Literature DB >> 18194048

The Model Human Processor and the older adult: parameter estimation and validation within a mobile phone task.

Tiffany S Jastrzembski1, Neil Charness.   

Abstract

The authors estimate weighted mean values for nine information processing parameters for older adults using the Card, Moran, and Newell (1983) Model Human Processor model. The authors validate a subset of these parameters by modeling two mobile phone tasks using two different phones and comparing model predictions to a sample of younger (N = 20; M-sub(age) = 20) and older (N = 20; M-sub(age) = 69) adults. Older adult models fit keystroke-level performance at the aggregate grain of analysis extremely well (R = 0.99) and produced equivalent fits to previously validated younger adult models. Critical path analyses highlighted points of poor design as a function of cognitive workload, hardware/software design, and user characteristics. The findings demonstrate that estimated older adult information processing parameters are valid for modeling purposes, can help designers understand age-related performance using existing interfaces, and may support the development of age-sensitive technologies.

Entities:  

Mesh:

Year:  2007        PMID: 18194048      PMCID: PMC4591021          DOI: 10.1037/1076-898X.13.4.224

Source DB:  PubMed          Journal:  J Exp Psychol Appl        ISSN: 1076-898X


  111 in total

1.  Experience-based attenuation of age-related differences in music cognition tasks.

Authors:  E J Meinz
Journal:  Psychol Aging       Date:  2000-06

Review 2.  Evaluating the interdependence of aging-related changes in visual and auditory acuity, balance, and cognitive functioning.

Authors:  Scott M Hofer; Stig Berg; Pertti Era
Journal:  Psychol Aging       Date:  2003-06

3.  Distinguishing age differences in knowledge, strategy use, and confidence during strategic skill acquisition.

Authors:  Dayna R Touron; Christopher Hertzog
Journal:  Psychol Aging       Date:  2004-09

4.  Eye fixation scanpaths of younger and older drivers in a hazard perception task.

Authors:  Geoffrey Underwood; Nicola Phelps; Chloe Wright; Editha van Loon; Adam Galpin
Journal:  Ophthalmic Physiol Opt       Date:  2005-07       Impact factor: 3.117

5.  Age-related differences in movement control: adjusting submovement structure to optimize performance.

Authors:  N Walker; D A Philbin; A D Fisk
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  1997-01       Impact factor: 4.077

6.  Facts and fiction about memory aging: a quantitative integration of research findings.

Authors:  P Verhaeghen; A Marcoen; L Goossens
Journal:  J Gerontol       Date:  1993-07

7.  Age-related kinematic differences as influenced by task difficulty, target size, and movement amplitude.

Authors:  Caroline J Ketcham; Rachael D Seidler; Arend W A Van Gemmert; George E Stelmach
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2002-01       Impact factor: 4.077

8.  Current estimates from the National Health Interview Survey, 1995.

Authors:  V Benson; M A Marano
Journal:  Vital Health Stat 10       Date:  1998-10

9.  Aging and skilled problem solving.

Authors:  N Charness
Journal:  J Exp Psychol Gen       Date:  1981-03
View more
  4 in total

1.  Meta-analysis of age and skill effects on recalling chess positions and selecting the best move.

Authors:  Jerad H Moxley; Neil Charness
Journal:  Psychon Bull Rev       Date:  2013-10

Review 2.  Toward a psychological science of advanced technology design for older adults.

Authors:  Wendy A Rogers; Arthur D Fisk
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2010-09-10       Impact factor: 4.077

Review 3.  Improving the safety of aging road users: a mini-review.

Authors:  Walter R Boot; Cary Stothart; Neil Charness
Journal:  Gerontology       Date:  2013-08-28       Impact factor: 5.140

4.  Memory function and supportive technology.

Authors:  Neil Charness; Ryan Best; Dustin Souders
Journal:  Gerontechnology       Date:  2012
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.