Hmatové a vizuální navádění joysticku

Abstract

With the growing interest in multisensory navigation systems in aviation, the need to explore its benefits and applications has become more relevant. Mainly because it can contribute to the mitigation of risks associated with pilot workload in flight environments. This thesis explores the performance of visual, haptic, and combined guidance modalities in simulated aviation tasks under varying levels of cognitive load. The key metrics for the study are average error (AE), time to reach target position (TRTP) and the perceived workload. The device used for this experiment is a joystick haptic device, with directional feedback through a motorized sliding element beneath the user’s finger. For the experimental methodology, twelve participants performed navigation tasks using visual, tactile, and combined cues within a flight simulator developed in MATLAB and LabVIEW. Statistical analysis using general linear model repeated measures ANOVA showed that visual guidance consistently outperformed the other modalities, producing faster and more accurate responses with lower workload. Combined guidance offered occasional performance enhancement but increased cognitive demands. Haptic feedback was associated with a higher error and greater perceived workload, especially under cognitive stress. These findings highlight the importance of multisensory interface design and workload management in aviation. This is essential for maintaining safe flight operations. Limitations due to consumer grade hardware and the absence of physiological workload monitoring were acknowledged.

With the growing interest in multisensory navigation systems in aviation, the need to explore its benefits and applications has become more relevant. Mainly because it can contribute to the mitigation of risks associated with pilot workload in flight environments. This thesis explores the performance of visual, haptic, and combined guidance modalities in simulated aviation tasks under varying levels of cognitive load. The key metrics for the study are average error (AE), time to reach target position (TRTP) and the perceived workload. The device used for this experiment is a joystick haptic device, with directional feedback through a motorized sliding element beneath the user’s finger. For the experimental methodology, twelve participants performed navigation tasks using visual, tactile, and combined cues within a flight simulator developed in MATLAB and LabVIEW. Statistical analysis using general linear model repeated measures ANOVA showed that visual guidance consistently outperformed the other modalities, producing faster and more accurate responses with lower workload. Combined guidance offered occasional performance enhancement but increased cognitive demands. Haptic feedback was associated with a higher error and greater perceived workload, especially under cognitive stress. These findings highlight the importance of multisensory interface design and workload management in aviation. This is essential for maintaining safe flight operations. Limitations due to consumer grade hardware and the absence of physiological workload monitoring were acknowledged.