Socially-smart computing to support older adults with severe visual impairments: Proof-of-concept.

Bibliographic Details
Published in:Gerontechnology Vol. 9; no. 4; pp. 472 - 484
Main Authors: Smith-Jackson, Tonya, Carroll, Katherine, Kim, Si J, Suh, Minyoung, Ryu, Young S
Format: research tables/charts Journal Article
Published: International Society for Gerontechnology 2010
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=108241726&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 108241726
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        15691101
        904R
      jtl: Gerontechnology
      issn: 15691101
      maglogo: N
    pubinfo:
      dt: 2010
      vid: 9
      iid: 4
      pid: 54298
      pub: International Society for Gerontechnology
    artinfo:
      ui:
        108241726
        108241726
        2011215643
        10.4017/gt.2010.09.04.006.00
        108241726
      ppf: 472
      ppct: 12
      formats:
      tig:
        atl: Socially-smart computing to support older adults with severe visual impairments: Proof-of-concept.
      aug:
        au:
          Smith-Jackson, Tonya
          Carroll, Katherine
          Kim, Si J
          Suh, Minyoung
          Ryu, Young S
        affil: Virginia Polytechnic Institute and State University, Grado Department of Industrial and Systems Engineering, 250 Durham Hall, MC 0118, Virginia Tech, Blacksburg, Virginia, 24061, USA; smithjack@vt.edu
      sug:
        subj:
          Assistive Technology Devices
          Clothing
          Vision Disorders In Old Age
          Aged
          Chi Square Test
          Content Analysis
          Equipment Design
          Feedback
          Female
          Funding Source
          Human
          Male
          Middle Age
          Physical Mobility
          Prevalence
          Qualitative Studies
          Quality of Life
          Questionnaires
          Two-Tailed Test
          Vision Disorders Epidemiology
          Aged: 65+ years
          Middle Aged: 45-64 years
          Female
          Male
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N