Missions beyond low Earth orbit will require crews to act with greater autonomy. Increasing communication delays will require crews to take on tasks currently supported by Mission Control, including the involved process of scheduling and rescheduling their own complex spaceflight timelines to fit a variety of restrictions and constraints. Astronauts, unlike Mission Control, are not expert planners, however, and determining simple strategies and heuristics that enable them to schedule successfully can increase the range of problems they can solve successfully. In two human-in-the-loop scheduling experiments, we analyzed 1) common strategies among novice schedules, and 2) the development of self-scheduling heuristics. We find that, even when participants are instructed to follow a given strategy, they rapidly develop their own self-scheduling heuristics as they learn to successfully complete the scheduling task. Participants conducting naturally learn to schedule activities with the most constraints first, while participants vary in heuristics in the rescheduling task.


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    Titel :

    Exploring Self-Scheduling Strategies and Heuristics in Novice Schedulers


    Beteiligte:
    John A. Karasinski (Autor:in) / Megan C. Shyr (Autor:in) / Andrew Torr (Autor:in) / Jessica J. Marquez (Autor:in)

    Kongress:

    AIAA SciTech Forum ; 2023 ; National Harbor, MD, US


    Medientyp :

    Sonstige


    Format :

    Keine Angabe


    Sprache :

    Englisch




    Exploring Self-Scheduling Strategies and Heuristics in Novice Schedulers

    Karasinski, John / Shyr, Megan C. / Torr, Andrew et al. | AIAA | 2023


    Exploring Self-Scheduling Strategies and Heuristics in Novice Schedulers

    Karasinski, John / Shyr, Megan C. / Torr, Andrew et al. | TIBKAT | 2023


    Exploring Self-Scheduling Strategies and Heuristics in Novice Schedulers

    John A. Karasinski / Megan C. Shyr / Andrew Torr et al. | NTRS