Accession Number : ADA442982


Title :   A Human-Automation Interface Model to Guide Automation Design of System Functions: A Way to Achieve Manning Goals in New Systems


Descriptive Note : Master's thesis


Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA


Personal Author(s) : Kennedy, Joshua S


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a442982.pdf


Report Date : Dec 2005


Pagination or Media Count : 130


Abstract : 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 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. Implication 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.


Descriptors :   *AUTOMATION , *INTERFACES , *GROUND VEHICLES , *MANNED , INTEGRATED SYSTEMS , THESES , WORKLOAD , FUNCTIONAL ANALYSIS , HUMAN FACTORS ENGINEERING , ARMY PERSONNEL , PERFORMANCE(HUMAN)


Subject Categories : Surface Transportation and Equipment
      Combat Vehicles


Distribution Statement : APPROVED FOR PUBLIC RELEASE