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        <title>How Do Conversational Agents in Healthcare Impact on Patient Agency?</title>
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            <title>Proceedings of the 1st Worskhop on Towards Ethical and Inclusive Conversational AI: Language Attitudes, Linguistic Diversity, and Language Rights (TEICAI 2024)</title>
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        <name type="personal">
            <namePart type="given">Nina</namePart>
            <namePart type="family">Hosseini-Kivanani</namePart>
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            <namePart type="given">Sviatlana</namePart>
            <namePart type="family">Höhn</namePart>
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        <name type="personal">
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            <namePart type="family">Anastasiou</namePart>
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            <namePart type="family">Migge</namePart>
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        <name type="personal">
            <namePart type="given">Angela</namePart>
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        <name type="personal">
            <namePart type="given">Ekaterina</namePart>
            <namePart type="family">Kamlovskaya</namePart>
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            <namePart type="given">Fred</namePart>
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    <abstract>In healthcare, agency refers to the ability of patients to actively participate in and control their health through collaborating with providers, informed decision-making and understanding health information. Conversational agents (CAs) are increasingly used for realizing digital health interventions, but it is still unclear how they are enhancing patient agency. This paper explores which technological components are required to enable CAs impacting on patient agency, and identifies metrics for measuring and evaluating this impact. We do this by drawing on existing work related to developing and evaluating healthcare CAs and through analysis of a concrete example of a CA. As a result, we identify five main areas where CAs enhance patient agency, namely by: improved access to health information, personalized advice, increased engagement, emotional support and reduced barriers to care. For each of these areas, specific technological functions have to be integrated into CAs such as sentiment and emotion analysis methods that allow a CA to support emotionally.</abstract>
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%0 Conference Proceedings
%T How Do Conversational Agents in Healthcare Impact on Patient Agency?
%A Denecke, Kerstin
%Y Hosseini-Kivanani, Nina
%Y Höhn, Sviatlana
%Y Anastasiou, Dimitra
%Y Migge, Bettina
%Y Soltan, Angela
%Y Dippold, Doris
%Y Kamlovskaya, Ekaterina
%Y Philippy, Fred
%S Proceedings of the 1st Worskhop on Towards Ethical and Inclusive Conversational AI: Language Attitudes, Linguistic Diversity, and Language Rights (TEICAI 2024)
%D 2024
%8 March
%I Association for Computational Linguistics
%C St Julians, Malta
%F denecke-2024-conversational
%X In healthcare, agency refers to the ability of patients to actively participate in and control their health through collaborating with providers, informed decision-making and understanding health information. Conversational agents (CAs) are increasingly used for realizing digital health interventions, but it is still unclear how they are enhancing patient agency. This paper explores which technological components are required to enable CAs impacting on patient agency, and identifies metrics for measuring and evaluating this impact. We do this by drawing on existing work related to developing and evaluating healthcare CAs and through analysis of a concrete example of a CA. As a result, we identify five main areas where CAs enhance patient agency, namely by: improved access to health information, personalized advice, increased engagement, emotional support and reduced barriers to care. For each of these areas, specific technological functions have to be integrated into CAs such as sentiment and emotion analysis methods that allow a CA to support emotionally.
%U https://aclanthology.org/2024.teicai-1.1
%P 1-8

Markdown (Informal)

[How Do Conversational Agents in Healthcare Impact on Patient Agency?](https://aclanthology.org/2024.teicai-1.1) (Denecke, TEICAI-WS 2024)

• How Do Conversational Agents in Healthcare Impact on Patient Agency? (Denecke, TEICAI-WS 2024)

ACL

• Kerstin Denecke. 2024. How Do Conversational Agents in Healthcare Impact on Patient Agency?. In Proceedings of the 1st Worskhop on Towards Ethical and Inclusive Conversational AI: Language Attitudes, Linguistic Diversity, and Language Rights (TEICAI 2024), pages 1–8, St Julians, Malta. Association for Computational Linguistics.