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10.3390/brainsci5030318 http://scihub22266oqcxt.onion/10.3390/brainsci5030318 C4588142!4588142!26266424     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Brain+Sci 2015 ; 5 (3): 318-54 Nephropedia Template TP {{tp|p=26266424|t=2015. The Human Factors and Ergonomics of P300-Based Brain-Computer Interfaces |pdf=|usr=}}{{26266424}} gab.com Text The Human Factors and Ergonomics of P300-Based Brain-Computer Interfaces JO: Brain Sci http://www.kidney.de/pget.php?&tw=1&pmid=26266424 #FOAvip Individuals with severe neuromuscular impairments face many challenges in communication and manipulation of the environment. Brain-computer interfaces (BCIs) show promise in presenting real-world applications that can provide such individuals with the means to interact with the world using only brain waves. Although there has been a growing body of research in recent years, much relates only to technology, and not to technology in use?i.e., real-world assistive technology employed by users. This review examined the literature to highlight studies that implicate the human factors and ergonomics (HFE) of P300-based BCIs. We assessed 21 studies on three topics to speak directly to improving the HFE of these systems: (1) alternative signal evocation methods within the oddball paradigm; (2) environmental interventions to improve user performance and satisfaction within the constraints of current BCI systems; and (3) measures and methods of measuring user acceptance. We found that HFE is central to the performance of P300-based BCI systems, although researchers do not often make explicit this connection. Incorporation of measures of user acceptance and rigorous usability evaluations, increased engagement of disabled users as test participants, and greater realism in testing will help progress the advancement of P300-based BCI systems in assistive applications. Twit Text FOAVip The Human Factors and Ergonomics of P300-Based Brain-Computer Interfaces ????Brain Sci http://www.kidney.de/pget.php?&tw=1&pmid=26266424 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26266424 #FOAvip English Wikipedia <ref>{{Cite pmid|26266424}}</ref> The Human Factors and Ergonomics of P300-Based Brain-Computer Interfaces #MMPMID26266424 Powers JC; Bieliaieva K; Wu S; Nam CS Brain Sci 2015[Sep]; 5 (3): 318-54 PMID26266424show ga Individuals with severe neuromuscular impairments face many challenges in communication and manipulation of the environment. Brain-computer interfaces (BCIs) show promise in presenting real-world applications that can provide such individuals with the means to interact with the world using only brain waves. Although there has been a growing body of research in recent years, much relates only to technology, and not to technology in use?i.e., real-world assistive technology employed by users. This review examined the literature to highlight studies that implicate the human factors and ergonomics (HFE) of P300-based BCIs. We assessed 21 studies on three topics to speak directly to improving the HFE of these systems: (1) alternative signal evocation methods within the oddball paradigm; (2) environmental interventions to improve user performance and satisfaction within the constraints of current BCI systems; and (3) measures and methods of measuring user acceptance. We found that HFE is central to the performance of P300-based BCI systems, although researchers do not often make explicit this connection. Incorporation of measures of user acceptance and rigorous usability evaluations, increased engagement of disabled users as test participants, and greater realism in testing will help progress the advancement of P300-based BCI systems in assistive applications. äThe Human Factors and Ergonomics of P300-Based Brain-Computer Interfac(epmc).pdf DeepDyve Pubget Overpricing