Advertisement

Ubiquitous Augmented Cognition

  • Anna Skinner
  • Clementina Russo
  • Lisa Baraniecki
  • Molly Maloof
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8534)

Abstract

The paradigm shift in pervasive computing drives human-computer interaction (HCI) toward complex domains, where novel approaches to support human cognition in mobile and dynamic environments are necessary. The field of Augmented Cognition (AugCog) provides a scientifically-grounded approach toward intrinsic human information processing and challenges associated with data-intensive systems, leveraging empirically-based HCI solutions that account for human cognitive limitations. Applying this to ubiquitous computing demands unobtrusive technologies capable of time-dependant user assessment in various environments. Technological advances and utilization of personal activity reporting at a consumer level have made ubiquitous AugCog a necessary implementation. Such technologies (i.e., head-mounted displays) produce a deluge of data, generating a need for experimentally-based metrics, algorithms, and adaptive interfaces for closed-loop, synergistic human-technology performance systems. A Ubiquitous AugCog framework is proposed along with an essential use case to guide the design of multi-modal human performance assessment and optimization tools beyond laboratory settings.

Keywords

HCI Augmented Cognition Ubiquitous Computing Pervasive Computing 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Besnard, D., Hollnagel, E.: Some myths about industrial safety. CRC technical report (2013)Google Scholar
  2. 2.
    Abowd, G.D., Dey, A.K.: Towards a better understanding of context and context-awareness. In: Gellersen, H.-W. (ed.) HUC 1999. LNCS, vol. 1707, p. 304. Springer, Heidelberg (1999)CrossRefGoogle Scholar
  3. 3.
    Feigh, K.M., Pritchett, A.R.: Requirements for Effective Function Allocation: A Critical Review. J. Cog. Engineering & Decision Making (2013)Google Scholar
  4. 4.
    Girolamo, H.J.: Augmented cognition for warfighter: A beta test for future applications. In: 11th Annual HCI Human Computer Interaction International Conference, Las Vegas, NV (2005)Google Scholar
  5. 5.
    Hale, K.S., Fuchs, S., Berka, C.: Driving EEG cognitive assessment using eye fixations. In: Applied Human Factors and Ergonomics 2nd International Conference, Las Vegas, NV (July 2008)Google Scholar
  6. 6.
    Hollnagel, E.: Resilience engineering and the systemic view of safety at work: Why work-as-done is not the same as work-as-imagined. Bericht Zum (2012)Google Scholar
  7. 7.
    Morrison, J.G., Kobus, D.A., Brown, C.M.: DARPA Improving Warfighter Information Intake Under Stress. Augmented Cognition (2006)Google Scholar
  8. 8.
    Rankin, A., Lundberg, J., Woltjer, R., Rollenhagen, C., Hollnagel, E.: Resilience in Evveryday Operations: A Framework for Analyzing Adaptations in High-Risk Work. J. Cog. Engineering and Decision Making (2013)Google Scholar
  9. 9.
    Reeves, L.M., Schmorrow, D.D.: Augmented Cognition Foundations and Future Directions—Enabling “Anyone, Anytime, Anywhere” Applications. In: Stephanidis, C. (ed.) HCI 2007. LNCS, vol. 4554, pp. 263–272. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  10. 10.
    Reeves, L.M., Schmorrow, D.D., Stanney, K.M.: Augmented Cognition and Cognitive State Assessment Technology – Near-Term, Mid-Term, and Long-Term Research Objectives. In: Schmorrow, D.D., Reeves, L.M. (eds.) HCII 2007 and FAC 2007. LNCS (LNAI), vol. 4565, pp. 220–228. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  11. 11.
    Satyanarayanan, M.: Pervasive Computing: Vision and Challenges. IEEE Personal Communications (2001)Google Scholar
  12. 12.
    Schmidt, A.: Implicit Human Computer Interaction Through Context. Personal Technologies (2000)Google Scholar
  13. 13.
    Schmorrow, D.D., Kruse, A.A.: Augmented Cognition. In: Bainbridge, W.S. (ed.) Berkshire Encyclopedia of Human-Computer Interaction, pp. 54–59. Berkshire Publishing Group, Great Barrington (2004)Google Scholar
  14. 14.
    Schmorrow, D., Stanney, K., Wilson, G., Young, P.: Augmented Cognition in Human-System Interaction. In: Salvendy, G. (ed.) Handbook of Human Factors & Ergonomics, 3rd edn., pp. 1364–1384. Wiley, Hoboken (2006)CrossRefGoogle Scholar
  15. 15.
    Sharp, H., Rogers, Y., Preece, J.: Interaction Design: Beyond Human-Computer Interaction, 2nd edn. John Wiley & Sons, Ltd, West Sussex (2007)Google Scholar
  16. 16.
    Skinner, A., Long, L., Vice, J., Blitch, J., Fidopiastis, C.M., Berka, C.: Augmented interaction: Applying the principles of augmented cognition to human-technology and human-human interactions. In: Schmorrow, D.D., Fidopiastis, C.M. (eds.) AC 2013. LNCS, vol. 8027, pp. 764–773. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  17. 17.
    St. John, M., Kobus, D.A., Morrison, J.G.: DARPA Augmented Cognition Technical Integration Experiment (TIE). SPAWAR Systems Center Technical Report, San Diego, CA (December 2003)Google Scholar
  18. 18.
    Sætrevik, B., Eid, J.: The “Similarity Index” as an Indicator of Shared Mental Models and Situation Awareness in Field Studies. Journal of Cognitive Engineering and Decision Making (2013)Google Scholar
  19. 19.
    Ververs, P.M., Whitlow, S.D., Doneich, M.C., Mathan, S.: Building Honeywell’s Adaptive System for the Augmented Cognition Program. In: Schmorrow, D.D. (ed.) Foundations of Augmented Cognition, pp. 460–468. Lawrence Erlbaum Associates, Mahawah (2005)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Anna Skinner
    • 1
  • Clementina Russo
    • 1
  • Lisa Baraniecki
    • 1
  • Molly Maloof
    • 2
  1. 1.AnthroTronixSilver SpringUSA
  2. 2.3ScanSan FranciscoUSA

Personalised recommendations