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Adaptation of AAC to the Context Communication: A Real Improvement for the User Illustration through the VITIPI Word Completion

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7383))

Abstract

This paper describes the performance of the VITIPI word completion system through a text input simulation. The aim of this simulation is to estimate the impact of the linguistic knowledge base size through two metrics: the Key-Stroke Ratio (KSR) and the KeyStroke Per Character (KPC). Our study shows that the performance of a word completion is depending of the % of words not available and the size of the lexicon.

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References

  1. Badr, G., Raynal, M.L.: CentraList, AAATE’2011, Everyday Technology for Independence and Care. In: Gelderblom, G.J., et al. (eds.), pp. 944–951. IOS Press (2011)

    Google Scholar 

  2. Bérard, C., Neimeijer, D.: Evaluating effort reduction through different word prediction systems. In: Proceedings of the IEEE International Conference on Systems, Man and Cy-bernetics, La Haye NL, vol. 3, pp. 2658–2663 (2004)

    Google Scholar 

  3. Boissière, P., Dours, D.: From a specialized writing interface created for disabled, to an universal interface for all: The VITIPI System. In: 1st International UAHCI 2001 Conference (Universal Access for Human Computer Interfaces), News-Orleans, August 5-10, pp. 895–899 (2001)

    Google Scholar 

  4. Boissière, P., Schadle, I., Antoine, J.-Y.: A methodological framework for writing assis-tance systems: applications to Sibylle and VITIPI systems. Edited by Association for the Advancement of Modeling & Simulation Techniques in Enterprise, AMSE-Journals, Modeling C 67 (supp. Handicap 2006), 167–176 (2006)

    Google Scholar 

  5. Dubus, N.: Evaluation de l’interface intelligente d’aide à la saisie informatique, VITIPI au ly-cée Le Parc Saint-Agne. Journal d’Ergothérapie, 95–100 (Mars 1996)

    Google Scholar 

  6. Garay-Vitoria, N., Abascal, J.: Text prediction systems: a survey. International Journal on Universal Access in the Information Society 4(3), 88–103 (2006)

    Google Scholar 

  7. Garay-Vitoria, N., Abascal, J.: Modelling text prediction systems in low- and high-inflected languages. Computer Speech and Language 24, 117–135 (2010)

    Article  Google Scholar 

  8. Goodman, J., Venolia, G., Steury, K., Parker, C.: Language modeling for soft keyboards. In: IUI 2002: Proceedings of the 7th International Conference on Intelligent User Interfaces, pp. 194–195. ACM, New York (2002)

    Chapter  Google Scholar 

  9. Koester, H.H., Simon, P., Levine, S.P.: Modeling the Speed of Text Entry with a Word Prediction Interface. IEEE Transactions on Rehabilitation Engineering

    Google Scholar 

  10. MacKenzie, I.S., Kober, H., Smith, D., Jones, T., Skepner, E.: LetterWise: Pre_x-Based Disambiguation For Mobile Text Input. In: UIST 2001: Proceedings of the 14th Annual ACM Symposium on User Interface Software and Technology, pp. 111–120. ACM, New York (2001)

    Chapter  Google Scholar 

  11. Soukoreff, R.W., MacKenzie, S.I.: Metrics for text entry research: an evaluation of MSD and KSPC, and a new unified error metric. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (2003), pp. 113–120 (2003)

    Google Scholar 

  12. Trost, H., Matiasek, J., Baroni, M.: The Language Component of the FASTY Text Prediction System. Applied Artificial Intelligence 19(8), 743–781 (2005)

    Article  Google Scholar 

  13. van den Bosch, A.: Effects of Context and Recency in Scaled Word Completion. Computational Linguistics in the Netherlands Journal 1, 79–94 (2011)

    Google Scholar 

  14. Wandmacher, T., Antoine, J.-Y., Poirier, F., Departe, J.-P.: SIBYLLE, an Assistive Commu-nication System Adapting to the Context and its User. ACM Transactions on Accessible Computing 1(1), Article 6, p. 6.1-6.30 (2008)

    Google Scholar 

  15. Ward, D., Blackwell, A., Mckay, D.: Dasher: A Data Entry Interface Using Continuous Gestures and Language Models. In: Proceedings of the 13th Annual ACM Symposium on User Interface Software and Technology, UIST 2002, San Diego, CA, pp. 129-137 (2000)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Boissière, P., Vigouroux, N., Mojahid, M., Vella, F. (2012). Adaptation of AAC to the Context Communication: A Real Improvement for the User Illustration through the VITIPI Word Completion. In: Miesenberger, K., Karshmer, A., Penaz, P., Zagler, W. (eds) Computers Helping People with Special Needs. ICCHP 2012. Lecture Notes in Computer Science, vol 7383. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31534-3_67

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  • DOI: https://doi.org/10.1007/978-3-642-31534-3_67

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31533-6

  • Online ISBN: 978-3-642-31534-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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