Seeing Through Multiple Sensors into Distant Scenes: The Essential Power of Viewpoint Control

  • Alexander M. MorisonEmail author
  • Taylor Murphy
  • David D. Woods
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9732)


Sensors are being attached to almost every device and vehicle and integrated together to form sensor systems that extend human reach into distant environments. This means human stakeholders have the potential to see into previously inaccessible environments and to take new vantage points and perspectives. However, current designs of these human-sensor systems suffer from basic deficiencies such as an inability to keep pace with activities in the world, the keyhole problem, high re-orienting costs, and the multiple feeds problem. Principled approaches to the development of human-sensor systems are necessary to overcome these challenges. Principles for viewpoint control provide the key to overcome the limitations of current designs.


Human-sensor systems Viewpoint control Perspective control Human-robot interaction Data overload Keyhole effect Wide-area surveillance Sensor systems Virtual environment Multiple feeds problem 


  1. 1.
    Morison, A.M.: Perspective control: technology to solve the multiple feeds problem in sensor systems. The Ohio State University (2010)Google Scholar
  2. 2.
    Woods, D.D., Sarter, N.B.: Capturing the dynamics of attention control from individual to distributed systems. Theor. Issues Ergon. 11, 7–28 (2010)CrossRefGoogle Scholar
  3. 3.
    Voshell, M., Woods, D.: Breaking the keyhole in human–robot coordination: method and evaluation. In: Proceedings of the Human Factors and Ergonomics Society 49th Annual Meeting (2005)Google Scholar
  4. 4.
    Morison, A., Woods, D., Murphy, T.: Human-robot interaction as extending human perception to new scales. In: Hoffman, R., Hancock, P., Parasuraman, R., Szalma, J., Scerbo, M. (eds.) The Cambridge Handbook of Applied Perception Research, 2nd edn, pp. 848–868. Cambridge University Press, Cambridge (2015)CrossRefGoogle Scholar
  5. 5.
    Woods, D.D., Patterson, E.S., Roth, E.M.: Can we ever escape from data overload? A cognitive systems diagnosis. Cogn. Technol. Work 4, 22–36 (2002). doi: 10.1007/s101110200002
  6. 6.
    Woods, D.D.: Visual momentum: a concept to improve the cognitive coupling of person and computer. Int. J. Man Mach. Stud. 21, 229–244 (1984)CrossRefGoogle Scholar
  7. 7.
    Casper, J., Murphy, R.R.: Human-robot interactions during the robot-assisted urban search and rescue response at the World Trade Center. IEEE Trans. Syst. Man Cybern. Part B 33, 367–385 (2003)CrossRefGoogle Scholar
  8. 8.
    Hughes, S., Lewis, M.: Robotic camera control for remote exploration. Comput. Hum. Interact. 6, 511–517 (2004)Google Scholar
  9. 9.
    Woods, D.D., Hollnagel, E.: Joint Cognitive Systems: Patterns in Cognitive Systems Engineering. CRC Press, Boca Raton (2006)CrossRefGoogle Scholar
  10. 10.
    Guizzo, E.: Fukushima robot operator writes tell-all blog. In: IEEE Spectrum (2011).
  11. 11.
    Simons, D.J., Wang, R.F.: Perceiving real-world viewpoint changes. Psychol. Sci. 9, 315–320 (1998)CrossRefGoogle Scholar
  12. 12.
    Roesler, A.: A new model for perspective: the role of point of observation in virtual and remote perspective-taking. The Ohio State University (2005)Google Scholar
  13. 13.
    Tittle, J.S., Roesler, A., Woods, D.D.: The remote perception problem. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, pp. 260–264 (2002)Google Scholar
  14. 14.
    Morison, A.M., Voshell, M., Roesler, A., Feil, M., Tittle, J., Tinapple, D., Woods, D.D.: Integrating diverse feeds to extend human perception into distant scenes. In: McDermott, E.B.Y.P., Allender, L. (eds.) Advanced Decision Architectures for the Warfighter: Foundation and Technology, pp. 177–200. Alion Science and Technology, Boulder (2009)Google Scholar
  15. 15.
    Breazeal, C., Berlin, M., Brooks, A., Gray, J., Thomaz, A.: Using perspective taking to learn from ambiguous demonstrations. Rob. Auton. Syst. 54, 385–393 (2006)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Alexander M. Morison
    • 1
    Email author
  • Taylor Murphy
    • 1
  • David D. Woods
    • 1
  1. 1.The Ohio State UniversityColumbusUSA

Personalised recommendations