Publication Cover
Assistive Technology
The Official Journal of RESNA
Volume 24, 2012 - Issue 3
1,337
Views
19
CrossRef citations to date
0
Altmetric
Original Articles

How Older Adults Make Decisions Regarding Smart Technology: An Ethnographic Approach

, &
Pages 168-181 | Published online: 09 Aug 2012
 

ABSTRACT

Comparatively little research has been conducted regarding the smart technology needs of the older adult population despite the proliferation of smart technology prototypes. The purpose of this study was to explore the perceived smart technology needs of older adults with mobility impairments while using an ethnographic research approach to construct a preliminary decision tree model of how these smart technology decisions are made. In-depth individual interviews with 11 older adults aged 65 and older with mobility impairments provided insight into how older adults perceived smart technology. Audio-taped interviews were transcribed verbatim, then analyzed for key phrases that represented participant decision criteria. Decision criteria concepts were combined to construct an older adult smart technology decision tree model. The model consisted of a preliminary decision stage that participants engaged in to make the decision of whether a change was needed in their current pattern of behavior; followed by an evaluation stage that included five potential barriers (i.e., not easy to use/learn) and seven potential facilitators (i.e., decreasing imposition on family/friends) to the smart technology need decision process. Future designers could use this decision model to create appropriately matched technological devices to promote independence of aging baby boomers with mobility impairments.

ACKNOWLEDGMENTS

This research was supported in part by (1) the VA Rehabilitation Research and Development Service (RR&D) through the Health Services Research & Development (HSR&D) Service and the Rehabilitation Research and Development (RR&D) Service Center of Excellence (COE) at the James A. Haley Veterans Hospital, Tampa, FL, and (2) the Rehabilitation Engineering Research Center on Technology for Successful Aging (RERC-Tech-Aging) through the National Institute on Disability and Rehabilitation Research (NIDRR) of the Department of Education under grant number H133E010106.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 95.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.