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Assessing B.A.Bar Device as a Tool for Supporting Labour Integration of a Severely Affected Person with Autism Who Carries Out Classifying Tasks

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Computers Helping People with Special Needs (ICCHP 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3118))

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Abstract

This paper describes the case research carried out to demonstrate the utility of a specific technical aid (adapted bar code reader) to train an adult with severe autism in the performance of a work task of classifying products in a shop. The individual with autism who participated in this research has a combination of difficulties (degree of 76 percent of disability and unable to learn to read and write) and abilities (being able to follow single verbal instructions). Positive results are expounded together with considerations about the desirable features of future products that would overcome the mere training process and also be useful for the final and real task in any working environment where bar codes are present. This paper also provides a preview of what work this group will face in the future in order to progress in the development of this more general and standard aid.

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References

  1. Treatment and Education of Autistic and related Communication Handicapped Children, http://www.teacch.com/teacch.htm

  2. Electronic Product Card Global, http://www.epcglobalinc.org/

  3. Swiss Foundation for Rehabilitation Technology (FST), http://www.fst.ch/

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© 2004 Springer-Verlag Berlin Heidelberg

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Herrera, G., Labajo, G. (2004). Assessing B.A.Bar Device as a Tool for Supporting Labour Integration of a Severely Affected Person with Autism Who Carries Out Classifying Tasks. In: Miesenberger, K., Klaus, J., Zagler, W.L., Burger, D. (eds) Computers Helping People with Special Needs. ICCHP 2004. Lecture Notes in Computer Science, vol 3118. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27817-7_143

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  • DOI: https://doi.org/10.1007/978-3-540-27817-7_143

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22334-4

  • Online ISBN: 978-3-540-27817-7

  • eBook Packages: Springer Book Archive

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