Task Progress:
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The project has successfully completed both of the project Aims. Here we review the progress made over the duration of the two-year project and provide a brief summary of the results of the human-in-the-loop study.
Our initial efforts focused on developing a prototype electronic procedure system with new automated capabilities and integrating this capapbility into our robotic workstation simulator. First, informed by actual robotic arm procedures conducted on the International Space Station, we defined and developed a set of robotic task scenarios that includes system setup, support of a series of simulated spacewalk activities, and system shutdown. Within these scenarios, the possibility for a variety of failures and associated failure recovery steps were designed and built into the simulation so that we can test responses to non-normal situations. We used tools including Hierarchical Task Analysis (HTA) and Object-Process Methodology (OPM) to break down each task goal into its components and necessary actions and to define system states throughout the flow of the simulated robotic arm operation.
Secondly, we used the HTA and OPM analyses to design the computer code that creates the simulated integrated control panel and procedure checklist system. In doing so, we created a new type of human-machine electronic procedure interface that integrates automation and system information into an electronic display. By integrating a functional electronic control panel, procedure, and checklist into our simulator, we created a system that presents information equivalent to two separate systems and laptops that are currently used on the International Space Station during robotic operations. This, in turn, reduces the required number of displays and equipment, an important feature for future space missions that will have strict mass and power constraints.
Following the development of our prototype automated electronic procedure system, we completed a human-in-the-loop experiment to investigate how the allocation of procedural step execution between the human operator and automation, or level of automation, would affect task performance, situation awareness, and mental workload. The key independent variable in our experiment was the level of automation used during task completion. The simulator was capable of allocating the automation to perform all or a subset of the procedural steps including state selection, identification verification, and confirmation. Three levels of automation were tested--Full Auto, Full Manual, and Auto Set/ Manual Verify. If the automation was tasked with doing all of the procedure steps, then the system is in Full Auto mode in which we expected low subject mental workload and high performance but also low situation awareness. In Full Manual mode, all steps were allocated to the human operator, and we expected high situation awareness but also high workload and possibly lower task performance. In the intermediate automation allocation, Auto Set/ Manual Verify, the automation was tasked with setting the states while the human operator verified the state change. In this intermediate automation level, we expected high task performance and situation awareness, and intermediate workload.
Our results are largely consistent with our initial hypotheses, that Full Automation mode results in faster task completion times with practically no errors and low subject mental workload, measured objectively with a visual secondary task and subjectively using the NASA Task Load Index (NASA-TLX). The reduction in completion time comes primarily from the automatic selection of cameras and entry of arm parameters for Space Station Remote Manipulator System (SSRMS) movement performed by the automation, rather than manually. The elimination of manual control tasks reduces the visual demands of the task and frees attentional resources for monitoring system state and task progress. This behavior was observed in the improvement of the operator’s ability to detect system events and states in the Full Manual condition. However, the use of automation also degraded the operator’s ability to comprehend of current system state and predict future states compared to Full Manual mode. The intermediate automation mode, Auto Set/Manual Verify, was generally preferred by the subjects as the best compromise to speed up task completion while maintain their situation awareness of the task and also resulted in the best overall performance across time, workload, and awareness. We believe that the findings of this research will be beneficial in the design and use of future automatable systems to be used in long duration, limited resource, and time-delayed spaceflight missions.
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Abstracts for Journals and Proceedings
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Yang YE, Liu A, Dori D, Galvan-Garza R, Oman C. "Task Analysis and Interface Design Using Object-Oriented Methodology." Presented at 88th Aerospace Medical Association Annual Meeting, Denver, CO, April 30-May 4, 2017. Aerospace Medicine and Human Performance. 2017 Mar;88:234. , Mar-2017
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Abstracts for Journals and Proceedings
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Liu A, Galvan-Garza R, Yang YK, Oman CM. "Design and Automation of Electronic Checklists for Robotic Operations." Presented at the 22018 NASA Human Research Program Investigators’ Workshop, Galveston, TX, January 22-25, 2018. 2018 NASA Human Research Program Investigators’ Workshop, Galveston, TX, January 22-25, 2018. , Jan-2018
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Abstracts for Journals and Proceedings
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Liu AM, Galvan-Garza R, Yang YK, Oman CM. "Design and Automation of Electronic Checklists for Robotic Operations." 2017 NASA Human Research Program Investigators’ Workshop, Galveston, TX, January 23-26, 2017. 2017 NASA Human Research Program Investigators’ Workshop, Galveston, TX, January 23-26, 2017. , Jan-2017
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Dissertations and Theses
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Yang YE. (Yongkai Eugene Yang) "Using Object Process Methodology to Develop Interfaces and Smart Electronic Procedures for Simulated Telerobotic Operations." MS Thesis, Massachusetts Institute of Technology, Cambridge, MA, February 2017. , Feb-2017
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