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

被引:21
作者
Davenport, Rick D. [1 ]
Mann, William [2 ]
Lutz, Barbara [3 ]
机构
[1] Nova SE Univ, Coll Hlth Care Sci, Dept Occupat Therapy, Tampa, FL 33619 USA
[2] Univ Florida, Coll Publ Hlth & Hlth Profess, Gainesville, FL USA
[3] Univ Florida, Coll Nursing, Gainesville, FL 32611 USA
关键词
aging; ethnographic research; mobility limitations; technology; user feedback; ASSISTIVE DEVICE USE; MOBILITY; NEEDS; CARE;
D O I
10.1080/10400435.2012.659792
中图分类号
R49 [康复医学];
学科分类号
100215 ;
摘要
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.
引用
收藏
页码:168 / 181
页数:14
相关论文
共 36 条
  • [1] Factors influencing the use of mobility technology in community-based long-term care
    Agree, EM
    Freedman, VA
    Sengupta, M
    [J]. JOURNAL OF AGING AND HEALTH, 2004, 16 (02) : 267 - 307
  • [2] Anderson G., 2001, MAKING USE USER RES
  • [3] Ante S., 2006, SCI DESIRE
  • [4] Investigating design issues in household environments
    L. Baillie
    D. Benyon
    C. Macaulay
    M. G. Petersen
    [J]. Cognition, Technology & Work, 2003, 5 (1) : 33 - 43
  • [5] Blomberg J., 2003, HUM FAC ER, P964
  • [6] Caldwell DG, 2001, IEEE ASME INT C ADV, P965, DOI 10.1109/AIM.2001.936811
  • [7] Privacy and senior willingness to adopt smart home information technology in residential care facilities
    Courtney, K. L.
    [J]. METHODS OF INFORMATION IN MEDICINE, 2008, 47 (01) : 76 - 81
  • [8] Creswell J. W., 2018, Qualitative inquiry research design: Choosing among five approaches, DOI DOI 10.1177/1524839915580941
  • [9] Older adults' attitudes towards and perceptions of 'smart home' technologies: a pilot study
    Demiris, G
    Rantz, MJ
    Aud, MA
    Marek, KD
    Tyrer, HW
    Skubic, M
    Hussam, AA
    [J]. MEDICAL INFORMATICS AND THE INTERNET IN MEDICINE, 2004, 29 (02): : 87 - 94
  • [10] Senior residents' perceived need of and preferences for "smart home" sensor technologies
    Demiris, George
    Hensel, Brian K.
    Skubic, Marjorie
    Rantz, Marilyn
    [J]. INTERNATIONAL JOURNAL OF TECHNOLOGY ASSESSMENT IN HEALTH CARE, 2008, 24 (01) : 120 - 124