Now, where was I? Resumption strategies for an in-vehicle dialogue system
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Using reinforcement learning to create communication channel management strategies for diverse users
SLPAT '10 Proceedings of the NAACL HLT 2010 Workshop on Speech and Language Processing for Assistive Technologies
An investigation of interruptions and resumptions in multi-tasking dialogues
Computational Linguistics
Interactions between human---human multi-threaded dialogues and driving
Personal and Ubiquitous Computing
| Hi-index | 0.00 |
The use of dialogue systems in vehicles raises the problem of making sure that the dialogue does not distract the driver from the primary task of driving. Earlier studies have indicated that humans are very apt at adapting the dialogue to the traffic situation and the cognitive load of the driver. The goal of this paper is to investigate strategies for interrupting and resuming in, as well as changing topic domain of, spoken human-human in-vehicle dialogue. The results show a large variety of strategies being used, and indicate that the choice of resumption and domain-switching strategy depends partly on the topic domain being resumed, and partly on the role of the speaker (driver or passenger). These results will be used as a basis for the development of dialogue strategies for interruption, resumption and domain-switching in the DICO in-vehicle dialogue system.