Abstract
Multimodal conversational interfaces allow users to carry a dialog with a graphical display using speech to accomplish a particular task. Motivated by previous psycholinguistic findings, we examine how eye-gaze contributes to reference resolution in such a setting. Specifically, we present an integrated probabilistic framework that combines speech and eye-gaze for reference resolution. We further examine the relationship between eye-gaze and increased domain modeling with corresponding linguistic processing. Our empirical results show that the incorporation of eye-gaze significantly improves reference resolution performance. This improvement is most dramatic when a simple domain model is used. Our results also show that minimal domain modeling combined with eye-gaze significantly outperforms complex domain modeling without eye-gaze, which indicates that eye-gaze can be used to potentially compensate a lack of domain modeling for reference resolution.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
