JSAI2024

Presentation information

Poster Session

Poster session » Poster session

[3Xin2] Poster session 1

Thu. May 30, 2024 11:00 AM - 12:40 PM Room X (Event hall 1)

[3Xin2-40] Engagement-motivated Goal-Oriented Dialogue Dataset for Sales Talk

〇Asahi Hentona1, Jun Baba1, Reina Akama2 (1.CyberAgent, 2.Tohoku University)

Keywords:Dialogue corpus, Engagement, Sales talk, Crowdsourcing

In this research, we propose a new concept of Engagement-motivated Goal-Oriented Dialogue (EGOD), a dialogue task designed to conversational objectives while incorporating three facets of user engagement: (1) willingness to continue a dialogue, (2) willingness to provide information, and (3) willingness to accept a dialogue goal.
Furthermore, we built a sales EGOD dataset for product sales and analyzed the dataset in order to realize an EGOD system.
We have constructed a high quality sales talk data set, as we confirm increased to user’s purchase intent in 58/98 dialogues.
Our analysis of the dataset suggests that avoiding utterances that decrease engagement is more important than making utterances that increase engagement in order to achieve the dialogue goal of increasing purchase intent.

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