Analyzing the Multimodal Behaviors of Users of a Speech-to-Speech Translation Device by using Concept Matching Scores

Abstract

We investigate factors related to interfacing a speech-to-speech translation device with multimodal capabilities. We evaluate the efficacy of the interactions using a measure for meaning transfer, we call concept score. We show that employing a multimodal interface improves translation quality, in this study, by 24%. We also show that while some users require perfect representation of what they said in order to allow transfer, others accept concept degradation to some extent, in median up to 20% in our experiments. An appropriate system strategy is required to recognize this behavior and guide users towards optimum performance points. For example, we show that appropriate feedback is required to guide the users in their choices of translation method, as 13% of the choices users made are worse than the alternatives the system provided.