Page 199 - Handbook of Electronic Assistive Technology
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Chapter 7 • Alternative and Augmentative Communication  187



                 Table 7-1  The Percentage of People within Various Diagnostic Groups who could
                 Potentially Benefit from AAC
                  •   Alzheimer’s/dementia (23.2%)
                  •   Parkinson’s disease (22.7%)
                  •   Autistic spectrum disorder (18.9%)
                  •   Learning disabilities (13.3%)
                  •   Stroke/cerebrovascular accident (9.9%)
                  •   Cerebral palsy (4.5%)
                  •   Head/brain injury (2.3%)
                  •   Profound and multiple learning disability (1.7%)
                  •   Motor neuron disease (1%)
                  •   Other (2.5%)
                 Creer et al. (2016).

                 AAC to support children with autism, Wendt (2017) notes that ‘one single best [speech
                 generating device] or AAC app for autism does not exist! Learners with autism present
                 with varying needs and learning profiles and should receive individualised AAC solutions’.
                 Similarly, a systematic review of the role of AAC for persons with developmental disabili-
                 ties concluded that ‘it is difficult to form conclusions about the effect of augmented input
                 on specific diagnostic populations’ because of the heterogeneity of these populations and
                 the occurrence of comorbid conditions (Allen et al., 2017). Once again, the recommenda-
                 tions are that AAC systems should be chosen as a result of careful assessment and match-
                 ing the skills of an individual to the specific features of a device.


                 Defining and Classifying AAC Systems

                 AAC systems may support both  receptive and  expressive communication. The former
                 refers to systems and strategies which support an individual’s understanding of language
                 and the latter to supporting communicative output and the transmission of messages to a
                 communication partner.
                   Within the field of AAC, there exists some debate about the terminology used to describe
                 the systems and devices used to support those with expressive communication needs. For
                 the purposes of this chapter, the authors have chosen to use the terms unaided, low-tech
                 and high-tech to categorise the different types of AAC discussed (Fig. 7-2). An unaided
                 system is one that relies on a user’s body to convey messages, such as formalised sign lan-
                 guages, supported signing systems such as Makaton and Signed English or the use of natu-
                 ral gesture and facial expression. An unaided system requires no additional components,
                 although will still require teaching and practice for a person to develop the skills needed to
                 be an effective user. The other two categories require an additional transmission device or
                 method. A low-tech system is usually a method such as a communication book or board,
                 containing written text, graphic symbols, pictograms or photographs. A high-tech sys-
                 tem is one that requires either a battery or mains power. This category includes dedicated
                 communication aid devices making use of synthetic or digitally recorded voice output,
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