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_age = 20) and older (N = 20; M_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.
%0 Journal Article
%1 Jastrzembski2007
%A Jastrzembski, Tiffany S.
%A Charness, Neil
%D 2007
%J Journal of Experimental Psychology
%K GOMS olderAdults
%N 4
%P 224–248
%T The Model Human Processor and the older adult: Parameter estimation and validation within a mobile phone task.
%V 13
%X 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_age = 20) and older (N = 20; M_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.
@article{Jastrzembski2007,
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_age = 20) and older (N = 20; M_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.},
added-at = {2011-09-09T22:49:13.000+0200},
author = {Jastrzembski, Tiffany S. and Charness, Neil},
biburl = {https://www.bibsonomy.org/bibtex/22422ce37af6f13a70b08c6f9c1b6deff/naegle},
interhash = {e15ddb1fc0d757546caa32684036c998},
intrahash = {2422ce37af6f13a70b08c6f9c1b6deff},
journal = {Journal of Experimental Psychology},
keywords = {GOMS olderAdults},
number = 4,
pages = {224–248},
timestamp = {2011-10-14T13:28:36.000+0200},
title = {The Model Human Processor and the older adult: Parameter estimation and validation within a mobile phone task.},
volume = 13,
year = 2007
}