The purpose of this study was to evaluate the efficacy of a computer program, Converser, which uses the speech recognition of the speaking partner to predict contextually appropriate utterances and to store relevant noun phrases. The dyads (which consisted of a program user and a speaking partner) tested Converser in two communication tasks: a conversation and an interview. Two conditions were applied: A simple communication aid with an alphabet layout without Converser (alpha-only condition), and an identical aid with Converser (alpha-converser condition). Objective measurements were made concerning the program user's rate and Converser usage. The results showed that the alpha-converser condition generated a faster communication rate than the alpha-only condition. Also, the program users utilized the stored noun phrases in their productions more than the full utterances. Converser allowed for periodic instances of a fast rate of speech, which appeared to have a positive impact on communication.
This research explores the efficacy of an AAC application, Converser, that uses natural language processing to assist in communication. Converser uses speech recognition of the speaking partner to predict contextually appropriate utterances. This article reports on the subjective data gathered from an experimental evaluation of Converser's efficacy (see Wisenburn and Higginbotham, 2008 for a full description of Converser and the objective results). Converser was evaluated in two communication tasks (a Conversation and an Interview task) under two conditions: a simple alphabet board without Converser (alpha-only condition), and an identical board with Converser (alpha-Converser condition). Subjective data was gathered through rating questionnaires and written comments. Program users rated the speed of communication faster in the alpha-Converser condition. Program user ratings of quality, and speaking partner ratings of speed and quality, showed no difference between the two conditions; however, the participant comments about Converser were positive.
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