Cursor Navigation Using Haptics for Motion-Impaired Computer Users

  • Christopher T. Asque
  • Andy M. Day
  • Stephen D. Laycock
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7282)


In recent years, typical desktop computer screen sizes and resolutions have increased significantly. The result of this is that a pointing device has to travel a much greater distance to navigate the whole of a computer screen. For motion-impaired operators that suffer from fatigue or have a limited range of movement this can make a computer inaccessible. This paper introduces a new method for cursor navigation using the Phantom Omni force-feedback device. The newly proposed workbox is designed to aid the operator with coarse navigation of the cursor and improve target selection. The proposed method can significantly reduce the effect of target distracters, which have been a major hindrance to the development of haptic assistance in graphical user interfaces (GUI). The workbox has shown to significantly improve computer access for operators with a limited range of movement by giving them the ability to navigate all of a computer screen.


Haptics haptic assistance cursor navigation 


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  1. 1.
    ISO ergonomic requirements for office work with visual display terminals (VDTs). Part 9 - Requirements for non-keyboard input devices, International Organisation for Standardisation (1998)Google Scholar
  2. 2.
    Asano, T., Sharlin, E., Kitamura, Y., Takashima, K., Kishino, F.: Predictive interaction using the delphian desktop. In: Proc. UIST, pp. 133–141 (2005)Google Scholar
  3. 3.
    Asque, C.T., Day, A.M., Laycock, S.D.: Haptic assisted target acquisition in a visual point-and-click task for computer users with motion-impairments. IEEE Transactions on Haptics (2011)Google Scholar
  4. 4.
    Card, S.K., English, W.K., Burr, B.J.: Evaluation of mouse, rate-controlled isometric joystick, step keys, and text keys, for text selection on a crt. In: HCI, pp. 386–392 (1987)Google Scholar
  5. 5.
    Casiez, G., Vogel, D., Pan, Q., Chaillou, C.: Rubberedge: reducing clutching by combining position and rate control with elastic feedback. In: Proc. of UIST, pp. 129–138 (2007)Google Scholar
  6. 6.
    Conti, F., Barbagli, F., Morris, D., Sewell, C., Grange, S.: CHAI3D open source haptic api,
  7. 7.
    Dennerlein, J., Johnson, P.: Changes in upper extremity biomechanics across different mouse positions in a computer workstation. In: Ergonomics (2006)Google Scholar
  8. 8.
    Dominjon, L., Lécuyer, A., Burkhardt, J., Andrade-barroso, G., Richir, S.: The “bubble” technique: Interacting with large virtual environments using haptic devices with limited workspace. In: World Haptics, pp. 639–640 (2005)Google Scholar
  9. 9.
    Epps, B.W.: Comparison of six cursor control devices based on fitts law models. In: The Human Factors Society 30th Annual Meeting, vol. 30, pp. 327–331 (1986)Google Scholar
  10. 10.
    Gunn, C., Muller, W., Datta, A.: Performance improvement with haptic assistance: A quantitative assessment. In: World Haptics, USA, pp. 511–516 (2009)Google Scholar
  11. 11.
    Holbert, B., Huber, M.: Design and evaluation of haptic effects for use in a computer desktop for the physically disabled. In: Proc. of the PErvasive Technologies Related to Assistive Environments, Greece, pp. 9:1–9:8 (2008)Google Scholar
  12. 12.
    Hwang, F., Langdon, P., Keates, S., Clarkson, J.: The effect of multiple haptic distractors on the performance of motion-impaired users. In: 6th ERCIM Workshop, Italy, pp. 14–25 (2003)Google Scholar
  13. 13.
    Keates, S., Hwang, F., Langdon, P., Clarkson, P.J., Robinson, P.: The use of cursor measures for motion-impaired computer users, vol. 2(1), pp. 18–29 (2002)Google Scholar
  14. 14.
    Koester, H., LoPresti, E., Simpson, R.: Toward goldilocks’ pointing device: Determining a “just right” gain setting for users with physical impairments. In: Proc. of ACM SIGACCESS, Baltimore, MD, USA, pp. 84–89 (2005)Google Scholar
  15. 15.
    Langdon, P., Hwang, F., Keates, S., Clarkson, P.J., Robinson, P.: Investigating haptic assistive interfaces for motion-impaired users: Force-channels and competitive attractive-basins. In: Proc. of Eurohaptics, UK, pp. 122–127 (2002)Google Scholar
  16. 16.
    Langdon, P., Keates, S., Clarkson, J., Robinson, P.: Using haptic feedback to enhance computer interaction for motion-impaired users. In: Proc. of ICDVRAT 2000, Alghero, Italy, pp. 25–32 (September 2000)Google Scholar
  17. 17.
    Lank, E., Cheng, Y.C.N., Ruiz, J.: Endpoint prediction using motion kinematics. In: Proc. of the SIGCHI Conference on Human Factors in Computing Systems, New York, NY, USA, pp. 637–646 (2007)Google Scholar
  18. 18.
    Majaranta, P., Räihä, K.J.: Twenty years of eye typing: systems and design issues. In: Proc. of the 2002 Sym. on Eye Tracking Research & Applications, pp. 15–22 (2002)Google Scholar
  19. 19.
    Mandryk, R.L., Gutwin, C.: Perceptibility and utility of sticky targets. In: Proceedings of Graphics Interface 2008, pp. 65–72 (2008)Google Scholar
  20. 20.
    Mithal, A.K., Douglas, S.: Differences in movement microstructure of the mouse and the finger-controlled isometric joystick. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 300–307 (1996)Google Scholar
  21. 21.
    Stocks, M., Hayward, S., Laycock, S.: Interacting with the biomolecular solvent accessible surface via a haptic feedback device. BMC Structural Biology 9, 69 (2009)CrossRefGoogle Scholar
  22. 22.
    Zilles, C.B., Salisbury, J.K.: A constraint based God-Object method for haptic display. In: Proc. of the IEEE Conference on Intelligent Robots and Systems, pp. 146–151 (1995)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Christopher T. Asque
    • 1
  • Andy M. Day
    • 1
  • Stephen D. Laycock
    • 1
  1. 1.School of Computing SciencesUniversity of East AngliaNorwichUK

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