Uncrewed aerial systems (UAS) show promise in urban air transport, package delivery, and emergency services. UAS efficiency can be significantly improved by having fewer operators (m) manage a greater number of vehicles (N), or the m:N architecture of operation. The current study investigates how workload affects operators’ task-allocation decision-making and potential effects of two crucial human factors: trust and self-confidence. In the context of a simulated UAS package-delivery task, 10 participants with expertise in UAS operation were recruited. Each participant reported their preferred task-allocation strategy for a set of five subtasks while watching two sets of videos with different workload levels. Perceived workload, trust, and self-confidence were also measured after each video session. Overall, participants indicated a preference for automation for most of the subtasks under the delivery mission. Trust, rather than workload and self-confidence, played a significant role in experts’ decisions of task-allocation and assignment methods. Higher trust led to higher preference for automation.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Operator Workload and Task Allocation in m:N Operational Architectures of Uncrewed Aerial Systems


    Contributors:
    Y. (. Zhang (author) / J. Chen (author) / T. Bautista (author) / N. Lindsay (author) / L. Sun (author) / P. Ghodraty (author) / B. Hu (author) / M. S. Politowicz (author) / E. T. Chancey (author)

    Publication date :

    2024


    Size :

    12 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English





    Operator Workload and Task Allocation in m:N Operational Architectures of Uncrewed Aerial Systems

    Zhang, Yining "Elena" / Chen, Jing / Bautista, Tim et al. | AIAA | 2024


    UNCREWED AERIAL FREIGHTER SYSTEM

    VAN MERKENSTEIJN JAN | European Patent Office | 2020

    Free access

    ERGONOMIC UNCREWED AERIAL VEHICLE

    TURNER STEVEN / GOODSON JOHN / MORONITI DAVID | European Patent Office | 2024

    Free access

    UNCREWED AERIAL FREIGHTER(TM) SYSTEM

    VAN MERKENSTEIJN IV JAN HENRI | European Patent Office | 2019

    Free access