Abstract
Large language models (LLMs) have brought about a significant transformation in spoken dialogue systems (SDSs). It is anticipated that these systems will be implemented into diverse robotic applications and employed in a variety of social settings. The author presents research interest with the aim of realizing social SDSs from multiple perspectives, including task design, turn-taking mechanisms, and evaluation methodologies. Additionally, future research in social SDSs should delve into a deeper understanding of user mental states and a relationship with society via multi-party conversations. Finally, the author suggests topics for discussion regarding the future directions of SDS researchers in the LLM era.- Anthology ID:
- 2023.yrrsds-1.8
- Volume:
- Proceedings of the 19th Annual Meeting of the Young Reseachers' Roundtable on Spoken Dialogue Systems
- Month:
- September
- Year:
- 2023
- Address:
- Prague, Czechia
- Editors:
- Vojtech Hudecek, Patricia Schmidtova, Tanvi Dinkar, Javier Chiyah-Garcia, Weronika Sieinska
- Venues:
- YRRSDS | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 24–25
- Language:
- URL:
- https://aclanthology.org/2023.yrrsds-1.8
- DOI:
- Cite (ACL):
- Koji Inoue. 2023. Challenges and Approaches in Designing Social SDS in the LLM Era. In Proceedings of the 19th Annual Meeting of the Young Reseachers' Roundtable on Spoken Dialogue Systems, pages 24–25, Prague, Czechia. Association for Computational Linguistics.
- Cite (Informal):
- Challenges and Approaches in Designing Social SDS in the LLM Era (Inoue, YRRSDS-WS 2023)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2023.yrrsds-1.8.pdf