Variability among older adults in Internet health information-seeking performance

Czaja, Sara J.; Hernández, Mario Alberto; Nair, Sankaran N.; Loewenstein, David

doi:10.4017/gt.2010.09.01.004.00

Cited by 63 publications

(44 citation statements)

References 19 publications

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“…Logistic regression results support this claim, since we have shown that decline in flexibility and planning had a negative influence on performance (correct answers provided) and that the higher vocabulary level of older adults did not allow overcoming the declines in fluid ability. These results support those obtained by Czaja, Sharit, Hernadez, Nair, and Loewenstein (2010), which have shown that older adults with higher reasoning abilities performed better compared to older adults with lower score.…”

Section: Discussionsupporting

confidence: 95%

Strategy and accuracy during information search on the Web: Effects of age and complexity of the search questions

Chevalier

Dommès²,

Marquié

2015

Computers in Human Behavior

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Section: Discussionsupporting

confidence: 95%

Strategy and accuracy during information search on the Web: Effects of age and complexity of the search questions

Chevalier

Dommès²,

Marquié

2015

Computers in Human Behavior

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“…Not surprisingly, measures of fluid intelligence abilities are strong predictors of Web use among this population (Czaja et al, 2006;Czaja et al, 2010). Older adults who measure high on tests of fluid intelligence engage in more types of Web activities (such as e-mail, games, news information, and shopping) than those who measure low on these tests.…”

Section: Usability Of Technologymentioning

confidence: 96%

Influencing technology adoption by older adults

Hanson

2010

Interacting with Computers

130

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a b s t r a c tWith the advent of a digital economy, an emphasis on digital products and services has emerged. Those who are not using current technologies will become excluded, however, from this revolution. Older adults represent one such group in danger of exclusion. In some cases, older adults have been disinterested in new technologies. In other cases, however, the technologies fail to take into consideration the strengths and weaknesses of older users that would promote this usability. This paper examines components of information search by younger and older adults. These are considered in terms of long-term implications of designing for older users, with current problems viewed as foreshadowing future trends.

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“…Fluid intelligence, for example, is one of the strongest predictors of Web experience [24], [28]. Specifically, older adults who measure high on tests of fluid intelligence engage in more types of Web activities (such as e-mail, games, news information, shopping) than those who measure low on these tests.…”

Section: Cognitive Changesmentioning

confidence: 99%

Technology skill and age: what will be the same 20 years from now?

Hanson

2011

Univ Access Inf Soc

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Is current research on computing by older adults simply looking at a short-term problem? Or will the technology problems that plague the current generation also be problematic for today's tech-savvy younger generations when they become ''old''? This paper considers age-related and experience-related issues that affect ability to use new technology. Without more consideration of the skills of older users, it is likely that applications and devices 20 years from now will have changed such that this ''older'' generation finds themselves confronting an array of technologies that they little understand and find generally inaccessible. Recent evidence suggests that older adults bring specific strengths to Web browsing. A fuller investigation of these strengths and how to design to optimize for strengths of older users has the potential to address the need for usable technology for this increasingly important demographic.

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Variability among older adults in Internet health information-seeking performance

Cited by 63 publications

References 19 publications

Strategy and accuracy during information search on the Web: Effects of age and complexity of the search questions

Strategy and accuracy during information search on the Web: Effects of age and complexity of the search questions

Influencing technology adoption by older adults

Technology skill and age: what will be the same 20 years from now?

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