Literature DB >> 31178672

Understanding healthcare providers' perceptions of a personal assistant robot.

Tracy L Mitzner1, Lorenza Tiberio2, Charles C Kemp3, Wendy A Rogers4.   

Abstract

To successfully deploy a robot into a healthcare setting, it must be accepted by the end users. This study explored healthcare providers' perceptions of a mobile manipulator class personal robot assisting with caregiving tasks for older adult patients. Participants were 14 healthcare providers with an average of 12 years of continuous work experience with older patients. Quantitative and qualitative methods were used. Participants indicated a willingness to use a mobile manipulator robot as an assistant, yet they expressed discretion in their acceptance for different tasks. Benefits of robot assistance noted by participants included saving time, being accurate when conducting medical tasks, and enabling them to be more productive. Participants expressed concern about robots being unreliable, hazardous to patients, and inappropriate for performing some tasks (e.g., those that involve close patient contact). These findings provide insights into healthcare providers' attitudes and preferences for assistance from a mobile manipulator robot.

Entities:  

Keywords:  aging; caregiving tasks; healthcare; long-term care; robot assistance; technology acceptance

Year:  2018        PMID: 31178672      PMCID: PMC6553648          DOI: 10.4017/gt.2018.17.1.005.00

Source DB:  PubMed          Journal:  Gerontechnology        ISSN: 1569-1101


  16 in total

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Authors:  Marie Pierre Gagnon; Estibalitz Orruño; José Asua; Anis Ben Abdeljelil; José Emparanza
Journal:  Telemed J E Health       Date:  2011-11-14       Impact factor: 3.536

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Authors:  Yanika Kowitlawakul
Journal:  Comput Inform Nurs       Date:  2011-07       Impact factor: 1.985

4.  Domestic Robots for Older Adults: Attitudes, Preferences, and Potential.

Authors:  Cory-Ann Smarr; Tracy L Mitzner; Jenay M Beer; Akanksha Prakash; Tiffany L Chen; Charles C Kemp; Wendy A Rogers
Journal:  Int J Soc Robot       Date:  2014-04-01       Impact factor: 5.126

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Authors:  Judith A Oulton
Journal:  Policy Polit Nurs Pract       Date:  2006-08

6.  Using a modified technology acceptance model in hospitals.

Authors:  Vassilios P Aggelidis; Prodromos D Chatzoglou
Journal:  Int J Med Inform       Date:  2008-08-03       Impact factor: 4.046

7.  Implementation of an i.v.-compounding robot in a hospital-based cancer center pharmacy.

Authors:  Angela W Yaniv; Scott J Knoer
Journal:  Am J Health Syst Pharm       Date:  2013-11-15       Impact factor: 2.637

8.  Why Some Humanoid Faces Are Perceived More Positively Than Others: Effects of Human-Likeness and Task.

Authors:  Akanksha Prakash; Wendy A Rogers
Journal:  Int J Soc Robot       Date:  2015-04-01       Impact factor: 5.126

Review 9.  Overview and Categorization of Robots Supporting Independent Living of Elderly People: What Activities Do They Support and How Far Have They Developed.

Authors:  Sandra Bedaf; Gert Jan Gelderblom; Luc De Witte
Journal:  Assist Technol       Date:  2015

10.  Factors predicting the use of technology: findings from the Center for Research and Education on Aging and Technology Enhancement (CREATE).

Authors:  Sara J Czaja; Neil Charness; Arthur D Fisk; Christopher Hertzog; Sankaran N Nair; Wendy A Rogers; Joseph Sharit
Journal:  Psychol Aging       Date:  2006-06
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