Abstract
Task models can be very informative and provide invaluable guidance to the design of socio-technical artifact intended to provide external cognition and support to decision-making. In the case of developing support for strategic decision-making and complexity discovery, the modeling of task-related dynamic cognition is of prime importance. We report on the application of a method that combines hierarchical task analysis and process tracing – dynamic cognitive task modeling (DCTM) – as a means to inform the design process of a joint cognitive system (JCS) – IMAGE – that seeks to augment complexity discovery capabilities. The DCTM method provides a measure of human-system interaction and dynamic cognition that is empirical, unobtrusive, less sensitive to biases and well suited for the particularly challenging context of complexity discovery.
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