Chat, Shift and Perform: Bridging the Gap between Task-oriented and Non-task-oriented Dialog Systems
Teppei Yoshino, Yosuke Fukuchi, Shoya Matsumori, Michita Imai

TL;DR
CASPER is a novel dialog system that integrates chat, topic shifting, and task performance models to create more natural and satisfying conversations by seamlessly transitioning between open-domain and task-oriented dialogs.
Contribution
The paper introduces CASPER, a three-component dialog system that effectively bridges non-task and task-oriented conversations, demonstrating improved naturalness and user satisfaction.
Findings
CASPER outperforms baseline systems in naturalness and satisfaction.
Topic shifting via shifter enhances task-elicitation rates.
Removing shifter reduces dialog quality and task success.
Abstract
We propose CASPER (ChAt, Shift and PERform), a novel dialog system consisting of three types of dialog models: chatter, shifter, and performer. Shifter, which is designed for topic switching, enables a seamless flow of dialog from open-domain chat- to task-oriented dialog. In a user study, CASPER gave a better impression in terms of naturalness of response, lack of forced topic switching, and satisfaction compared with a baseline dialog system trained in an end-to-end manner. In an ablation study, we found that naturalness of response, dialog satisfaction, and task-elicitation rate improved compared with when shifter was removed from CASPER, indicating that topic shift with shifter supports the introduction of natural task-oriented dialog.
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Taxonomy
TopicsSpeech and dialogue systems · Innovative Teaching and Learning Methods · AI in Service Interactions
