An Evaluation of Performance by Older Persons on a Simulated Telecommuting Task

Czaja, Sara J.; Hernández, Mario Alberto; Yang, Yulong; Perdomo, Dolores; Lewis, John E.; Lee, Chin Chin; Nair, Sankaran N.

doi:10.1093/geronb/59.6.p305

Cited by 44 publications

(30 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Processing speed, memory, attention Sharit, Czaja, Nair, and Lee [54] Interactive telephone voice menu systems Working memory Sharit, Czaja, Hernandez, Yang, Perdomo, Lewis, Lee and Nair [53] Information search and retrieval/e-mail Psychomotor speed, working memory, verbal abilities, attention Pak, Rogers, and Fisk [41] Computer-based information search…”

Section: Overview Of Aging and Cognitionmentioning

confidence: 99%

The impact of aging on access to technology

Czaja

Lee

2006

Univ Access Inf Soc

360

214

View full text Add to dashboard Cite

The number of people over the age of 65 is increasing worldwide with the fastest growing subgroup those aged 80+ years. Computer and information technologies hold promise in terms of increasing the quality of life for older people. However, successful use of technology by older adults is predicated on systems that are designed to accommodate the needs and preferences of this user group. This paper discusses the implications of age-related changes in cognition for system design. Generally, the existing literature shows that, although older adults are willing to use technology, many report usability problems with existing systems and these problems may in part be due to the cognitive and perceptual demands placed on the user. These findings are discussed in terms of guidelines for system design.

show abstract

Section: Overview Of Aging and Cognitionmentioning

confidence: 99%

The impact of aging on access to technology

Czaja

Lee

2006

Univ Access Inf Soc

360

214

View full text Add to dashboard Cite

show abstract

“…In a previous study evaluating an e-mail-based customer service task (Sharit et al, 2004), we found age differences in task performance such that the younger participants (aged 50-65 years) performed better than the older participants (aged 66-80 years). However, the results overall demonstrated performance improvements for both age groups with practice.…”

Section: Nih-pa Author Manuscriptmentioning

confidence: 77%

“…This view is largely consistent with investment theory (Horn & Cattell, 1967), which postulates that higher levels of fluid and crystallized intelligence enable an individual to learn new knowledge and skills. Although researchers originally postulated this theory to explain learning in children, scientists can apply it to situations involving skill acquisition with older adult populations, given that skill acquisition represents a dynamic process between acquired cognitive abilities and the learning of new material.In a previous study evaluating an e-mail-based customer service task (Sharit et al, 2004), we found age differences in task performance such that the younger participants (aged 50-65 years) performed better than the older participants (aged 66-80 years). However, the results overall demonstrated performance improvements for both age groups with practice.…”

mentioning

confidence: 77%

“…We used MLM to examine predictors of individual differences in initial performance (post training) as well as the rate of change in performance over 4 days. Use of an MLM approach expanded our previous findings regarding this task (Sharit et al, 2004), as it enabled us to chart trajectories of change in performance over time and determine individual characteristics related to change. An additional advantage of this approach is that we were able to examine the both within-person and between-person variation in skill acquisition.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

A Multilevel Modeling Approach to Examining Individual Differences in Skill Acquisition for a Computer-Based Task

Nair

Czaja

2007

The Journals of Gerontology: Series B

View full text Add to dashboard Cite

This article explores the role of age, cognitive abilities, prior experience, and knowledge in skill acquisition for a computer-based simulated customer service task. Fifty-two participants aged 50-80 performed the task over 4 consecutive days following training. They also completed a battery that assessed prior computer experience and cognitive abilities. The data indicated that overall quality and efficiency of performance improved with practice. The predictors of initial level of performance and rate of change in performance varied according to the performance parameter assessed. Age and fluid intelligence predicted initial level and rate of improvement in overall quality, whereas crystallized intelligence and age predicted initial e-mail processing time, and crystallized intelligence predicted rate of change in e-mail processing time over days. We discuss the implications of these findings for the design of intervention strategies.The existing literature of aging and cognition indicates that many component cognitive abilities -such as processing speed, working memory, and reasoning-associated with the fluid aspect of intelligence, which generally represents the processing and reasoning aspects of intelligence (Horn & Catell, 1966), show decline with age, especially under conditions of complexity or when a task represents an unfamiliar cognitive domain (e.g., Park, 1999). In contrast, knowledge or what is referred to as crystallized intelligence remains relatively stable or increases throughout the life span at least until about age 70 (Schaie, 1996). There are numerous examples of studies that indicate age differences on measures of component cognitive abilities that reflect the fluid aspects of intelligence and the performance of tasks that draw on these abilities (e.g., Fisk & Rogers, 1991). There are also numerous studies that report age-related differences in skill acquisition. These studies generally indicate that older adults learn new skills more slowly than younger adults and do not reach the same levels of performance (e.g., Charness & Campbell, 1988;Jenkins & Hoyer, 2000;Rogers, Fisk, & Hertzog, 1994;Salthouse, 1994).An important issue is the relevance of these findings to everyday tasks within real world settings. Within this context there is limited information on the influence of individual differences in component cognitive abilities or other factors, such as prior experience or knowledge, on skill acquisition or learning. Most of the research that scientists have conducted on skill acquisition has involved laboratory tasks in controlled environments. Examining factors that impact learning is especially important in today's world, given the ubiquitous use of technology in most settings.Address correspondence to Sara J. Czaja, PhD, Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, 1695 NW 9th Ave., Miami, FL 33136. E-mail: sczaja@med. miami.edu. NIH Public AccessAuthor Manuscript J Gerontol B Psychol Sci Soc Sci. Author manuscript; available...

show abstract

“…Future adaptations of technology and telecommuting hold challenges and potential solutions for remedying some of the sensory and everyday needs of older adults (Patrickson, 2002;Pew & Van Hemel, 2004;Sharit et al, 2004).…”

Section: A Sensory Changesmentioning

confidence: 99%

Academic Press is an imprint of Elsevier

2009

Annual Reports in Medicinal Chemistry

View full text Add to dashboard Cite

show abstract

An Evaluation of Performance by Older Persons on a Simulated Telecommuting Task

Cited by 44 publications

References 23 publications

The impact of aging on access to technology

The impact of aging on access to technology

A Multilevel Modeling Approach to Examining Individual Differences in Skill Acquisition for a Computer-Based Task

Academic Press is an imprint of Elsevier

Contact Info

Product

Resources

About