A Study on the Usability Testing of Gesture Tracking-Based Natural User Interface

  • C. J. Lim
  • Y. G. Jung
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 373)

Research Significance

This paper compares the difference between the commercialized gesture trackingbased interface and the traditional computer mouse through a usability testing. It is then examined the possibility of applying this technological difference to a variety of content. To achieve this, Kinect sensor device, which is one of the commercialized gesture tracking-based interface, has been used and evaluated its performance through Fitts’ law. Fitts’ law is mainly used in human-computer interaction, which is an authorized tool to evaluate a cursor click and movement on the computer screen. In this paper, three factors – distance, width, and angle – between cursor and target are used to define the index of difficulty into 96 steps. The response time between two randomly selected cursor positions is then measured for each step. By comparing the measured time values, the possibility of using gesture tracking as an alternative interface to the computer mouse is verified.


Movement Time Usability Test Average Response Time Brain Computer Interface Computer Mouse 
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  1. 1.
    Andres, R.O., Hartung, K.J.: Prediction of head movement time using Fitts’ law human factors 31, 703–713 (1989)Google Scholar
  2. 2.
    U.S NRC. Human-system interface design review guideline, NUREG-0700, REV. 1. U.S. Nuclear Regulatory Commission, Washington, D.C. (1996) Google Scholar
  3. 3.
    Parasurman, R.: Human-computer monitoring, the human factors society 29(6), 695–706 (1987)Google Scholar
  4. 4.
    Fitts, P.M.: The information capacity of the human motor system in controlling the amplitude of movement. Journal of Experimental Psychology 47(6), 381–391 (1954)CrossRefGoogle Scholar
  5. 5.
    MacKenzie, S.: Fitts’ law as a performance model in human-computer interaction, Doctoral Dissertation, University of Toronto (1991)Google Scholar
  6. 6.
    Pino, A., Kalogeros, E., Salemis, E., Kouroupetroglou, G.: Brain computer interface cursor measures for motion-impaired and able-bodied users. In: Proceedings of HCI International 2003: The 10th International conference on Human-Computer Interaction, Crete, Greece, pp. 1462–1466 (2003)Google Scholar
  7. 7.
    Hoffmann, E.R., Sheikh, I.H.: Effect of varying target height in a Fitts’ movement task. Ergonomics 36(7), 1071–1088 (1994)CrossRefGoogle Scholar
  8. 8.
    Casiez, G.: The impact of control-display gain on user performance in pointing tasks. Human-Computer Interaction 23, 215–250 (2008)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • C. J. Lim
    • 1
  • Y. G. Jung
    • 2
  1. 1.Dept. of Game and Multimedia EngineeringKorea Polytechnic UniversityKorea
  2. 2.Media Interactive Inc.Korea

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