@inproceedings{fu-2023-causality,
    title = "Causality Reasoning for Empathy-Enriched and Personality-Conditioned Spoken Dialogue System",
    author = "Fu, Yahui",
    editor = "Hudecek, Vojtech  and
      Schmidtova, Patricia  and
      Dinkar, Tanvi  and
      Chiyah-Garcia, Javier  and
      Sieinska, Weronika",
    booktitle = "Proceedings of the 19th Annual Meeting of the Young Reseachers' Roundtable on Spoken Dialogue Systems",
    month = sep,
    year = "2023",
    address = "Prague, Czechia",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2023.yrrsds-1.23/",
    pages = "62--63",
    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 \textbf{Empathy-enriched SDS}, capable of comprehending human emotions and circumstances, thus providing companionship and assistance akin to a trusted friend. Additionally, the \textbf{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 \textbf{Personality-conditioned SDS} involves enabling systems to exhibit distinct personalities, further enhancing the naturalness of human-robot interaction."
}