Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1093/jamia/ocaa167 http://scihub22266oqcxt.onion/10.1093/jamia/ocaa167 32984890!7454579!32984890     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Am+Med+Inform+Assoc 2020 ; 27 (11): 1727-1731 Nephropedia Template TP {{tp|p=32984890|t=2020. User reactions to COVID-19 screening chatbots from reputable providers |pdf=|usr=}}{{32984890}} gab.com Text User reactions to COVID-19 screening chatbots from reputable providers JO: J Am Med Inform Assoc http://www.kidney.de/pget.php?&tw=1&pmid=32984890 #FOAvip OBJECTIVES: The objective was to understand how people respond to coronavirus disease 2019 (COVID-19) screening chatbots. MATERIALS AND METHODS: We conducted an online experiment with 371 participants who viewed a COVID-19 screening session between a hotline agent (chatbot or human) and a user with mild or severe symptoms. RESULTS: The primary factor driving user response to screening hotlines (human or chatbot) is perceptions of the agent's ability. When ability is the same, users view chatbots no differently or more positively than human agents. The primary factor driving perceptions of ability is the user's trust in the hotline provider, with a slight negative bias against chatbots' ability. Asian individuals perceived higher ability and benevolence than did White individuals. CONCLUSIONS: Ensuring that COVID-19 screening chatbots provide high-quality service is critical but not sufficient for widespread adoption. The key is to emphasize the chatbot's ability and assure users that it delivers the same quality as human agents. Twit Text FOAVip User reactions to COVID-19 screening chatbots from reputable providers ????J Am Med Inform Assoc http://www.kidney.de/pget.php?&tw=1&pmid=32984890 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32984890 #FOAvip English Wikipedia <ref>{{Cite pmid|32984890}}</ref> User reactions to COVID-19 screening chatbots from reputable providers #MMPMID32984890 Dennis AR; Kim A; Rahimi M; Ayabakan S J Am Med Inform Assoc 2020[Nov]; 27 (11): 1727-1731 PMID32984890show ga OBJECTIVES: The objective was to understand how people respond to coronavirus disease 2019 (COVID-19) screening chatbots. MATERIALS AND METHODS: We conducted an online experiment with 371 participants who viewed a COVID-19 screening session between a hotline agent (chatbot or human) and a user with mild or severe symptoms. RESULTS: The primary factor driving user response to screening hotlines (human or chatbot) is perceptions of the agent's ability. When ability is the same, users view chatbots no differently or more positively than human agents. The primary factor driving perceptions of ability is the user's trust in the hotline provider, with a slight negative bias against chatbots' ability. Asian individuals perceived higher ability and benevolence than did White individuals. CONCLUSIONS: Ensuring that COVID-19 screening chatbots provide high-quality service is critical but not sufficient for widespread adoption. The key is to emphasize the chatbot's ability and assure users that it delivers the same quality as human agents. |*Medical Informatics Applications[MESH] |*Pandemics[MESH] |*Telemedicine[MESH] |*Trust[MESH] |COVID-19[MESH] |COVID-19 Testing[MESH] |Clinical Laboratory Techniques/*methods[MESH] |Communication[MESH] |Coronavirus Infections/*diagnosis[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Pneumonia, Viral/*diagnosis[MESH]User reactions to COVID-19 screening chatbots from reputable providers(epmc).pdf DeepDyve Pubget Overpricing