Abstract
Intelligence analysts are bombarded with enormous volumes of imagery, which they must visually filter through to identify relevant areas of interest. Interpretation of such data is subject to error due to (1) large data volumes, implying the need for faster and more effective processing, and (2) misinterpretation, implying the need for enhanced analyst/system effectiveness. This paper outlines the Revolutionary Accelerated Processing Image Detection (RAPID) System, designed to significantly improve data throughput and interpretation by incorporating advancing neurophysiological technology to monitor processes associated with detection and identification of relevant target stimuli in a non-invasive and temporally precise manner. Specifically, this work includes the development of innovative electroencephalographic (EEG) and eye tracking technologies to detect and flag areas of interest, potentially without an analyst’s conscious intervention or motor responses, while detecting and mitigating problems with tacit knowledge, such as anchoring bias in real-time to reduce the possibility of human error.
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References
WMD Commission: The Commission on the Intelligence Capabilities of the United States Regarding Weapons of Mass Destruction. March 31, 2005, US Government (2005)
Ritter, W., et al.: Manipulation of event-related potential manifestations of information processing stages. Science 218, 909–911 (1982)
Ritter, W., Simson, R, Vaughan, H.G.: Event-related potential correlates of two stages of information processing in physical and semantic discrimination tasks. Psychophysiology 20, 168–179 (1983)
Ritter, W., Simson, R., Vaughan, H.G.: Effects of the amount of stimulus information processed on negative event-related potentials. Electroencephalography and Clinical Neurophysiology 69, 244–258 (1988)
Chapman, G.B., Johnson, E.J.: Anchoring, activation, and the construction of values. Organizational Behavior and Human Decision Processes 79(2), 115–153 (1999)
Heuer, J.J.R.: Psychology of Intelligence Analysis. Center for the Study of Intelligence Central Intelligence Agency (1999), http://hub.n00bstories.com/csi/books/19104/index.html
Meyer, M.A., Booker, J.M., Bradshaw, J.M.: A flexible six-step program for defining and handling bias in knowledge elicitation (1990), http://pages.cpsc.ucalgary.ca/~gaines/BooseBradshaw/EKAW90Draft.doc
Fabre-Thorpe, M., et al.: A Limit to the Speed of Processing in Ultra-Rapid Visual Categorization of Novel Natural Scenes. Journal of Cognitive Neuroscience 13, 171–180 (2001)
Hopf, J.-M., et al.: Localizing visual discrimination processes in time and space. The. American Physiological Society 88, 2088–2095 (2002)
Eimer, M.: Does the face-specific N170 component reflect the activity of a specialized eye processor? Neuroreport 9, 2945–2948 (1998)
Thorpe, S., Fize, D., Marlot, C.: Speed of Processing in the Human Visual System. Nature 381, 520–522 (1996)
Bentin, S., et al.: Electrophysiological studies of face perception in humans. Journal of Cognitive Neuroscience 8, 551–565 (1996)
Vogel, E.K., Luck, S.J.: The visual NI component as an index of a discrimination process. Psychophysiology 37 (2000)
Yamaguchi, S., Yamagata, S., Kobayashi, S.: Cerebral asymmetry of the top-down allocation of attention to global and local features. The Journal of Neuroscience, 20, RC72 1 of 5 (2000), http://www.ling.uni-potsdam.de/saddy/web%20papers/Yamaguchi%20assymetry%20and%20attention.pdf
Sun, Y., Wang, H., Yang, Y., Zhang, J., Smith, J.W.: Probabilistic judgment by a coarser scale: behavioral and ERP evidence (Viewed December 5, 2005) (1994), available online at: http://www.cogsci.northwestern.edu/cogsci2004/papers/paper187.pdf
Tobii Technology. (Viewed January 4, 2007) (2006), available online at: http://www.tobii.com
Fitts, P.M., Jones, R.E., Milton, J.L.: Eye Movement of Aircraft Pilots during Instrument-Landing Approaches. Aeronautical Engineering Review 9, 24–29 (1950)
Goldberg, J.H., Kotval, X.P.: Eye Movement-Based Evaluation of the Computer Interface. In: Kumar, S.K. (ed.) Advances in Occupational Ergonomics and Safety, pp. 529–532. IOS Press, Amsterdam (1998)
Kurland, L., Gertner, A., Bartee, T., Chisholm, M., McQuade, S.: Using Cognitive Task Analysis and Eye Tracking to Understand Imagery Analysis (2005) , (Retrieved Nov 14, 2006) from http://www.mitre.org/work/tech_papers/tech_papers_05/05_1365/05_1365.pdf
Iqbal, S.T., Zheng, X.S., Bailey, B.P.: Task-evoked pupillary response to mental workload in human-computer interaction. In: Proceedings of the ACM Conference on Human Factors in Computing Systems, pp. 1477–1480 (2004)
Fukuda, T., Yamada, M.: Quantitative Evaluation of Eye Movements as Judged by Sight-Line Displacements. SMPTE Journal 95, 1230–1241 (1986)
Nakayama, M., Takahashi, K., Shimizu, Y.: The Act of Task Difficulty and Eye-Movement Frequency for the Oculo-motor indices. In: Proceedings of the Symposium on Eye Tracking Research & Applications, New Orleans, LA, 2002, pp. 37–42 (2002)
Lefebvre, S.: A Look at Intelligence Analysis. Journal of Intelligence and Counter Intelligence 17(2), 231–264 (2004)
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Cowell, A. et al. (2007). Construction and Validation of a Neurophysio-technological Framework for Imagery Analysis. In: Jacko, J.A. (eds) Human-Computer Interaction. Interaction Platforms and Techniques. HCI 2007. Lecture Notes in Computer Science, vol 4551. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73107-8_120
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DOI: https://doi.org/10.1007/978-3-540-73107-8_120
Publisher Name: Springer, Berlin, Heidelberg
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