A Language Activity Monitor for Supporting AAC Evidence-Based Clinical Practice

Abstract

Augmentative and alternative communication (AAC) evidence-based practice requires the collection and analysis of performance data. This article presents the development, evaluation, and application of automated performance monitoring tools for use in clinical practice. Language activity monitoring (LAM) is the systematic data collection of the actual language activity of an individual who relies on AAC. Work completed to date includes the development and evaluation of the language activity monitor function, which now is commercially available in three forms: (1) a standard feature built into modern high performance AAC systems, (2) an external add-on package for use with older AAC devices based on synthetic speech, and (3) software that allows the personal computer to serve as an LAM in the clinical environment. The LAM records the time and content of language events (the generation of one or more letters or words). A logging protocol suitable for clinical application has been in use since late 1998. The logged data is uploaded periodically to a computer for editing, analysis, and the generation of a summary measure report. The applications of this work in the areas of clinical service delivery are presented.