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The STEP model: Characterizing simultaneous time effects on practice for flight simulator performance among
Quinn Kennedy1, Joy Taylor1, Art Noda1
1Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine.
Psychology and Aging
|August 18, 2015
Summary
Practice and interval effects influence skill maintenance in older adults. Cognitive factors like processing speed and variability, not just age or expertise, impact training benefits for complex tasks.
Area of Science:
- Cognitive psychology
- Human factors engineering
- Gerontology
Background:
- Skill maintenance in middle-aged and older adults is crucial for real-world task performance.
- Understanding how practice and time intervals affect learning is vital for effective training design.
- Prior training and cognitive abilities can influence learning outcomes.
Purpose of the Study:
- To model the simultaneous effects of practice and interval on performance in simulated flight tasks.
- To examine how age, flight expertise, and cognitive abilities moderate practice and interval effects.
- To investigate the impact of cognitive processing speed and its variability on skill acquisition.
Main Methods:
- Utilized existing practice data from 263 middle-aged and older pilots across 5 simulated flights.
- Developed and applied a new Simultaneous Time Effects on Practice (STEP) model.
- Analyzed the influence of covariates: age, flight expertise, processing speed, and intraindividual variability (IIV).
Main Results:
- Demonstrated significant positive practice effects and negative interval effects on flight performance.
- Age negatively moderated the benefits of practice.
- Cognitive processing speed and IIV moderated practice and interval effects, impacting performance measures.
Conclusions:
- Practice and interval effects are evident in simulated flight tasks for older adults.
- Cognitive processing speed and IIV play a significant role in moderating training effects, even in high-functioning individuals.
- Findings inform the design of targeted training interventions for complex real-world tasks in aging populations.

