Document Type

Article

Publication Date

2025

Abstract

Aviation technical operations require precision, problem-solving, and situationalawareness in high-pressure environments. As these tasks become more complex, trainingsolutions must evolve to meet the growing demands placed on aviation technicians. Thisresearch investigates the application of extended reality (XR) training systems in aviationtechnical operations, focusing on how these systems can be designed to leverage humanaptitudes for improved performance and learning outcomes. Through an interdisciplinaryapproach combining human factors research, cognitive science, and XR technology, thisstudy examines the relationship between individual cognitive, perceptual, and motorabilities and their impact on training effectiveness. The research identifies key humanaptitudes—such as spatial reasoning, task-switching abilities, and visual perception—thatinfluence how technicians interact with XR-based training tools in performingmaintenance and diagnostic tasks. Topics will cover how XR training systems may beenhanced by tailoring content and interactions to match the cognitive profiles andaptitudes of individual users. This study is a comprehensive review of design solutionssuch as adaptive task difficulty, personalized feedback, and real-time guidance throughXR interfaces that may optimize human performance by reducing cognitive overload,improving retention, and increasing task accuracy. Potential design recommendations forXR training systems that align with these human aptitudes will be discussed, proposing ashift toward user-centered training tools that not only improve technical competency butalso adapt to the strengths and limitations of each individual learner. These solutions arecrucial for advancing aviation safety and efficiency in a field where human performanceremains a critical factor.

Comments

Presented at the 23rd International Symposium on Aviation Psychology, May 27-30, 2025, Hosted by Oregon State University

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