Examining age differences in performance of a complex information search and retrieval task.

Czaja, Sara J.; Sharit, Joseph; Ownby, Raymond L.; Roth, David L.; Nair, Sankaran N.

doi:10.1037/0882-7974.16.4.564

Cited by 142 publications

(96 citation statements)

References 30 publications

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“…However, older adults are often less successful than their younger counterparts in using technology (e.g., Charness, Schumann, & Boritz, 1992;Czaja et al, 2006;Czaja, Sharit, Ownby, Roth, & Nair, 2001;Kelley & Charness, 1995). This may be due, at least in part, to age-related changes in cognitive abilities that are required by current systems for successful task performance.…”

Section: Discussionmentioning

confidence: 99%

The role of spatial abilities and age in performance in an auditory computer navigation task

Pak

Czaja

Rogers

et al. 2008

Computers in Human Behavior

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Age-related differences in spatial ability have been suggested as a mediator of age-related differences in computer-based task performance. However, the vast majority of tasks studied have primarily used a visual display (e.g., graphical user interfaces). In the current study, the relationship between spatial ability and performance in a non-visual computer-based navigation task was examined in a sample of 196 participants ranging in age from 18 to 91. Participants called into a simulated interactive voice response system and carried out a variety of transactions. They also completed measures of attention, working memory, and spatial abilities. The results showed that age-related differences in spatial ability predicted a significant amount of variance in performance in the non-visual computer task, even after controlling for other abilities. Understanding the abilities that influence performance with technology may provide insight into the source of age-related performance differences in the successful use of technology. Keywordsinteractive voice response systems; aging; cognitive abilities; interface In light of evidence that cognitive abilities play an important role in the performance of everyday activities (e.g., Diehl, Willis, & Schaie, 1995), researchers have attempted to identify and measure the influence of cognitive abilities on a wide variety of activities (e.g., Czaja et al., 2006;Kelley & Charness, 1995;Sharit, Czaja, Nair, & Lee, 2003). One such ability, spatial ability, has been shown to be predictive of performance on a wide variety of everyday tasks such as way finding, map reading and computer tasks such as text-editing, spreadsheet usage, map-and computer-based information search tasks, even when other more general ability factors are controlled (for a review, see Pak, Rogers, & Fisk, 2006). Spatial ability is generally defined as the ability to perceive and transform visual patterns (Ekstrom, French, Harman, & Dermen, 1976). In studies examining spatial ability and computer-based information search, measures of spatial ability (e.g., paper folding, cube comparison) show significant relationships © 2008 Elsevier Ltd. All rights reserved.Corresponding author: Richard Pak, richpak@clemson.edu, tel: (864) 656-1584, fax: (864) 656-0358. Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. NIH Public Access NIH-PA Author ManuscriptNIH-PA Author Manuscript NIH-PA Author Manuscript with measures such as task completion time and error rates. However, a question that arises is whether the relationship between spatial ability and computer-based task performan...

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Section: Discussionmentioning

confidence: 99%

The role of spatial abilities and age in performance in an auditory computer navigation task

Pak

Czaja

Rogers

et al. 2008

Computers in Human Behavior

Self Cite

View full text Add to dashboard Cite

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“…Older adults may also hold some advantages over their younger counterparts in relation to technology, due to larger, more expansive vocabularies [72,73]. For example, in a study of 45 adults 60 years old and older compared to 72 young and middle-aged adults, older adults were found to perform as well as the younger cohorts and, in some cases, better on certain web-based tasks, such as search and retrieval [78], which rely on vocabulary.…”

Section: Personal Factorsmentioning

confidence: 99%

Older adults and mobile technology: Factors that enhance and inhibit utilization in the context of behavioral health

Kuerbis¹,

Mulliken²,

Muench³

et al. 2017

Ment Health Addict Res

150

120

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While numbers and proportions of older adults with behavioral health issues are expected to substantially increase, there is also a widening gap in available services for older adults. Mobile health interventions (mhealth) are a way to address existing barriers to treatment, provide frontline assessment and increase access to services for older adults. Due to perpetuated stereotypes, many assume that older adults do not utilize mobile technology nor will they accept a mHealth intervention. The purpose of this paper is to synthesize contemporary literature from information technology and healthcare regarding: (1) current mobile technology utilization by older adults, particularly in regards to health; (2) factors affecting older adult motivation to engage with mobile technology; and (3) older adult preferences for interacting with mobile technology. Findings reveal that significant proportions of older adults: already utilize mobile technology; are willing to engage in existing mobile interventions for health reasons; and have positive attitudes overall towards mobile technology. Finally, recommendations for optimizing mobile interventions to better suit older adults with behavioral health problems are reviewed.

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“…One reason may be that older adults experience problems when using technology (5,15). Other factors influencing the use of information and communication technology (ICT) and other kinds of new technology are age (12,14), education, income, and experiences and attitudes towards technology (4,7).…”

Section: Introductionmentioning

confidence: 99%

Psychometric evaluation of a new assessment of the ability to manage technology in everyday life

Malinowsky

Nygård

Kottorp

2009

Scandinavian Journal of Occupational Therapy

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Title: Psychometric evaluation of a new assessment of the ability to manage technology in everyday life. AbstractTechnology increasingly influences the everyday lives of most people, and the ability to manage technology can be seen as a prerequisite for participation in everyday occupations.However, knowledge about ability and skills required for management of technology is sparse. This study aimed to validate a new observation-based assessment, the Management of Everyday Technology Assessment (META). The META is developed to assess the ability to manage technology in everyday life. A sample of 116 older adults with and without cognitive impairment were observed and interviewed by the use of the META when managing their everyday technology at home. The results indicate that the META demonstrates acceptable person response validity and technology goodness-of-fit. Additionally, the META can separate individuals with higher ability from individuals with lower ability to manage everyday technology. The META can be seen as a complement to existing ADL assessment techniques and is planned to be used both in research and practice.

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Examining age differences in performance of a complex information search and retrieval task.

Cited by 142 publications

References 30 publications

The role of spatial abilities and age in performance in an auditory computer navigation task

The role of spatial abilities and age in performance in an auditory computer navigation task

Older adults and mobile technology: Factors that enhance and inhibit utilization in the context of behavioral health

Psychometric evaluation of a new assessment of the ability to manage technology in everyday life

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