evacuation' to demonstrate models methods by
focusing on the applications' features, techniques, implications, and after
that gather them under various types, for example, classical models, hybridized
models, and generic model. The current analysis assists scholars in this field
of study to write their forthcoming papers about it, which can suggest a novel
structure to recent typical intelligent reproduction with novel features
Benefits of a high-performance computing cluster for calibrating brain-computer interface technology
Surrogate measures: A proposed alternative in human factors assessment of operational measures of performance
Surrogate measures are proposed as an alternative to direct assessment of operational performance for purposes of screening agents who may have to work under unusual stresses or in exotic environments. Such measures are particularly proposed when the surrogate can be empirically validated against the operational criterion. The focus is on cognitive (or throughput) performances in humans as opposed to sensory (input) or motor (output) measures, but the methods should be applicable for development of batteries which will tap input/output functions. A menu of performance tasks is under development for implementation on a battery-operated portable microcomputer, with 21 tests currently available. The tasks are reliable and become stable in minimum amounts of time; appear sensitive to some agents; comprise constructs related to actual job tasks; and are easily administered in most environments. Implications for human factors engineering studies in environmental stress are discussed
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