ABSTRACT
Lahneman et al. (2006) suggested that the intelligence community (IC) will soon “… experience an imbalance between the demand for effective overall intelligence analysis and the outputs of the individually oriented elements and outlooks of its various analytic communities.” The IC is producing analysts tailored to engage
Introduction ..............................................................................................................23 Training Intelligence Operations .........................................................................24
Neurotechnology for Measurement, Diagnosis, and Mediation of Foraging Skills ...................................................................................................... 26 Neurotechnology for Measurement, Diagnosis, and Mediation of Sense-Making Skills ................................................................................................27 Case Study: Neurotechnology Support of Foraging during Image Analysis ...........29 Conclusions .............................................................................................................. 31 Acknowledgments .................................................................................................... 31 Disclaimer ................................................................................................................ 31 References ................................................................................................................ 31
specic, focused missions. There is a need to train analysts to perform in a exible manner that is conducive to supporting both kinetic-especially asymmetricwarfare and nonkinetic operations. This need can be supported with current training technologies that enable trainees “… to practice intelligence functions at all levels of war, from unconventional, low-intensity, tactical engagements to conventional, highintensity, force-on-force conicts” (George and Ehlers 2008). Advances in modeling and simulation can now integrate realistic, dynamic, and unpredictable virtual training environments with real-world mission data (e.g., unmanned aerial system feeds and satellite-orbit displays) and substantially improve intelligence training. While these simulated environments deliver realistic training opportunities, we posit that, to maximize learning, senior analysts and trainees must be equipped with tools that both enable the measurement of learning outcomes and the evaluation of training effectiveness. Thus, an unmet challenge is how to best measure, diagnose, and mediate intelligence operations training exercises so as to ensure that learning is maximized. To address this need, neurotechnology could be used for such assessment. Specically, neurotechnology could be employed in both the bottom-up and top-down processing cycles of information analysis.
