On the International Space Station today, the crew has the near real-time support of a large group of system experts on the ground when dealing with problems on-board. For exploration beyond Low Earth Orbit, however, intermittent and delayed communication with ground will force small crews to take the lead in responding to vehicle anomalies. Enabling a flight crew of roughly four astronauts to perform the job that has traditionally been done by a ground crew of over 80 experts will require a fundamental rethinking of human-systems integration. Through observations of anomaly resolution processes, interviews with system experts and astronauts, and analyses of problem-solving models, we have identified the capabilities that are not currently available on-board but will be needed to enable safe exploration further away from Earth. These include increased data access, just-in-time training tools and technologies, and troubleshooting decision support. Important questions remain on how these technologies can be designed and implemented for increased crew autonomy. We present this critical challenge for deep space exploration to the human-computer interaction research community to reflect on the areas identified by our needs analysis and contemplate how they might be manifested as solutions.


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    Titel :

    Extreme Problem Solving: The New Challenges of Deep Space Exploration


    Beteiligte:
    Kaitlin Mctigue (Autor:in) / Megan Parisi (Autor:in) / Tina Panontin (Autor:in) / Shu-chieh Wu (Autor:in) / Alonso Humberto Vera (Autor:in)

    Kongress:

    SpaceCHI: Human-Computer Interaction for Space Exploration ; 2021 ; Virtual, US


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch




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