MVL Seminar: Inderraj Singh Grewal (3/29, 9a, 33-218)

March 24, 2017

Just In Time Training of Telerobotic Operations in Long Duration Spaceflight

Inderraj Singh Grewal,  Dept. AeroAstro. MVL  Graduate Student

Abstract
As the prospects of a Mars mission become more realistic, astronauts will begin preparing for interplanetary travel, with duration on the order of months. Real time communication will be untenable, and performance degradation will occur. Astronauts will be expected to do time-critical tasks for which they may not have received prior training.
The short time horizon means that astronauts will receive Just-In-Time training (JITT); the task will be trained immediately prior to execution.  Here, we investigate how onboard JITT can be delivered in order to achieve accurate task completion for a complex telerobotics task in an expedited manner.  All telerobotics tasks are comprised of the same generic skill set, such that even a novel task represents a reconstitution of existing skills. Further, any given task has component sub-tasks in which a subject’s competency ranges from poor to proficient.  Thus, JITT can be customized by allocating the training resources more heavily to the non-proficient sub-tasks, and less so to the proficient sub-tasks.
It is speculated that the provision of customized JITT will enable subjects to perform a given task more quickly than their (non-customized training) counterparts, with no compromise on the task accuracy. Furthermore, it is speculated that the customization of JITT will reduce subjects’ workload, as they will not spend extraneous attentional resources perusing detailed procedural lists for sub-tasks in which they already demonstrate excellence.
This study decouples the mechanism of customization from the contents of the procedures, such that results are expected to be transferable to any range of complex tasks. As long as the procedures can be deconstructed into sub-task chunks of existing skills, the results should be transferable. In particular, this experiment will be used to inform NASA on paths forward for training protocols for long-duration spaceflight crews.