Advertisement

A Fuzzy Logic System for Evaluating Quality of Experience of Haptic-Based Applications

  • Abdelwahab Hamam
  • Mohamad Eid
  • Abdulmotaleb El Saddik
  • Nicolas D. Georganas
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5024)

Abstract

Multimedia systems and applications have recently started to integrate the sense of touch and force feedback in the human-computer interaction. Surprisingly, measuring the quality of experience (QoE) when haptic modality is incorporated in a virtual user interface has received limited attention from the research community. In this paper, we propose a taxonomy for measuring the quality of experience of Virtual Reality (VR) applications. Furthermore, the taxonomy is modeled using a Fuzzy Logic Inference System (FIS) to quantitatively measure the QoE of a haptic virtual environment. Finally, the proposed model is tested using the Mamdani system. The simulation and usability analysis demonstrated that the proposed model reflects the user estimation for the applications more accurately and thus is capable of measuring the overall QoE of a haptic application.

Keywords

haptics quality of experience fuzzy logic 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Eid, M., Orozco, M., El Saddik, A.: A Guided Tour in Haptic Audio Visual Environment and Applications. Journal of Advanced Media and Comm. 1(3), 265–297 (2007)CrossRefGoogle Scholar
  2. 2.
    Whalen, T.E., Noel, S., Stewart, J.: Measuring the Human Side of Virtual Reality. In: International Symposium on Virtual Environments, Human Interfaces, and Measurement Systems, Lugano, Switzerland, July 27-29 (2003)Google Scholar
  3. 3.
    Gabbard, J.L., Hix, D., Swan, J.E.: User-Centered Design and Evaluation of Virtual Environments. IEEE Computer Graphics and Applications 19(6), 51–59 (1999)CrossRefGoogle Scholar
  4. 4.
    Basdogan, C., Ho, C., Srinivasan, M.A., Slater, M.: An Experimental Study on the Role of Touch in Shared Virtual Environments. ACM Trans. On Computer-Human Interaction 7(4), 443–460 (2000)CrossRefGoogle Scholar
  5. 5.
    Guerraz, A., Loscos, C., Widenfeld, R.: How to use physical parameters coming from the haptic device itself to enhance the evaluation of haptic benefits in user interface. EuroHaptics (2003)Google Scholar
  6. 6.
    Ramsay, A.: Investigation of physiological measures relative to self-report of virtual reality induced sickness and effects (VRISE). In: The International Workshop on Motion Sickness: Medical and Human Factors, Marbella, Spain, May 26-28 (1997)Google Scholar
  7. 7.
    Hamam, A., Eid, M., El Saddik, A., Georganas, N.: A Quality of Experience Model for Haptic User Interfaces. Haptic in Ambient Systems, Quebec City, Canada (2008)Google Scholar
  8. 8.
    Al Osman, H., Eid, M., El Saddik, A.: Evaluating ALPHAN: A Network Protocol for Haptic Interaction. In: The 16th Symposium on Haptic Interfaces for Virtual Environments and teleoperator Systems, Reno, Nevada, USA (2008)Google Scholar
  9. 9.
    Mamdani, E.H., Assilian, S.: An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller. International Journal of Human-Computer Studies 51(2), 135–147 (1999)CrossRefGoogle Scholar
  10. 10.
    Sensable Technologies (accessed March 9, 2008), http://www.sensable.com/
  11. 11.
    Takagi, T., Sugeno, M.: Fuzzy identification of systems and its applications to modeling and control. IEEE Trans, on Systems, Man and Cybernetics 15, 116–132 (1985)zbMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Abdelwahab Hamam
    • 1
  • Mohamad Eid
    • 1
  • Abdulmotaleb El Saddik
    • 1
  • Nicolas D. Georganas
    • 1
  1. 1.Distributed & Collaborative Virtual Environments Research LaboratoryUniversity of OttawaCanada

Personalised recommendations