Subjective Evaluation of Generative AI-Driven Dialogues in Paired Dyadic and Topic-Sharing Triadic Interaction Structures

Subjective Evaluation of Generative AI-Driven Dialogues in Paired Dyadic and Topic-Sharing Triadic Interaction Structures

As the linguistic capabilities of dialogue systems improve, the importance of how they interact with humans and build trustworthy relationships is increasing. This study investigated the effect of interaction structures in a generative AI-driven dialogue system to improve relationships through inter...

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Bibliographic Details
Main Authors: Kaori Abe, Changqin Quan, Sheng Cao, Zhiwei Luo
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Applied Sciences
Subjects:
dialogue system
generative AI
human–computer interaction
dyadic interaction
triadic interaction
interaction structure
Online Access:https://www.mdpi.com/2076-3417/15/9/5092
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