Investigating the Effect of Conveying Understanding Results in Chat-Oriented Dialogue Systems

Koh Mitsuda, Ryuichiro Higashinaka, Junji Tomita


Abstract
In dialogue systems, conveying understanding results of user utterances is important because it enables users to feel understood by the system. However, it is not clear what types of understanding results should be conveyed to users; some utterances may be offensive and some may be too commonsensical. In this paper, we explored the effect of conveying understanding results of user utterances in a chat-oriented dialogue system by an experiment using human subjects. As a result, we found that only certain types of understanding results, such as those related to a user’s permanent state, are effective to improve user satisfaction. This paper clarifies the types of understanding results that can be safely uttered by a system.
Anthology ID:
I17-2066
Volume:
Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
Month:
November
Year:
2017
Address:
Taipei, Taiwan
Venue:
IJCNLP
SIG:
Publisher:
Asian Federation of Natural Language Processing
Note:
Pages:
389–394
Language:
URL:
https://aclanthology.org/I17-2066
DOI:
Bibkey:
Cite (ACL):
Koh Mitsuda, Ryuichiro Higashinaka, and Junji Tomita. 2017. Investigating the Effect of Conveying Understanding Results in Chat-Oriented Dialogue Systems. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 389–394, Taipei, Taiwan. Asian Federation of Natural Language Processing.
Cite (Informal):
Investigating the Effect of Conveying Understanding Results in Chat-Oriented Dialogue Systems (Mitsuda et al., IJCNLP 2017)
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PDF:
https://aclanthology.org/I17-2066.pdf