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Individually Assisted Text Entry with Situational and Contextual Prediction

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2398))

Abstract

The EMBASSI project aims at developing Electronical Multi-Medial Operating and Service Assistance for applications of electronic devices in private, automotive and public environments. — In order to assist ”slow typers“ in typing free texts and to speed up text entries in public terminal systems, a text prediction system is being developed that predicts text while the user is slowly writing. The system takes into account application dependent vocabulary, user dependent preferences in writing, and the user specific features of impairment- dependent Personal Mobile Control Devices (EMMA) with individual user interface layouts.

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References

  1. EMBASSI web page — http://www. embassi.de/

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  5. Kushler, C.: AAC using a reduced keyboard. Online proceedings of Technology and Persons with Disabilities 1998. Center on Disabilities, California State University, 1998. http://www-cod.csun.edu/conf/1998/proceedings/csun98_140.htm

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© 2002 Springer-Verlag Berlin Heidelberg

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Clemens, D., Heck, H., Kühn, M., Perlick, O., Reins, F. (2002). Individually Assisted Text Entry with Situational and Contextual Prediction. In: Miesenberger, K., Klaus, J., Zagler, W. (eds) Computers Helping People with Special Needs. ICCHP 2002. Lecture Notes in Computer Science, vol 2398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45491-8_58

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  • DOI: https://doi.org/10.1007/3-540-45491-8_58

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43904-2

  • Online ISBN: 978-3-540-45491-5

  • eBook Packages: Springer Book Archive

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