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Greg Jamieson

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Publications by Greg Jamieson (bibliography)

2011

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Stahl, Patrick, Donmez, Birsen and Jamieson, Greg (2011): A Field Study of Haul Truck Operations in Open Pit Mines. In: Proceedings of the Human Factors and Ergonomics Society 55th Annual Meeting 2011. pp. 1845-1849.

“This paper presents findings from a field study of the operation of haul trucks in two open pit gold mines. Qualitative results relevant to the haul truck operator's work environment are presented, and the human factors challenges of the work are identified. Three specific issues that stood out from the study are discussed in detail. First, fatigue is identified as a major contributing factor to crashes and overall performance in open pit traffic, heightened by the specific work characteristics of a haul truck operator. Second, negative transfer is discussed as it interferes with the adaptation from one truck type to another: a consequence of inconsistent controls across different truck brands. Third, the under utilization of and the general posture of suspicion towards the dispatch system are reported, with a list of potential reasons related to automation characteristics.”

2008

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Torenvliet, Gerard, Jamieson, Greg and Chow, Renee (2008): Object worlds in work-domain analysis: A model of naval damage control. In IEEE Transactions on Systems, Man, and Cybernetics, 38 (5) pp. 1030-1040.

1995

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Jamieson, Greg, Moray, Neville and Conant, Roger (1995): Experimental Studies of the Lattice Theory Formalism of Mental Models. In: Proceedings of the Human Factors and Ergonomics Society 39th Annual Meeting 1995. p. 962.

“Complex systems are comprised of numerous displays and controls associated with interconnected dynamic state variables. Limitations in human information processing rates and the fallibility of working memory make it impossible for operators to account for and interact with all of these variables simultaneously. Many engineering psychologists have suggested that, in order to effectively control a complex system, an operator must have a Mental Model of the system. Despite prolific use of the term however, there is little empirical evidence to support the existence of Mental Models. Moray has suggested lattice theory as a comprehensive formalism of the structure of Mental Models. Lattice theory is particularly suited for depicting the interrelationships of components and subsystems that comprise complex systems. The number of elements in a lattice can be reduced through a homomorphic (many-to-fewer) mapping. The resulting lattice is simpler (contains less information) but is still a complete description of the system. Moray suggests Mental Models are hierarchically organized lattices of homomorphic mappings of the properties of a system in the world into the mind. He claims that if operators are indeed using Mental Models in this form, they are expected to attend to a limited set of variables that give sufficient (if partial) knowledge of the system. By observing which aspects of the system an operator attends to, an experimenter should be able to identify the structure of the Mental Model. An empirical study of the lattice theory formalism of mental models is discussed. The Conant Method of subsystem decomposition demonstrates a quantitative means of identifying the subset of system elements which provide the most information about a system component in question. The results suggest that a complex system can indeed be reduced to a manageable number of crucial system variables which could comprise a lattice in a Mental Model.”

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