Designing and Evaluating an Adaptive Spoken Dialogue System
User Modeling and User-Adapted Interaction
Information state and dialogue management in the TRINDI dialogue move engine toolkit
Natural Language Engineering
Towards developing general models of usability with PARADISE
Natural Language Engineering
Incremental generation of spatial referring expressions in situated dialog
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
The roles of haptic-ostensive referring expressions in cooperative, task-based human-robot dialogue
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
MultiML: a general purpose representation language for multimodal human utterances
ICMI '08 Proceedings of the 10th international conference on Multimodal interfaces
Journal of Artificial Intelligence Research
Evaluating description and reference strategies in a cooperative human-robot dialogue system
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Comparing objective and subjective measures of usability in a human-robot dialogue system
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
Computational generation of referring expressions: A survey
Computational Linguistics
Evaluating supportive and instructive robot roles in human-robot interaction
ICSR'11 Proceedings of the Third international conference on Social Robotics
Two people walk into a bar: dynamic multi-party social interaction with a robot agent
Proceedings of the 14th ACM international conference on Multimodal interaction
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We present the situated reference generation module of a hybrid human-robot interaction system that collaborates with a human user in assembling target objects from a wooden toy construction set. The system contains a sub-symbolic goal inference system which is able to detect the goals and errors of humans by analysing their verbal and non-verbal behaviour. The dialogue manager and reference generation components then use situated references to explain the errors to the human users and provide solution strategies. We describe a user study comparing the results from subjects who heard constant references to those who heard references generated by an adaptive process. There was no difference in the objective results across the two groups, but the subjects in the adaptive condition gave higher subjective ratings to the robot's abilities as a conversational partner. An analysis of the objective and subjective results found that the main predictors of subjective user satisfaction were the user's performance at the assembly task and the number of times they had to ask for instructions to be repeated.