AHFE Open AccessLatency, Sensitivity & Optimizing Workload in Drone Control: Neuroergonomic and Neurodiverse Insights for Equitable, Therapeutic, and Inclusive Action
Abstract
As small Unmanned Aerial Systems (sUAS) become vital beyond industries into therapeutic contexts, understanding how control interface parameters, like latency and joystick sensitivity. affect neurodiverse users is critical. Unoptimized interfaces can exacerbate stress, cognitive overload, and social alienation among individuals with ADHD, Autism, or Dyslexia. This study examines how varying latency and sensitivity influence cognitive workload, task performance, and psychological outcomes, integrating neurophysiological and behavioural data to inform inclusive sUAS design. Using real-time EEG to measure theta, alpha, and beta brainwave activity, results reveal that low latency and medium sensitivity yield optimal performance for neurotypical users, while neurodiverse individuals exhibit unique workload thresholds. Findings emphasize the importance of EEG-driven adaptive interfaces to mitigate cognitive strain and personalize control configurations. This neuroergonomic framework advances equitable, cognitively sustainable drone systems, promoting therapeutic potential, enhanced accessibility, and safer human–machine interaction for neurodiverse populations.
Keywords: Neuroergonomics, Cognitive Workload, EEG, Latency, Sensitivity, sUAS, Neurodiversity, Inclusive Design, Human–Machine Interaction
DOI: 10.54941/ahfe1007103
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