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

Authors:
Omar Mubin;Suleman Shahid;Christoph Bartneck;Emiel Krahmer;Marc Swerts;Loe Feijs
Affiliations:
Eindhoven University of Technology, Eindhoven, Netherlands;Tilburg University, Tilburg, Netherlands;Eindhoven University of Technology, Eindhoven, Netherlands;Tilburg University, Tilburg, Netherlands;Tilburg University, Tilburg, Netherlands;Eindhoven University of Technology, Eindhoven, Netherlands
Venue:
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Year:
2009

Citing 2
Cited 2

On natural language dialogue with assistive robots

Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Human-robot interaction: a survey

Foundations and Trends in Human-Computer Interaction

Designing an Artificial Robotic Interaction Language

INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II
Expressive robots in education: varying the degree of social supportive behavior of a robotic tutor

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Quantified Score

Hi-index	0.00

Visualization

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.