Identification of human-interaction touch points for intelligence analysis information fusion systems

This paper presents recommended human-interaction touch points for a data fusion system designed to support intelligence analysis. Touch points were identified to allow analysts to best leverage the fusion system by mapping potential system capabilities to situations where factors that contribute to analysis task complexity are likely to be present. While further effort is required to refine capabilities mappings and to define specifics of the touch points, focusing on these interactions is expected to facilitate the appropriate calibration of analyst perceptions towards the system's true capabilities leading to appropriate reliance and in turn successful integration into analyst workflows.