Technology to Support Aging in Place: Older Adults' Perspectives.

Wang, Shengzhi; Bolling, Khalisa; Mao, Wenlin; Reichstadt, Jennifer; Jeste, Dilip; Kim, Ho-Cheol; Nebeker, Camille

Wang, Shengzhi; Bolling, Khalisa; Mao, Wenlin; Reichstadt, Jennifer; Jeste, Dilip; Kim, Ho-Cheol; Nebeker, Camille.

Afiliación

Wang S; The Design Lab, Computer Science and Engineering, Jacobs School of Engineering, UC San Diego, La Jolla, CA 92093, USA. shw198@ucsd.edu.
Bolling K; Department of Family Medicine and Public Health, School of Medicine, UC San Diego, La Jolla, CA 92093, USA. kbolling@ucsd.edu.
Mao W; Computer Science and Engineering, Jacobs School of Engineering, UC San Diego, La Jolla, CA 92093, USA. w6mao@ucsd.edu.
Reichstadt J; Division of Geriatrics and Gerontology, Department of Medicine, School of Medicine, UC San Diego, La Jolla, CA 92093, USA. jreichstadt@ucsd.edu.
Jeste D; Department of Psychiatry, Sam and Rose Stein Institute for Research on Aging, School of Medicine, UC San Diego, La Jolla, CA 92093, USA. djeste@ucsd.edu.
Kim HC; Scalable Knowledge Intelligence, IBM Research-Almaden, San Jose, CA 95120, USA. hckim@us.ibm.com.
Nebeker C; The Design Lab, Center for Wireless and Population Health Systems, Department of Family Medicine and Public Health, School of Medicine, UC San Diego, La Jolla, CA 92093, USA. nebeker@eng.ucsd.edu.

Healthcare (Basel) ; 7(2)2019 Apr 10.

Article en En | MEDLINE | ID: mdl-30974780

Palabras clave

artificial intelligence; co-design; privacy; research ethics; retirement community; robots

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Revista: Healthcare (Basel) Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza

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