Biomedical Engineering Reference
In-Depth Information
Matching persons and AAC technology:
Primary, secondary, and tertiary considerations of the assessment
(Start at the top and work down.)
Primary components
Language representation methods
Vo cabulary
Methods of utterance generation
Single meaning pictures
Alphabet-based methods
Semantic compaction
Core
extended
SNUG
(spontaneous novel utterance generation)
Pre-stored sentences
Secondary components
Control interface-selection
methods
User interface
Outputs
Symbols
Navigation
Automaticity
Human factors
Direct selection
Keyboard, head pointing,
eye gaze
Scanning
Switches
Physiological (EMG, BCI, etc.)
Morse code
Speech
Display
Electronic/infrared/radio frequency
Data logging
Te rtiary components
Peripheral and integrated features
Training and support
Te lerehabilitation
FIgUre 14.3
Diagram representing the primary, secondary, and tertiary components to consider during an AT assess-
ment. (Hill, K. and Scherer, M.,
Proceedings of the Twenty-Third Annual Conference “Technology and Persons with
Disabilities,
” California State University, Northridge, CA, 2008.)
demonstration and trial (Figure 14.3). The features of AAC systems have been identified
as primary, secondary, and tertiary components (Romich et al. 2005; Cooper et al. 2009).
This approach places more value on features that enhance communication performance
and productivity than typical feature listings or coding categories used for funding (Hill
et al. 2007). A similar performance-based approach may be taken for AT pertaining to oral
