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The creation and facilitation of speech and language therapy sessions for individuals with aphasia

Published:12 July 2014Publication History

ABSTRACT

Aphasia is the degradation of one's ability to comprehend or convey language, usually due to brain damage caused by strokes or some external force. Sufferers can regain some or all of their prior abilities, but only with significant speech and language therapy (SLT) sessions. SLT sessions are resource-intensive, as they often require skilled therapists to adapt the therapy for the individual patients.

We present Ogma, a novel approach to the automatic creation of SLT sessions. Ogma is comprised of a proprietary mobile front-end application that the patients interact with, and an offline GA that designs patient-specific sessions based on a patient's progress. Key to this is the ability to accurately capture the difficulty of the generated sessions; this paper presents the results of experiments where SLT practitioners perform beta testing on Ogma, to ascertain its ability to consistently produce useful sessions of appropriate difficulty.

References

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  3. J. Marshall, C. Pound, M. White-Thomson, and T. Pring. The use of picture/word matching tasks to assist word retrieval in aphasic patients. Aphasiology, 4:167--184, 1990.Google ScholarGoogle ScholarCross RefCross Ref
  4. J. Mortley, J. Wade, and P. Enderby. Superhighway to promoting a client-therapies partnership' using the internet to deliver word retrieval computer therapy, monitored remotely with minimal speech and language therapy input. Aphasiology, 18(3):193--213, 2004.Google ScholarGoogle ScholarCross RefCross Ref
  5. W. M. E. van de Sandt-Koenderman. Aphasia rehabilitation and the role of computer technology: Can we keep up with modern times? International Journal of Speech-Language Pathology, 13:21--27, 2011.Google ScholarGoogle ScholarCross RefCross Ref

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    • Published in

      cover image ACM Conferences
      GECCO Comp '14: Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation
      July 2014
      1524 pages
      ISBN:9781450328814
      DOI:10.1145/2598394

      Copyright © 2014 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 12 July 2014

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