Improving Anomaly Detection Through Identification of Physiological Signatures of Unconscious Awareness

  • Alyssa M. Piasecki
  • Mary E. Fendley
  • Rik Warren
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 497)

Abstract

It is well-known and accepted in the field of cognitive psychology that people have no conscious experience of most of what happens in the human mind. Nevertheless, appropriate actions or conclusions are often still made without this conscious effort. This phenomenon has many potential applications, ranging from driving a vehicle to detecting threats in military video feeds. Investigation of these unconscious processes could provide an insight into potential errors that occur. The present study explores missed anomalies in a visual search task and the possibility of unconscious awareness. A total of 24 subjects participated in the task, in which the goal was to locate targets hidden in an image. Eye physiology was recorded with a Tobii T120 eye tracking monitor in order to characterize the eye physiology of detection, non-detection, and possible unconscious detection. Preliminary results indicate outliers in eye-physiology of non-detections, indicating a possible unconscious detection.

Keywords

Unconscious detection Eye-tracking Anomaly response Visual search task 

Notes

Acknowledgments

This research was performed as part of thesis work and related to a project sponsored by the Dayton Area Graduate Studies Institute (DAGSI) and the Air Force Research Laboratory, 711th Human Performance Wing, Human Effectiveness Directorate, Human Analyst Augmentation Branch located at Wright-Patterson AFB.

References

  1. 1.
    Wickens, C.D.: Engineering Psychology and Human Performance, 2nd edn. HarperCollins Publishers, New York (1992)Google Scholar
  2. 2.
    Baddeley, A.: Working memory: looking back and looking forward. Nat. Rev. Neurosci. 4(10), 829–839 (2003)CrossRefGoogle Scholar
  3. 3.
    Betsch, T.: The nature of intuition and its neglect in research on judgment and decision making. Intuition Judgment Decis. Making 3–22 (2008)Google Scholar
  4. 4.
    Betsch, T., Glöckner, A.: intuition in judgment and decision making: extensive thinking without effort. Psychol. Inq. 21(4), 279–294 (2010)CrossRefGoogle Scholar
  5. 5.
    Horstmann, N., Ahlgrimm, A., Glöckner, A.: How Distinct are Intuition and Deliberation? An Eye-Tracking Analysis of Instruction-Induced Decision Modes. MPI Collective Goods Preprint, (2009/10). (2009)Google Scholar
  6. 6.
    Drew, T., Vo, M.L., Wolfe, J.M.: The invisible gorilla strikes again: sustained inattentional blindness in expert observers. Psychol. Sci. 24(9), 1848–1853 (2013)CrossRefGoogle Scholar
  7. 7.
    Droll, J.A., Hayhoe, M.M., Triesch, J., Sullivan, B.T.: Task demands control acquisition and storage of visual information. J. Exp. Psychol. Hum. Percept. Perform. 31(6), 1416 (2005)CrossRefGoogle Scholar
  8. 8.
    Simons, D.J., Chabris, C.F., Schnur, T., Levin, D.T.: Evidence for preserved representations in change blindness. Conscious. Cogn. 11(1), 78–97 (2002)CrossRefGoogle Scholar
  9. 9.
    Hollingworth, A., Henderson, J.M.: Accurate visual memory for previously attended objects in natural scenes. J. Exp. Psychol. Hum. Percept. Perform. 28(1), 113 (2002)CrossRefGoogle Scholar
  10. 10.
    Rensink, R.A.: Visual sensing without seeing. Psychol. Sci. 15(1), 27–32 (2004)CrossRefGoogle Scholar
  11. 11.
    Galpin, A., Underwood, G., Chapman, P.: Sensing without seeing in comparative visual search. Conscious. Cogn. 17(3), 672–687 (2008)CrossRefGoogle Scholar
  12. 12.
    Spering, M., Pomplun, M., Carrasco, M.: Tracking without perceiving: a dissociation between eye movements and motion perception. Psychol. Sci. 22(2), 216–225 (2011)CrossRefGoogle Scholar
  13. 13.
    Spering, M., Carrasco, M.: Acting without seeing: eye movements reveal visual processing without awareness. Trends Neurosci. 38(4), 247–258 (2015)CrossRefGoogle Scholar
  14. 14.
    Rothkirch, M., Stein, T., Sekutowicz, M., Sterzer, P.: A direct oculomotor correlate of unconscious visual processing. Curr. Biol. 22(13), R514–R515 (2012)CrossRefGoogle Scholar
  15. 15.
    Tsuchiya, N., Koch, C.: Continuous flash suppression reduces negative afterimages. Nat. Neurosci. 8(8), 1096–1101 (2005)CrossRefGoogle Scholar
  16. 16.
    Carmi, R., Itti, L.: Visual causes versus correlates of attentional selection in dynamic scenes. Vision. Res. 46(26), 4333–4345 (2006)CrossRefGoogle Scholar
  17. 17.
    Rummukainen, O., Radun, J., Virtanen, T., Pulkki, V.: Categorization of natural dynamic audiovisual scenes. PLoS One 9(5), e95848 (2014)CrossRefGoogle Scholar
  18. 18.
    Hamel, S., Houzet, D., Pellerin, D., Guyader, N.: Does color influence eye movements while exploring videos? J. Eye Mov. Res. 8(1), 4, 1–10 (2015)Google Scholar
  19. 19.
    Wu, C.C., Wick, F.A., Pomplun, M.: Guidance of visual attention by semantic information in real-world scenes. Front. Psychol. 5 (2014)Google Scholar
  20. 20.
    Açık, A., Bartel, A., König, P.: Real and implied motion at the center of gaze. J. Vision 14(1), 2 (2014)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  • Alyssa M. Piasecki
    • 1
  • Mary E. Fendley
    • 1
  • Rik Warren
    • 2
  1. 1.Department of Biomedical, Industrial and Human Factors EngineeringWright State UniversityDaytonUSA
  2. 2.711th Human Performance Wing, Air Force Research LaboratoryWPAFBOhioUSA

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