Proposing Daily Visual Feedback as an Aide to Reach Personal Goals

  • Ana C. Andrés del Valle
  • Agata Opalach
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3805)


Personal goals are difficult to achieve and healthy habits are not as simple to maintain as people would like to. Often, humans look for help to change unwanted behavior. Technology could help us to overcome the daily struggle faced during the search for behavior improvement. The Persuasive Mirror is an example of how computerize persuasion, in the form of visual feedback, could give the needed support.


  1. 1.
    Activity monitoring. Intelligent Home Services. Accenture Technology Information, (retrieved on August 2005)
  2. 2.
    del Valle, A.C.A., Opalach, A.: The Persuasive Mirror: computerized persusion for healthy living. In: Human Computer Interaction International, LV, US (2005)Google Scholar
  3. 3.
    Brown, M.Z., Burschka, D., Hager, G.D.: Advance in Computational Stereo, Department of Computer Science, the Johns Hopkins UniversityGoogle Scholar
  4. 4.
    Buehler, C., Bosse, M., McMillan, L.: Unstructured Lumigraph Rendering. In: Proceedings of SIGGRAPH (2001)Google Scholar
  5. 5.
    Cialdini, R.B.: Influence. In: Science and Practice. Allyn & Bacon Publishers, MA (2001) ISBN 0-321-01147-3Google Scholar
  6. 6.
    Criminisi, A., Shotton, J., Blake, A., Torr, P.: Efficient dense stereo and novel-view synthesis for gaze manipulation in one-to-one teleconferencing. [Technical Report] MSR-TR-2003-59, Microsoft Research (2004)Google Scholar
  7. 7.
    Darrell, T., Gordon, G., Woodfill, J., Harville, M.: A Virtual Mirror Interface using Real-time Robust Face Tracking. In: Proceedings of the the Third International Conference on Face and Gesture Recognition. IEEE Computer Society Press, Nara (1998)Google Scholar
  8. 8.
    Face Transformer: Morphing-based face transformer at Perception Laboratory, School of Psychology, University of St Andrews, Scotland. (retrieved March 29, 2005)
  9. 9.
    Fogg, B.J.: Persuasive technology: using computers to change what we think and do. Morgan Kaufmann Publishers, San Francisco (2003)Google Scholar
  10. 10.
    François, A., Kang, E., Malesci, U.: A Handheld Virtual Mirror. Integrated Media Systems Center, University of Southern CaliforniaGoogle Scholar
  11. 11.
    Hutchinson, H., et al.: Technology probes: inspiring design for and with families. In: Proc. ACM CHI 2003 Conference on Human factors in Computing Systems, pp. 17–23 (2003)Google Scholar
  12. 12.
    ”Intelligent Home Services” – Accenture: Accenture Technology Labs Intelligent Home Services initiative, (retrieved March 25, 2005)
  13. 13.
    Intille, S.: Designing a home of the future. IEEE Pervasive Computing, 80–86 (2002)Google Scholar
  14. 14.
    Intille, S., Larson, K.: Designing and evaluating supportive technology for homes. In: Proc. IEEE/ASME International Conference on Advanced Intelligent MechatronicsGoogle Scholar
  15. 15.
    Nakanishi, Y., Fujii, T., Kiatjima, K., Koike, H.: Vision-Based Face Tracking System for Large Displays. In: Proceedings of the Ubicutous Computer International Conference, Göteborg, Sweden (2002)Google Scholar
  16. 16.
    Pryor, K.: Don’t shoot the dog! The new art of teaching and training. Bantam Books, ch. 4 (1999) ISBN 0-553-38039-7Google Scholar
  17. 17.
    Terzopoulos, D., Waters, K.: Analysis and Synthesis of Facial Image Sequences Using Physical and Anatomical Models. IEEE Trans. Pattern Anal. Mach. Intell. 15(6), 569–579 (1993)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Ana C. Andrés del Valle
    • 1
  • Agata Opalach
    • 1
  1. 1.Accenture Technology LabsSophia AntipolisFrance

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