A constraint-based model for cooperative response generation in information dialogues
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
DATE: a dialogue act tagging scheme for evaluation of spoken dialogue systems
HLT '01 Proceedings of the first international conference on Human language technology research
Quantitative and qualitative evaluation of Darpa Communicator spoken dialogue systems
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Flexible guidance generation using user model in spoken dialogue systems
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
An intelligent procedure assistant built using REGULUS 2 and ALTERF
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 2
Wired for Speech: How Voice Activates and Advances the Human-Computer Relationship
Wired for Speech: How Voice Activates and Advances the Human-Computer Relationship
Developing a flexible spoken dialog system using simulation
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Evaluating information presentation strategies for spoken recommendations
Proceedings of the 2007 ACM conference on Recommender systems
Automatic annotation of context and speech acts for dialogue corpora
Natural Language Engineering
A personalized system for conversational recommendations
Journal of Artificial Intelligence Research
An empirical study of the influence of user tailoring on evaluative argument effectiveness
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Interactive question answering and constraint relaxation in spoken dialogue systems
SigDIAL '06 Proceedings of the 7th SIGdial Workshop on Discourse and Dialogue
Evaluating the effectiveness of information presentation in a full end-to-end dialogue system
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Computer Speech and Language
Generating tailored, comparative descriptions with contextually appropriate intonation
Computational Linguistics
Computer Speech and Language
Hi-index | 0.00 |
In spoken dialog systems, information must be presented sequentially, making it difficult to quickly browse through a large number of options. Recent studies have shown that user satisfaction is negatively correlated with dialog duration, suggesting that systems should be designed to maximize the efficiency of the interactions. Analysis of the logs of 2,000 dialogs between users and nine different dialog systems reveals that a large percentage of the time is spent on the information presentation phase, thus there is potentially a large pay-off to be gained from optimizing information presentation in spoken dialog systems. This article proposes a method that improves the efficiency of coping with large numbers of diverse options by selecting options and then structuring them based on a model of the user's preferences. This enables the dialog system to automatically determine trade-offs between alternative options that are relevant to the user and present these trade-offs explicitly. Multiple attractive options are thereby structured such that the user can gradually refine her request to find the optimal trade-off. To evaluate and challenge our approach, we conducted a series of experiments that test the effectiveness of the proposed strategy. Experimental results show that basing the content structuring and content selection process on a user model increases the efficiency and effectiveness of the user's interaction. Users complete their tasks more successfully and more quickly. Furthermore, user surveys revealed that participants found that the user-model based system presents complex trade-offs understandably and increases overall user satisfaction. The experiments also indicate that presenting users with a brief overview of options that do not fit their requirements significantly improves the user's overview of available options, also making them feel more confident in having been presented with all relevant options.