Towards generating spatial referring expressions in a social robot: Dynamic vs non-ambiguous

Wallbridge, Christopher D.; Lemaignan, S�verin; Senft, Emmanuel; Belpaeme, Tony

Abstract

© 2019 IEEE. We present in this paper our work towards a new dynamic method of generating spatial referring expressions. While people are generally ambiguous in their description of locations, previous methods of artificial generation mostly considered non-ambiguous descriptions. However, to increase the naturalness of interaction and share workload in the communication, robots should be able to generate language in a more dynamic way. Our method initially produces ambiguous spatial referring expressions followed by dynamically generating repair statements. We built a classifier using data from 18 participants as they described locations to each other. We perform a preliminary analysis on this method using two further pilot studies.

• Presentation Conference Type: Conference Paper (published)
• Conference Name: ACM/IEEE International Conference on Human-Robot Interaction
• Acceptance Date: Nov 1, 2018
• Publication Date: Mar 22, 2019
• Deposit Date: Nov 26, 2019
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Volume: 2019-March
• Pages: 616-617
• Series ISSN: 2167-2148
• Book Title: Proceedings of the 2019 ACM/IEEE Human-Robot Interaction Conference
• ISBN: 9781538685556
• DOI: https://doi.org/10.1109/HRI.2019.8673285
• Public URL: https://uwe-repository.worktribe.com/output/4742954