ProDial – An Annotated Proactive Dialogue Act Corpus for Conversational Assistants using Crowdsourcing

Matthias Kraus, Nicolas Wagner, Wolfgang Minker


Abstract
Robots will eventually enter our daily lives and assist with a variety of tasks. Especially in the household domain, robots may become indispensable helpers by overtaking tedious tasks, e.g. keeping the place tidy. Their effectiveness and efficiency, however, depend on their ability to adapt to our needs, routines, and personal characteristics. Otherwise, they may not be accepted and trusted in our private domain. For enabling adaptation, the interaction between a human and a robot needs to be personalized. Therefore, the robot needs to collect personal information from the user. However, it is unclear how such sensitive data can be collected in an understandable way without losing a user’s trust in the system. In this paper, we present a conversational approach for explicitly collecting personal user information using natural dialogue. For creating a sound interactive personalization, we have developed an empathy-augmented dialogue strategy. In an online study, the empathy-augmented strategy was compared to a baseline dialogue strategy for interactive personalization. We have found the empathy-augmented strategy to perform notably friendlier. Overall, using dialogue for interactive personalization has generally shown positive user reception.
Anthology ID:
2022.lrec-1.339
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
3164–3173
Language:
URL:
https://aclanthology.org/2022.lrec-1.339
DOI:
Bibkey:
Cite (ACL):
Matthias Kraus, Nicolas Wagner, and Wolfgang Minker. 2022. ProDial – An Annotated Proactive Dialogue Act Corpus for Conversational Assistants using Crowdsourcing. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 3164–3173, Marseille, France. European Language Resources Association.
Cite (Informal):
ProDial – An Annotated Proactive Dialogue Act Corpus for Conversational Assistants using Crowdsourcing (Kraus et al., LREC 2022)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-1/2022.lrec-1.339.pdf
Data
MultiWOZ