Assessing Interactional Competence with Multimodal Dialog Systems

Mao Saeki


Abstract
My research interests lie in multimodal dialog systems, especially in turn-taking and the understanding and generation of non-verbal cues. I am also interested in bringing dialog system research into industry, and making virtual agents practical in real world setting. I have been working on the Intelligent Language Learning Assistant (InteLLA) system, a virtual agent designed to provide fully automated English proficiency assessments through oral conversations. This project is driven by the practical need to address the lack of opportunities for second-language learners to assess and practice their conversation skills.
Anthology ID:
2024.yrrsds-1.7
Volume:
Proceedings of the 20th Workshop of Young Researchers' Roundtable on Spoken Dialogue Systems
Month:
September
Year:
2024
Address:
Kyoto, Japan
Editors:
Koji Inoue, Yahui Fu, Agnes Axelsson, Atsumoto Ohashi, Brielen Madureira, Yuki Zenimoto, Biswesh Mohapatra, Armand Stricker, Sopan Khosla
Venues:
YRRSDS | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
18–20
Language:
URL:
https://aclanthology.org/2024.yrrsds-1.7
DOI:
Bibkey:
Cite (ACL):
Mao Saeki. 2024. Assessing Interactional Competence with Multimodal Dialog Systems. In Proceedings of the 20th Workshop of Young Researchers' Roundtable on Spoken Dialogue Systems, pages 18–20, Kyoto, Japan. Association for Computational Linguistics.
Cite (Informal):
Assessing Interactional Competence with Multimodal Dialog Systems (Saeki, YRRSDS-WS 2024)
Copy Citation:
PDF:
https://aclanthology.org/2024.yrrsds-1.7.pdf