Using language tests and emotional expressions to determine the learnability of artificial languages

Abstract

The study described hereunder lies within the context of a larger project focusing on the design and implementation of a "Robotic Interaction Language". The research goal of this project is to find the right balance between the effort necessary from the user to learn a new or artificial language and the resulting benefit of robust communication between a robot and the user as a direct consequence of optimized speech recognition. To measure the first criteria we have explored two methods to evaluate language learnability, namely Language Tests and analyzing expressed emotions during interaction in an artificial language. Our results indicate that both have potential in being used as measurement tools for evaluating the learnability of artificial languages.