A Ranking Model for Evaluation of Conversation Partners Based on Rapport Levels

A Ranking Model for Evaluation of Conversation Partners Based on Rapport Levels

Our proposed ranking model ranks conversation partners based on self-reported rapport levels for each participant. The model is important for tasks that recommend interaction partners based on user rapport built in past interactions, such as matchmaking between a student and a teacher in one-to-one...

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Bibliographic Details
Main Authors: Takato Hayashi, Candy Olivia Mawalim, Ryo Ishii, Akira Morikawa, Atsushi Fukayama, Takao Nakamura, Shogo Okada
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Affective state
dyadic interaction
multimodal signal processing
preference learning
ranking model
rapport
Online Access:https://ieeexplore.ieee.org/document/10158500/

Internet

https://ieeexplore.ieee.org/document/10158500/

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