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The domesticated robot: design guidelines for assisting older adults to age in place

Published:05 March 2012Publication History

ABSTRACT

Many older adults wish to remain in their own homes as they age [16]. However, challenges in performing home upkeep tasks threaten an older adult's ability to age in place. Even healthy independently living older adults experience challenges in maintaining their home [13]. Challenges with home tasks can be compensated through technology, such as home robots. However, for home robots to be adopted by older adult users, they must be designed to meet older adults' needs for assistance and the older users must be amenable to robot assistance for those needs. We conducted a needs assessment to (1) assess older adults' openness to assistance from robots; and (2) understand older adults' opinions about using an assistive robot to help around the home. We administered questionnaires and conducted structured group interviews with 21 independently living older adults (ages 65-93). The questionnaire data suggest that older adults prefer robot assistance for cleaning and fetching/organizing tasks overall. However their assistance preferences discriminated between tasks. The interview data provided insight as to why they hold such preferences. Older adults reported benefits of robot assistance (e.g., the robot compensating for limitations, saving them time and effort, completing undesirable tasks, and performing tasks at a high level of performance). Participants also reported concerns such as the robot damaging the environment, being unreliable at or incapable of doing a task, doing tasks the older adult would rather do, or taking up too much space/storage. These data, along with specific comments from participant interviews, provide the basis for preliminary recommendations for designing mobile manipulator robots to support aging in place.

References

  1. AARP. (2005, April). Beyond 50.05 survey. Retrieved February 13, 2009, from http://assets.aarp.org/rgcenter/il/beyond_50_05_survey.pdfGoogle ScholarGoogle Scholar
  2. Baltes, P. B., and Baltes, M. M. 1990. Psychological perspectives on successful aging: The model of selective optimization with compensation. In P. Baltes and M. Baltes (Eds.), Successful aging: Perspectives from the Behavioral Sciences, 1--34. New York: Cambridge University Press.Google ScholarGoogle Scholar
  3. Broadbent, E., Stafford, R., and MacDonald, B. 2009. Acceptance of Healthcare Robots for the Older Population: Review and Future Directions. International Journal of Social Robotics,1, 4 (2009), 319--330. DOI = http://dx.doi.org/10.1007/s12369-009-0030--6.Google ScholarGoogle ScholarCross RefCross Ref
  4. Broadbent, E., Tamagawa, R., Patience, A., Knock, B., Kerse, N., Day, K., and MacDonald, B. A. 2011. Attitudes towards health-care robots in a retirement village. Australas. J. Ageing. DOI= http://dx.doi.org/10.1111/j.1741--6612.2011.00551.x.Google ScholarGoogle Scholar
  5. Bugmann, G., and Copleston, S. 2011. What Can a Personal Robot Do for You? In R. Groß, L. Alboul, C. Melhuish, M. Witkowski, T. Prescott & J. Penders (Eds.), Towards Autonomous Robotic Systems, 6856, 360--371. Berlin/Heidelberg: Springer. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Caine, K. E., Fisk, A. D. and Rogers, W. A. 2007. Designing privacy conscious aware homes for older adults. In Hum. Fac. Erg. Soc. P. (Baltimore, MD, Oct 1-5, 2007). HFES'07.Google ScholarGoogle Scholar
  7. Cesta, A., Cortellessa, G., Giuliani, M. V., Pecora, F., Scopelliti, M. and Tiberio, L. 2007. Psychological implications of domestic assistive technology for the elderly. PsychNology J., 5, 3.Google ScholarGoogle Scholar
  8. Choi, Y. S., Deyle, T., Chen, T., Glass, J. D., and Kemp, C. C. 2009. A List of Household Objects for Robotic Retrieval Prioritized by People with ALS. In Proceedings of International Conference on Rehabilitation Robotics (Kyoto, 23-26 June, 2009). ICRR '09. IEEE. DOI = http://dx.doi.org/10.1109/ICORR.2009.5209484.Google ScholarGoogle ScholarCross RefCross Ref
  9. Clark, M. C., Czaja, S. J. and Weber, R. A. 1990. Older Adults and Daily Living Task Profiles. Hum. Factors, 32, 5(1990), 537--549.Google ScholarGoogle ScholarCross RefCross Ref
  10. Czaja, S. J., Charness, N., Fisk, A. D., Hertzog, C., Nair, S. N., Rogers, W. A. and Sharit, J. 2006. Factors predicting the use of technology: Findings from the Center for Research and Education on Aging and Technology Enhancement (CREATE). Psychol. Aging, 21 (2006), 333--352. DOI = http://dx.doi.org/10.1037/0882-7974.21.2.333.Google ScholarGoogle ScholarCross RefCross Ref
  11. Erber, J. T. (2005). Aging and older adulthood. Belmont, CA: Wadsworth.Google ScholarGoogle Scholar
  12. Ezer, N., Fisk, A. D. and Roger, W. A. 2009. More than a servant: Self-reported willingness of younger and older adults to having a robot perform interactive and critical tasks in the home. In Hum. Fac. Erg. Soc. P., (San Antonio, TX, Oct 19-23, 2009). HFES'09, 136--150.Google ScholarGoogle Scholar
  13. Fausset, C. B., Kelly, A. J., Rogers, W. A. and Fisk, A. D. 2011. Challenges to aging in place: Understanding home maintenance difficulties. Journal of Housing for the Elderly, 25, 2 (May 2011), 125--141. DOI= http://dx.doi.org/10.1080/02763893.2011.571105.Google ScholarGoogle ScholarCross RefCross Ref
  14. Fausset, C. B., Mayer, A. K., Rogers, W. A., and Fisk, A. D., 2009. Understanding Aging in Place for Older Adults: A Needs Analysis. In Hum. Fac. Erg. Soc. P., (San Antonio, TX, Oct 19-23, 2009). HFES'09, 521--525.Google ScholarGoogle Scholar
  15. Fisk, A. D., Rogers, W., A., Charness, N., Czaja, S. J., and Sharit, J. 2009. Designing for Older Adults: Principles and creative Human Factors Approaches (2ed.). Boca Raton, FL: CRC Press.Google ScholarGoogle Scholar
  16. Gitlin, L. 2003. Conducting research on home environments: Lessons learned and new directions. The Gerontologist, 43, 5, 628--637. DOI = http://dx.doi.org/10.1093/geront/43.5.628Google ScholarGoogle ScholarCross RefCross Ref
  17. Giuliani, M. V., Scopelliti, M., and Fornara, F. 2005. Elderly People at Home: Technological Help in Everyday Activities. IEEE Workshop on Robots and Human Interactive Communication, (2005), 365--370.Google ScholarGoogle Scholar
  18. Houser, A., Fox-Grage, W., and Gibson, M. J. 2006. Across the States 2006: Profiles of Long-Term Care and Independent Living. From http://assets.aarp.org/rgcenter/health/d18763_2006_ats.pdf.Google ScholarGoogle Scholar
  19. King, C., Chen, T., Fan, Z., Glass, J. D., and Kemp, C. C. 2011. Dusty: An assistive mobile manipulator that retrieves dropped objects for people with motor impairments. Disabil. Rehabil., (Oct, 2011). DOI = http://dx.doi.org/10.3109/17483107.2011.615374.Google ScholarGoogle Scholar
  20. Lawton, M. P. 1990. Aging and performance of home tasks. Hum. Factors, 32, 5 (Oct 1990), 527--536.Google ScholarGoogle ScholarCross RefCross Ref
  21. Lawton, M. P., and Nahemow, L. 1973. Ecology and the Aging Process. In C. Eisdorfer and M. Powell Lawton (eds). The Psychology of Adult Development and Aging, 619--674. Washington D.C.: APA.Google ScholarGoogle Scholar
  22. Melenhorst, A.-S., Rogers, W. A., and Bouwhuis, D. G. 2006. Older Adults' Motivated Choice for Technological Innovation: Evidence for Benefit-Driven Selectivity. Psychol. Aging, 21, 1 (Mar 2006), 190--195. DOI = http://dx.doi.org/10.1037/0882-7974.21.1.190.Google ScholarGoogle ScholarCross RefCross Ref
  23. Pollack, M. E., Brown, L., Colbry, D., McCarthy, C. E., Orosz, C., Peintner, B., Ramakrishnan, S. and Tsamardinos, I. 2002. Autominder: an intelligent cognitive orthotic system for people with memory impairment. Robot. Auton. Syst., 44 (2002), 273--282. DOI = http://dx.doi.org/10.1.1.12.4554.Google ScholarGoogle ScholarCross RefCross Ref
  24. Rogers, W. A., Meyer, B., Walker, N., and Fisk, A. D. 1998. Functional limitations to daily living tasks in the aged: A focus group analysis. Hum. Factors, 40, 1 (1998), 111--125.Google ScholarGoogle ScholarCross RefCross Ref
  25. Smarr, C.-A., Fausset, C. B., and Rogers, W. A. 2011. Understanding the potential for robot assistance for older adults in the home environment (HFA-TR-1102). Atlanta, GA: Georgia Tech, School of Psychology, Human Factors and Aging Laboratory. http://hdl.handle.net/1853/39670Google ScholarGoogle Scholar
  26. Smarr, C., Prakash A., Beer J., Mitzner T., Kemp, C. and Rogers W. In prep. Older Adults' Preferences for and Acceptance of Robot Assistance for ADLs.Google ScholarGoogle Scholar
  27. U.S. Census Bureau. 2011. International data base. World population by age and sex. From http://www.census.gov/population/international/data/idb/worldpop.php}.Google ScholarGoogle Scholar
  28. Wada, K., Shibata, T., Musha, T. and Kimura, S. 2008. Robot therapy for elders affected by dementia. Engineering in Medicine and Biology Magazine, 27, 4 (2008), 53--60. DOI = http://dx.doi.org/10.1109/MEMB.2008.919496.Google ScholarGoogle ScholarCross RefCross Ref

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    • Published in

      cover image ACM Conferences
      HRI '12: Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
      March 2012
      518 pages
      ISBN:9781450310635
      DOI:10.1145/2157689

      Copyright © 2012 ACM

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      Publication History

      • Published: 5 March 2012

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