Abstract
Typically, user tests for software tools are conducted in person. At NASA, the users may be located at the bottom of the ocean in a pressurized habitat, above the atmosphere in the International Space Station, or in an isolated capsule on a simulated asteroid mission. The Playbook Data Analysis Tool (P-DAT) is a human-computer interaction (HCI) evaluation tool that the NASA Ames HCI Group has developed to record user interactions with Playbook, the group’s existing planning-and-execution software application. Once the remotely collected user interaction data makes its way back to Earth, researchers can use P-DAT for in-depth analysis. Since a critical component of the Playbook project is to understand how to develop more intuitive software tools for astronauts to plan in space, P-DAT helps guide us in the development of additional easy-to-use features for Playbook, informing the design of future crew autonomy tools.
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References
Marquez, J.J., Pyrzak, G., Hashemi, S., McMillin, K., Medwid, J., et al.: Supporting real-time operations and execution through timeline and scheduling aids. In: 43rd International Conference on Environmental Systems, Vail Colorado (2013)
Hashemi, S., Hillenius, S.: @NASA: The User Experience of a Space Station. Speech at SXSW Interactive, Austin, Texas (2013)
Marquez, J.J., Hillenius, S., Deliz, I., Kanefsky, B., Zheng, J., Reagan, M.: Increasing crew autonomy for long duration exploration missions: self-scheduling. In: IEEE Aerospace Conference, Big Sky, Montana (2017)
Martin, B., Hanington, B.M.: Universal methods of design: 100 ways to research complex problems, develop innovative ideas, and design effective solutions. Rockport, Beverly (2012)
Acknowledgments
This work is funded by the NASA Human Research Program as a Directed Research Project within Human Factors and Behavioral Performance.
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Kanefsky, B., Zheng, J., Deliz, I., Marquez, J.J., Hillenius, S. (2018). Playbook Data Analysis Tool: Collecting Interaction Data from Extremely Remote Users. In: Ahram, T., Falcão, C. (eds) Advances in Usability and User Experience. AHFE 2017. Advances in Intelligent Systems and Computing, vol 607. Springer, Cham. https://doi.org/10.1007/978-3-319-60492-3_29
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DOI: https://doi.org/10.1007/978-3-319-60492-3_29
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