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Context-Aware Communicator for All

  • Paola GarcíaEmail author
  • Eduardo Lleida
  • Diego Castán
  • José Manuel Marcos
  • David Romero
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9175)

Abstract

We describe the design of a communicator for people with speech impairments of several ages, but that can also be used by everybody. The design is based on the accurate definition of user models and profiles from which we extracted technical goals and requirements. The current design shows the factors to consider to provide a successful communication between users. The system is prepared to be used with children and elderly people with some kind of speech impairment. Moreover, the communicator is able to spontaneously adapt to each user profile and be aware of the situation, summarized in: location, time of the day and interlocutor. Therefore, the vocabulary to be used relates to a particular situation with the possibility to be broadened by the user if needed. This “vocabulary” is not restricted only to the word or syntactic domain but to pictograms and concepts. Several machine learning tools are employed for this purpose, such as word prediction, context-aware communication and non-syntactic modeling. We present a prototype scenario that includes examples of the usage of our target users.

Keywords

Communicator Augmentative and alternative communication Pictograms Word prediction Context-aware communication Non-syntactic modeling Speech impairment 

Notes

Acknowlegments

– This research is supported by the Iris project that received funding from European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 610986.

– We would like to thank the people from Alborada Special School for all the information given for this research http://cpeealborada.blogspot.com.es/.

References

  1. 1.
  2. 2.
  3. 3.
    ETSI TR 102 849, Technical report Human Factors (HF); Inclusive eServices for all; background analysis of future interaction technologies and supporting information (2010–2011)Google Scholar
  4. 4.
    ETSI EG 202 848, Human factors; inclusive eServices for all: Optimizing the accessibility and the use of upcoming user interaction technologies (2011–2012)Google Scholar
  5. 5.
    Beukelman, D., Mirenda, P.: Augmentative and Alternative Communication. Brookes, Baltimore (2005)Google Scholar
  6. 6.
    Beukelman, D.R., Fager, S., Ball, L., Dietz, A.: Aac for adults with acquired neurological conditions: a review. Augmentative Altern. Commun. 23(3), 230–242 (2007)CrossRefGoogle Scholar
  7. 7.
    Cook, A.M., Polgar, J.M.: Assistive Technologies: Principles and Practice. Elsevier Health Sciences, UK (2014)Google Scholar
  8. 8.
    Cooper, A., Reimann, R., Cronin, D.: About Face 3: The Essentials of Interaction Design. Wiley, New York (2007)Google Scholar
  9. 9.
    Glennen, S., DeCoste, D.C.: The Handbook of Augmentative and Alternative Communication. Cengage Learning, New York (1997)Google Scholar
  10. 10.
    Hughes, V.: Researchers track down autism rates across the globe (2011). http://sfari.org/news-and-opinion/news/2011/researchers-track-down-autism-rates-across-the-globe
  11. 11.
    Light, J., McNaughton, D.: The changing face of augmentative and alternative communication: past, present, and future challenges. Augmentative Altern. Commun. 28(4), 197–204 (2012)CrossRefGoogle Scholar
  12. 12.
    Lord, C., Anthony, B.: Autism spectrum disorders. In: Rutter, M., Taylor, E. (eds.) Child and Adolescent Psychiatry: Modern Approach. Blackwell Publications, Oxford (2002)Google Scholar
  13. 13.
    Lord, C., Risi, S., Pickles, A.: Trajectory of language development in autistic spectrum disorders. In: RIce, M.L., Warren, S.F. (eds.) Developmental Language Disorders: From Phenotypes to Etiologies, pp. 7–29. Lawrence Erlbaum Associates, Mahwah (2004)Google Scholar
  14. 14.
    Mirenda, P.: Toward functional augmentative and alternative communication for students with autism, manual signs, graphic symbols, and voice output communication aids. Lang. Speech Hear. Serv. Schools 34(3), 203–216 (2003)CrossRefGoogle Scholar
  15. 15.
    Schilit, B.N., Hilbert, D.M., Trevor, J.: Context-aware communication. IEEE Wirel. Commun. 9(5), 46–54 (2002)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Paola García
    • 1
    Email author
  • Eduardo Lleida
    • 1
  • Diego Castán
    • 1
  • José Manuel Marcos
    • 2
  • David Romero
    • 3
  1. 1.ViVoLab I3AUniversity of ZaragozaZaragozaSpain
  2. 2.CPEE AlboradaZaragozaSpain
  3. 3.IES Damian FormentTeruelSpain

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