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    <titleInfo>
        <title>Causality Reasoning for Empathy-Enriched and Personality-Conditioned Spoken Dialogue System</title>
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    <name type="personal">
        <namePart type="given">Yahui</namePart>
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            <title>Proceedings of the 19th Annual Meeting of the Young Reseachers’ Roundtable on Spoken Dialogue Systems</title>
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        <name type="personal">
            <namePart type="given">Vojtech</namePart>
            <namePart type="family">Hudecek</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Patricia</namePart>
            <namePart type="family">Schmidtova</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Tanvi</namePart>
            <namePart type="family">Dinkar</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Javier</namePart>
            <namePart type="family">Chiyah-Garcia</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Weronika</namePart>
            <namePart type="family">Sieinska</namePart>
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            <publisher>Association for Computational Linguistics</publisher>
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    <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.</abstract>
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            <start>62</start>
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%0 Conference Proceedings
%T Causality Reasoning for Empathy-Enriched and Personality-Conditioned Spoken Dialogue System
%A Fu, Yahui
%Y Hudecek, Vojtech
%Y Schmidtova, Patricia
%Y Dinkar, Tanvi
%Y Chiyah-Garcia, Javier
%Y Sieinska, Weronika
%S Proceedings of the 19th Annual Meeting of the Young Reseachers’ Roundtable on Spoken Dialogue Systems
%D 2023
%8 September
%I Association for Computational Linguistics
%C Prague, Czechia
%F fu-2023-causality
%X 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.
%U https://aclanthology.org/2023.yrrsds-1.23
%P 62-63

Markdown (Informal)

[Causality Reasoning for Empathy-Enriched and Personality-Conditioned Spoken Dialogue System](https://aclanthology.org/2023.yrrsds-1.23) (Fu, YRRSDS-WS 2023)

• Causality Reasoning for Empathy-Enriched and Personality-Conditioned Spoken Dialogue System (Fu, YRRSDS-WS 2023)

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.