Papers by Masahiro Mizukami

2 papers
Comparison of the Intimacy Process between Real and Acting-based Long-term Text Chats (2024.lrec-main)

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Challenge: Recent open-domain chatbots can generate natural responses over multiple turns using large-scale language models, but they do not address the speaker intimacy process and thus cannot sustain natural dialogue over multiple days and weeks.
Approach: They propose to train systems with multi-session chat data to simulate relationship-building between speakers.
Outcome: The proposed multi-session chat data can simulate relationship-building between speakers but has not been tested in Japanese.
Dialogue Scenario Collection of Persuasive Dialogue with Emotional Expressions via Crowdsourcing (L18-1)

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Challenge: Existing methods for data collection and annotation are costly and prevent launching new dialogue systems.
Approach: They asked crowd workers to create persuasive dialogue systems using emotional expressions . they annotated emotional states and users' acceptance for system persuasion .
Outcome: The proposed system has sufficient agreement even without training, the researchers found . the experiment showed that the collected data are comparable to real-world dialogue recording methods .

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