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10.1177/0018720820948981 http://scihub22266oqcxt.onion/10.1177/0018720820948981 32762485!ä!32762485 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Hum+Factors 2020 ; 62 (7): 1087-1094 Nephropedia Template TP {{tp|p=32762485|t=2020. Human-Automation Trust to Technologies for Naive Users Amidst and Following the COVID-19 Pandemic |pdf=|usr=}}{{32762485}} gab.com Text Human-Automation Trust to Technologies for Naive Users Amidst and Following the COVID-19 Pandemic JO: Hum Factors http://www.kidney.de/pget.php?&tw=1&pmid=32762485 #FOAvip OBJECTIVE AND BACKGROUND: Trust is a critical factor that influences the success or failure of human-automation interaction in a variety of professional domains such as transportation, military, and healthcare. The unprecedented COVID-19 crisis will likely accelerate the implementation of automation and create unique problems involving human-automation trust for naive users of automated technologies in the future. METHOD: We briefly review factors that can influence the development of human-automation trust amidst and following the COVID-19 pandemic. We focus on two theories on human-automation trust and how naive users develop and maintain their trust in unfamiliar technologies. RESULTS: The current review identifies user workload and perceived risk as critical factors that will impact human-automation trust during the COVID-19 pandemic. Both theories predict that it is important for naive users to accumulate and analyze behavioral evidence of automated technologies to maintain appropriate trust levels as the pandemic progresses. CONCLUSION AND APPLICATION: Theories of human-automation trust inform trajectories of trust development toward unfamiliar technologies for naive users. In application, manufacturers and distributers should focus on communicating system information effectively to retain users who may be "forced" to use unfamiliar technologies during the COVID-19 pandemic. Twit Text FOAVip Human-Automation Trust to Technologies for Naive Users Amidst and Following the COVID-19 Pandemic ????Hum Factors http://www.kidney.de/pget.php?&tw=1&pmid=32762485 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32762485 #FOAvip English Wikipedia <ref>{{Cite pmid|32762485}}</ref> Human-Automation Trust to Technologies for Naive Users Amidst and Following the COVID-19 Pandemic #MMPMID32762485 Yamani Y; Long SK; Itoh M Hum Factors 2020[Nov]; 62 (7): 1087-1094 PMID32762485show ga OBJECTIVE AND BACKGROUND: Trust is a critical factor that influences the success or failure of human-automation interaction in a variety of professional domains such as transportation, military, and healthcare. The unprecedented COVID-19 crisis will likely accelerate the implementation of automation and create unique problems involving human-automation trust for naive users of automated technologies in the future. METHOD: We briefly review factors that can influence the development of human-automation trust amidst and following the COVID-19 pandemic. We focus on two theories on human-automation trust and how naive users develop and maintain their trust in unfamiliar technologies. RESULTS: The current review identifies user workload and perceived risk as critical factors that will impact human-automation trust during the COVID-19 pandemic. Both theories predict that it is important for naive users to accumulate and analyze behavioral evidence of automated technologies to maintain appropriate trust levels as the pandemic progresses. CONCLUSION AND APPLICATION: Theories of human-automation trust inform trajectories of trust development toward unfamiliar technologies for naive users. In application, manufacturers and distributers should focus on communicating system information effectively to retain users who may be "forced" to use unfamiliar technologies during the COVID-19 pandemic. |*Automation[MESH] |*Inservice Training[MESH] |*Trust[MESH] |COVID-19[MESH] |Coronavirus Infections/*prevention & control[MESH] |Humans[MESH] |Pandemics/*prevention & control[MESH] |Pneumonia, Viral/*prevention & control[MESH] |Risk Assessment[MESH]Human-Automation Trust to Technologies for Naive Users Amidst and Foll(epmc).pdf DeepDyve Pubget Overpricing