Validation of a Thai artificial chatmate designed for cheering up the elderly during the COVID-19 pandemic [version 3; peer review: 2 approved with reservations]

Background The COVID-19 pandemic severely affected populations of all age groups. The elderly are a high-risk group and are highly vulnerable to COVID-19. Assistive software chatbots can enhance the mental health status of the elderly by providing support and companionship. The objective of this stu...

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Veröffentlicht in:	F1000 research 2022, Vol.11, p.1411
Hauptverfasser:	Deepaisarn, Somrudee, Imkome, Ek-uma, Wongpatikaseree, Konlakorn, Yuenyong, Sumeth, Lakanavisid, Ploi, Soonthornchaiva, Rangsiman, Yomaboot, Panida, Angkoonsawaengsuk, Angkoon, Munpansa, Napawan
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Chatbots Cognition & reasoning Coronaviruses COVID-19 Datasets Embedding Emotions Health care Interfaces Medical screening Mental health Neural networks Older people Pandemics Risk groups Usability Validity Virtual reality
Online-Zugang:	Volltext
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