Abstract
The author’s objective centers around developing a spoken dialogue system (SDS) that can emulate the cognitive and conversational qualities of a human friend. Key attributes such as empathy, knowledge/causality reasoning, and personality are integral components of human interaction. The proposed approach involves the creation of an Empathy-enriched SDS, capable of comprehending human emotions and circumstances, thus providing companionship and assistance akin to a trusted friend. Additionally, the Causality-reasoning for SDS aims to ground the system in commonsense knowledge and equip it with the ability to reason about causalities, such as predicting user desires/reactions and system intentions/reactions, thereby enhancing the system’s intelligence and human-like behavior. Finally, the concept of a Personality-conditioned SDS involves enabling systems to exhibit distinct personalities, further enhancing the naturalness of human-robot interaction.- Anthology ID:
- 2023.yrrsds-1.23
- 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:
- 62–63
- Language:
- URL:
- https://aclanthology.org/2023.yrrsds-1.23
- DOI:
- Cite (ACL):
- Yahui Fu. 2023. Causality Reasoning for Empathy-Enriched and Personality-Conditioned Spoken Dialogue System. In Proceedings of the 19th Annual Meeting of the Young Reseachers' Roundtable on Spoken Dialogue Systems, pages 62–63, Prague, Czechia. Association for Computational Linguistics.
- Cite (Informal):
- Causality Reasoning for Empathy-Enriched and Personality-Conditioned Spoken Dialogue System (Fu, YRRSDS-WS 2023)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/2023.yrrsds-1.23.pdf