Cited by 68Social Robot Interaction and HRITechnology Use by Older AdultsAI in Service Interactions

Comfort and Attitudes Towards Robots Among Young, Middle‐Aged, and Older Adults: A Cross‐Sectional Study

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Backonja, Uba, Hall, Amanda K., Painter, Ian, Kneale, Laura, Lazar, Amanda, Cakmak, Maya, Thompson, Hilaire J., Demiris, George·2018·Journal of Nursing Scholarship

Abstract

Purpose: To explore the social impact of, comfort with, and negative attitudes towards robots among young, middle‐aged, and older adults in the United States. Design: Descriptive, cross‐sectional. Conducted in 2014–2015 in an urban area of the western United States using a purposive sample of adults 18 years of age or older. Methods: Respondents completed a survey that included the Negative Attitudes Toward Robots Scale (NARS) and two questions taken or modified from the European Commission's Autonomous System 2015 Report. Analyses were conducted to compare perceptions and demographic factors by age groups (young adults:18–44, middle‐aged adults: 45–64, and older adults: >65 years old). Findings: Sample included 499 individuals (n = 322 age 18–44 years, n = 50 age 45–64 years, and n = 102 age 65–98 years). There were no significant differences between age groups for 9 of the 11 items regarding social impact of robots and comfort with robots. There were no significant differences by age groups for 9 of the 14 items in the NARS. Among those items with statistically significant differences, the mean scores indicate similar sentiments for each group. Conclusions: Older, middle‐aged, and younger adults had similar attitudes regarding the social impact of and comfort with robots; they also had similar negative attitudes towards robots. Findings dispel current perceptions that older adults are not as receptive to robots as other adults. This has implications for nurses who integrate supportive robots in their practice. Clinical Relevance: Nurses working in clinical and community roles can use these findings when developing and implementing robotic solutions. Understanding attitudes towards robots can support how, where, and with whom robots can be used in nursing practice.

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  1. European Union. (2015). Special Eurobarometer 427 “autonomous systems.” Brussels, Belgium: United Nations. doi: 10.2759/413916 · DOI
  2. Pollack ME, Brown L, Colbry D, Orosz C, Peintner B, Ramakrishnan S, Engber S, Matthews JT, Dunbar-Jacobs J, McCarthy CE, Thrun S, Montemerlo M, Pineau J, Roy N (2002). Pearl: A mobile robotic assistant for the elderly In Proceedings of the AAAI 2002 Workshop on Automation as Caregiver: The Role of Intelligent Rechnology in Elder care. Edmondton, Alberta, Canada (pp. 85– 91). Menlo Park, California: The AAAI Press.
  3. Syrdal DS, Dautenhahn K, Koay KL, & Walters ML (2009). The negative attitudes towards robot’s scale and reactions to robot behaviour in a live human-robot interaction study In Proceedings new frontiers in human-robot interaction, a symposium at the AISB2009 convention, Edinburgh, Scotland (pp. 109– 115). London, United Kingdom: Society for the Study of Artificial Intelligence and Simulation of Behaviour.
  4. Weiss A, Beer J, Shibata T, & Vincze M (2014). Socially assistive robots for the aging population In Proceedings of the 2014 ACM/IEEE international conference on human-robot interaction (HRI ‘14), Bielefeld, Germany (pp. 497– 498) New York, NY: Association for Computing Machinery (ACM).doi: 10.1145/2559636.256002 · DOI

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Authors
Backonja, U., Hall, A. K., Painter, I., Kneale, L., Lazar, A., Cakmak, M., Thompson, H. J., & Demiris, G.
Affiliations
  • University of Washington Tacoma (US)
  • University of Washington (US)
  • University of Maryland, College Park (US)
  • Computer Science and Engineering Department University of Washington Seattle WA USA
Corresponding author
Backonja, Uba
Venue
Journal of Nursing Scholarship
Publisher
Wiley
Published
2018-09-19
Volume
50
Issue
6
Pages
623-633
ISSN
  • 0363-2792 (ISSN-L)
  • 1527-6546
  • 1547-5069
OpenAlex
W2898585691
Cited by
68
References
28
Citations by year
2026: 5 · 2025: 11 · 2024: 10 · 2023: 8 · 2022: 12 · 2021: 6 · 2020: 12 · 2019: 4
FWCI
7.46
Type
journal article
Language
en
Open access
Locations
  • Journal of Nursing Scholarship (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • University of Washington Tacoma Digital Commons (University of Washington Tacoma) (submittedVersion)
Funders
  • National Institutes of Health
  • University of Washington (T15LM007442)
Topics
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Social Sciences › Demography › Technology Use by Older Adults
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
Keywords
attitudes toward robots, social impact of robots, age differences, older adults, young adults, middle-aged adults, nursing robots, human-robot interaction, nursing practice
MeSH terms
Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Attitude, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Surveys and Questionnaires, Robotics, Young Adult

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