Tiffany S. Jastrzembski

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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)(More)
In the field of cognitive science, the primary means of judging a model's viability is made on the basis of goodness-of-fit between model and human empirical data. Recent developments in model comparison reveal, however, that other criteria should be considered in evaluating the quality of a model. These criteria include model complexity, generalizability,(More)
Human performance modeling promises to be a valuable tool for early evaluation of user interface designs, predicting different performance for different design alternatives and, recently, different performance on a single design between younger and older adults (Jastrzembski & Charness, 2007; Jastrzembski, et al., 2010). When using modeling in the(More)
The Office of Graduate Studies has verified and approved the above named committee members. iii Dedicated to my loving family, Paul, Lynne, and Amber, in honor of their unrelenting faith in me. And to my Sweetest, Chris, for his endless encouragement and inspiration. iv ACKNOWLEDGEMENTS I would like to extend heartfelt gratitude to my mentor and adviser,(More)
Novice, intermediate, and expert chess players of various ages, playing with two chess pieces on a quarter-section of a chessboard, performed a simple task to detect that the king is in check or is threatened with being in check. Age slowed response for both tasks. An interaction of task and skill revealed differences in diminishing response time between(More)
The Predictive Performance Equation (PPE) is a mathematical model of learning and forgetting developed to capture performance effectiveness across training histories, and to generate precise, quantitative point predictions of performance by extrapolating the unique mathematical regularities indicative of the learner. This equation is implemented in the(More)
The overarching goal of our research is to translate basic cognitive science into an applied, state-of-the-art " cognitive tool " (Lajoie & Derry, 1993)-which we have termed the Predictive Performance Optimizer (PPO) – to provide teachers, trainers, and learners of all types with a new generation of adaptive training assistance that dynamically assesses(More)
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