This paper presents a set of summary measures together with tools and methods to assist AAC practitioners in the clinical decision-making process. These summary measures provide the quantitative data necessary for a structured and methodical approach to measure performance and clinical effectiveness. When combined with the information gathered using traditional qualitative methods, AAC users and their facilitators will have what they need to weigh the benefits of available technology solutions and strategies. AAC language samples can be collected in clinical settings and in the natural environment. Each has particular advantages.
Natural environment sampling over a long term is more indicative of actual use of the AAC system.
However, the controlled structure of sampling in the clinical environment can provide information not otherwise available. This can include data that can be compared to normative data and to data collected previously from the same individual. The procedures were developed with clinician and consumer input on selecting tasks for interactive communication. The procedures adhere to traditional approaches to harvesting the most representative sample or largest sample of continuous spontaneous interaction from an individual as possible. The LAM data can be uploaded into a computer using LAMupload or any properly configured serial communication program.