| Literature DB >> 26690188 |
Katrien Luijkx1, Sebastiaan Peek2, Eveline Wouters3.
Abstract
Despite its potential, the acceptance of technology to support the ability to live independently in one's own home, also called aging in place, is not optimal. Family members may play a key role in technology acceptance by older adults; however, it is not well understood why and how they exert influence. Based on open interviews with 53 community-dwelling older adults, this paper describes the influence of family members, including spouses, on the use of various types of consumer electronics by older adults as was reported by themselves. Such a broad focus enables understanding the use of technology as was reported by older adults, instead of its intended use. Our study reveals that the influence of each family member has its own characteristics. The influence of technology acceptance is a natural and coincidental part of the interaction with spouses and grandchildren in which entertainment and pleasure are prominent. This is also partly true for the influence of children, but their influence also is intentional and driven by concerns. Our study indicates the importance of including all family members when implementing technology in the lives of older adults. Besides information for children about the use(fullness) of devices, it is worthwhile to give grandchildren an important role, because older adults easily adopt their enthusiasm and it might eventually lighten the burden on children.Entities:
Keywords: family; perspective of older adults; social network; technology acceptance; technology adoption
Mesh:
Year: 2015 PMID: 26690188 PMCID: PMC4690935 DOI: 10.3390/ijerph121214999
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
General characteristics and health indicators (n = 53).
| Age (Mean 78) | N | % |
|---|---|---|
| 65–69 | 3 | 5.7 |
| 70–74 | 11 | 20.8 |
| 75–79 | 21 | 39.6 |
| 80–84 | 11 | 20.8 |
| 85–89 | 5 | 9.4 |
| 90+ | 2 | 3.8 |
| Female | 34 | 64.2 |
| Male | 19 | 35.8 |
| None or primary education | 17 | 32.1 |
| Pre-vocational education | 11 | 20.8 |
| Secondary vocational education | 5 | 9.4 |
| Secondary education | 13 | 24.5 |
| Higher education | 7 | 13.2 |
| With partner | 15 | 28.3 |
| Alone | 38 | 71.7 |
| 0–1 | 1 | 1.9 |
| 2–3 | 20 | 37.7 |
| 4–6 | 20 | 37.7 |
| 7+ | 12 | 22.6 |
| No cognitive problems (MMSE: 27–30) | 42 | 79.2 |
| Some cognitive problems (MMSE: 24–26) | 11 | 20.8 |
| Not frail (TFI ≤ 4) | 25 | 47.2 |
| Frail (TFI ≥ 5) | 28 | 52.8 |
Summary of results.
Both advise each other on what to (not) use |
Both can initiate purchase |
Both can help each other in using technology |
Use by older adult may lead to use by spouse, and vice versa |
Together they form an implicit or explicit agreement on who uses what |
Children advise and help older adults, typically not the other way around |
Use by children may lead to use by older adults, typically not the other way around |
Children either help older adults in buying technology, or they buy it for them |
Children may be inclined to push their parents to use technology, out of concern |
Older adults may be inclined to use technology for the sake of their children |
Older adults may be inclined to not put a burden on their children |
Grandchildren advise and help older adults, typically not the other way around |
Use by grandchildren may lead to use by older adults, typically not the other way around |
Grandchildren influence older adults by their enthusiasm |
Older adults are typically not reluctant to ask their grandchildren for help |
Older adults are proud of their grandchildren’s technology related skills |