Modelling Adaptive Presentations in Human-Robot Interaction using Behaviour Trees

Nils Axelsson, Gabriel Skantze


Abstract
In dialogue, speakers continuously adapt their speech to accommodate the listener, based on the feedback they receive. In this paper, we explore the modelling of such behaviours in the context of a robot presenting a painting. A Behaviour Tree is used to organise the behaviour on different levels, and allow the robot to adapt its behaviour in real-time; the tree organises engagement, joint attention, turn-taking, feedback and incremental speech processing. An initial implementation of the model is presented, and the system is evaluated in a user study, where the adaptive robot presenter is compared to a non-adaptive version. The adaptive version is found to be more engaging by the users, although no effects are found on the retention of the presented material.
Anthology ID:
W19-5940
Volume:
Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue
Month:
September
Year:
2019
Address:
Stockholm, Sweden
Venues:
SIGDIAL | WS
SIG:
SIGDIAL
Publisher:
Association for Computational Linguistics
Note:
Pages:
345–352
Language:
URL:
https://www.aclweb.org/anthology/W19-5940
DOI:
10.18653/v1/W19-5940
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PDF:
http://aclanthology.lst.uni-saarland.de/W19-5940.pdf