Socially Assistive Robots: Measuring Older Adults’ Perceptions
| Autor: | Paul A. Newhouse, Lorraine C. Mion, Jing Fan, Karen F Miller, Nilanjan Sarkar, Linda Beuscher, Mary S. Dietrich |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Cross-sectional study
media_common.quotation_subject Applied psychology Gerontological nursing Article 03 medical and health sciences 0302 clinical medicine Quality of life (healthcare) Cronbach's alpha Perception Health care Humans 030212 general & internal medicine skin and connective tissue diseases General Nursing media_common Aged Expectancy theory business.industry Cognition Robotics body regions Cross-Sectional Studies Quality of Life business Psychology Gerontology 030217 neurology & neurosurgery |
| Popis: | To address manpower shortages, health care leaders recommend technology, including robots, to facilitate and augment processes for delivery of efficient, safe care. Little is known regarding older adults' perceptions of socially assistive robots (SARs). Using the Unified Theory of Acceptance and Use Technology framework, a survey was developed and tested for capturing older adults' likelihood to use SARs. The Robot Acceptance Survey (RAS) comprises three subscales: Performance Expectancy, Effort Expectancy, and Attitude. Older adults completed the RAS pre- and post-experimental procedure with a SAR. Cronbach's alpha coefficients for the subscales ranged from 0.77 to 0.89. Subscales were sensitive to change, with more positive reactions after exposure to SAR activities. Future studies must identify robotic programming capable of providing cognitive, physical, and social assistance, as well as person-, activity-, situation-, and robot-specific factors that will influence older adults' acceptance of SARs. [ Journal of Gerontological Nursing, 43 (12), 35–43.] |
| Databáze: | OpenAIRE |
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