Factors predicting the use of technology: Findings from the Center for Research and Education on Aging and Technology Enhancement (CREATE)

Georgia Institute of Technology, Atlanta, Georgia, United States
Psychology and Aging (Impact Factor: 2.73). 07/2006; 21(2):333-52. DOI: 10.1037/0882-7974.21.2.333
Source: PubMed


The successful adoption of technology is becoming increasingly important to functional independence. The present article reports findings from the Center for Research and Education on Aging and Technology Enhancement (CREATE) on the use of technology among community-dwelling adults. The sample included 1,204 individuals ranging in age from 18-91 years. All participants completed a battery that included measures of demographic characteristics, self-rated health, experience with technology, attitudes toward computers, and component cognitive abilities. Findings indicate that the older adults were less likely than younger adults to use technology in general, computers, and the World Wide Web. The results also indicate that computer anxiety, fluid intelligence, and crystallized intelligence were important predictors of the use of technology. The relationship between age and adoption of technology was mediated by cognitive abilities, computer self-efficacy, and computer anxiety. These findings are discussed in terms of training strategies to promote technology adoption.

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    • "Using a survey of 7000 retired persons, Ford and Ford (2009) showed that internet use by elderly Americans led to about a 20% reduction in depression; in other words, the internet increased their mental well-being. Predictors of internet use among senior citizens include higher education and greater income (Charness & Boot, 2009; Silver, 2014; Wright & Hill, 2009); positive attitudes towards computers and the internet (Wagner, Hassanein, & Head, 2010); high computer selfefficacy and low computer-anxiety (Czaja et al., 2006); good physical health (Kaye, 2000); and cognitive functioning (Czaja et al., 2006). The main purposes of internet surfing in older age are: managing health (Wong, Yeung, Ho, Tse, & Lam, 2012), nurturing professional interests, maintaining and extending social networks; appreciating the past and enjoying leisure (Khvorostianov et al., 2012). "
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    ABSTRACT: Using data from large scale Annual Social Surveys of the CBS in Israel, the current study investigated the impact of internet adoption and internet uses on the life satisfaction of senior citizens (aged 65þ), compared to those of working age (ages 20e64) during the decade of 2003e2012. The findings show high-medium levels of life satisfaction e higher in younger age group, compared to the senior citizens. Life satisfaction increased moderately over time among the younger age group, while among the older population it remained stable during the decade under study. Our main conclusion is that internet adoption and digital uses increase life satisfaction, after controlling for socio-demographic variables, sociability and health condition. In addition, internet adoption and digital uses can constitute an important channel for increasing life satisfaction among senior citizens and weaker social groups: people from low economic strata and those suffering from health problems that interfere with day-today functioning. Moreover, in contrast to other powerful factors impacting life satisfaction (income, religi-osity, sociability and health problems) this factor can be changed with relative ease, if digital literacy becomes one of the important goals in the national agenda.
    Computers in Human Behavior 01/2016; 54:197-206. DOI:10.1016/j.chb.2015.08.001 · 2.69 Impact Factor
    • "First, it was hypothesized that the minor differences in quantitative and qualitative equivalence between the two conditions would be more pronounced in older adults than has been shown in past research on younger adults due to differences previously found across age cohorts (e.g., Czaja et al., 2006; see Dickinson et al., 2007). Second, it was anticipated that the auxiliary aspects of missing data and completion time would not be equivalent, such that there would be a longer completion time and more missing data for the computer condition. "
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    ABSTRACT: Research is lacking on the equivalence of paper-and-pencil and computer-administered surveys in older adult samples. In addition, few comparability studies have used best practices for examining equivalence. The current study investigated quantitative (means), qualitative (internal consistency and intercorrelations), and auxiliary (missing items, completion time, and comfort) equivalence for completing self-report surveys in paper-and-pencil or computerized conditions in an older adult sample. One hundred and eight older adults ages 60 and over were randomly assigned to a paper-and-pencil or computer condition and completed questionnaires assessing personality, social desirability, and computer self-efficacy. Results generally showed qualitative equivalence, with some notable differences for quantitative and auxiliary equivalence.
    Computers in Human Behavior 01/2016; 54:407-413. DOI:10.1016/j.chb.2015.08.033 · 2.69 Impact Factor
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    • "Besides these psychological and social factors, aging is often accompanied by various physical problems including deteriorating health and cognitive functioning (Butler et al., 1998; Shapira et al., 2007), leading to greater dependency on others (Cox, 1988). Investigators have found that cognitive abilities such as memory and speed of information processing are important to successful performance of technology-based tasks (Czaja et al., 2006; Freese, Rivas, & Hargittai, 2006; Sharit et al., 2004). As a result, seniors often commit more user errors, require more assistance, and need additional time to accomplish assigned tasks (Lee, Chen, & Hewitt, 2011; Pan & Jordan-Marsh, 2010). "
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    ABSTRACT: Using data from large scale Annual Social Surveys of the CBS in Israel, the current research focused on trends of internet adoption and digital uses among the senior population in the past decade (2003–2012). The research goal was to identify the sociodemographic characteristics predicting internet access and digital uses and to examine whether the effects of these factors changed over time. During the decade the rate of internet access and digital uses increased continuously among the senior population, however the gap between them and the younger (20–64) age group was not eliminated; in fact it increased but only slightly. Our findings make it possible to identify disadvantaged groups in which being a senior intersects with additional risk factors: Arabs, immigrants, religious people, respondents from low socio-economic background and people with health problems. These findings are important for policy makers who attempt to promote internet use among Israeli older adults. Focusing on disadvantaged groups and implementing our specific recommendations may have beneficial effects.
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