Modeling and analysis of a dynamic judgment task using a lens model approach

In this research, we investigated performance in a complex, dynamic decisio n-making task, Individual judgment performance in a command and control env ironment was modeled as linear combinations of environmental cue values usi ng a Lens Model approach, Examination of the judgment models indicated that participants had similar judgment policies, while correlational and error analyzes indicated that performance differences were due to participants' a bilities to execute judgment strategies rather than their knowledge of the task environment. This research demonstrated how the Lens Model approach ca n be extended to account for dynamic aspects of decision making in complex environments, through the use of individual, time dependent environmental m odels for each participant. Additionally, the research showed that a Lens M odel approach is useful for characterizing factors in individual performanc e in complex judgment tasks. Empirically, this research suggests that train ing on task knowledge should be supplemented by training which focuses on t he consistent execution of judgment strategies.