Approved for public release; distribution is unlimited. iv REPORT DOCUMENTATION PAGEForm Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. REPORT DATE (DD-MM-YYYY)June 2006 ARL-RP-0125 SPONSOR/MONITOR'S ACRONYM(S) 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) SPONSOR/MONITOR'S REPORT NUMBERS DISTRIBUTION/AVAILABILITY STATEMENTApproved for public release; distribution is unlimited. SUPPLEMENTARY NOTESThe views expressed in this thesis are those of the author and do not reflect the official policy or position of the Department of Defense or the U.S. Government. ABSTRACTA major component of the US Army's Future Combat Systems (FCS) will be a fleet of eight different manned ground vehicles (MGV). There are promises that 'advanced automation' will take on many of the tasks formerly performed by soldiers in legacy vehicle systems. However, the current approach to automation design does not relieve the soldier-operator of tasks; rather, it changes the role of the soldiers and the work they must do, often in ways unintended and unanticipated. This thesis proposes a coherent, top-down, overarching approach to the design of a human-automation interaction model. First, a qualitative model is proposed to drive the functional architecture and human-automation interface scheme on the MGV fleet. Second, proposed model is applied to a portion of the functional flow of the common crew station on the MGV fleet. Finally, the proposed model is demonstrated quantitatively via a computational task-network modeling program. The modeling approach offers insights into the impacts on human task-loading, workload, and human performance. Implications for other domains in human systems integration are discussed. The proposed model gives engineers and scientists a top-down approach to explicitly define and design the interactions between proposed automation schemes and the human crew. SUBJECT TERMShuman-automation interface, function analysis, IMPRINT, workload, human-automation interaction, man-machine interface, Future Combat System, Manned Ground Vehicles, human factors, human systems integration, HSI, MANPRINT, IMPRINT, workload. 256-842-7937Standard Form 298 (Rev. 8/98) Prescribe...
Progressively declining budgets compel the U. S. Army to utilize Data Driven Fleet Management (DDFM) technology to cut the cost of readiness and sustainment. DDFM is the application and integration of appropriate processes, technologies, and knowledge based capabilities to improve the reliability and maintenance effectiveness of Army Aircraft Systems and components. Uses a systems engineering approach to collect data, enable analysis, and support the decision-making processes system acquisition, sustainment, and operations. As part of an effort to mitigate rising costs, the Department of Defense has invested in the development of Digital Source Collectors as an onboard aircraft data recording system used to collect data. As a result, Army Aviation has installed thousands of DSCs. As part of its DDFM initiative, DSCs support actionable information and has enabled Army Aviation's airworthiness authority to remediate certain time-based maintenance practices. This enables substantial cost avoidance, eases the Warfighter's maintenance burden, and thereby promotes greater fleetwide emphasis on the performance of higher overall quality maintenance. Army Aviation does this to support mission readiness. Algorithms provide vibration based diagnostics capability, enabling rotor track and balance, or rotor smoothing, to reduce rotor vibrations. Rotor smoothing minimizes loads on life-limited dynamic components in the rotor system. It improves aircrew human factors, reduces vibration in non-rotor system components, and supports the reduction of vibration induced failures. The algorithms automate condition monitoring, reducing time-based visual inspection requirements and component replacements that can result from human error within austere environments under the extreme pressures of combat. Data analysis shows that the technology supports fleetwide mitigation of cost and maintenance burden; where sustainment constitutes up to 70% of ownership costs. Time extensions enabled through proper DSC utilization result in significant cost avoidance benefits. This increases time on and wing, thereby reducing the frequency and magnitude of costly component replacement. The Army Aviation and Missile Command Logistics Center produced the Post Implementation Assessment methodology featured in this paper as a repeatable procedure to measure, capture, and communicate how DDFM supports efficiency.
Approved for public release; distribution unlimited. Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. ii REPORT DOCUMENTATION PAGE
A major component of the US Army's Future Combat Systems (FCS) will be a fleet of eight different manned ground vehicles (MGV). There are promises that ''advanced automation'' will accomplish many of the tasks formerly performed by soldiers in legacy vehicle systems. However, the current approach to automation design does not relieve the soldier operator of tasks; rather, it changes the role of the soldiers and the work they must do, often in ways unintended and unanticipated. This paper proposes a coherent, top-down, overarching approach to the design of a human-automation interaction model. First, a qualitative model is proposed to drive the functional architecture and human-automation interface scheme for the MGV fleet. Second, the proposed model is applied to a portion of the functional flow of the common crew station on the MGV fleet. Finally, the proposed model is demonstrated quantitatively via a computational task-network modeling program (Improved Performance Research and Integration Tool). The modeling approach offers insights into the impacts on human task-loading, workload, and human performance. Implications for human systems integration domains are discussed, including Manpower and Personnel, Human Factors Engineering, Training, System Safety, and Soldier Survivability. The proposed model gives engineers and scientists a top-down approach to explicitly define and design the interactions between proposed automation schemes and the human crew. Although this paper focuses on the Army's FCS MGV fleet, the model and analytical processes proposed, or similar approaches, are appropriate for many manned systems in multiple domains (aviation, space, maritime, ground transportation, manufacturing, etc.).
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