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  1. Article: A Survey of Conversational Agents and Their Applications for Self-Management of Chronic Conditions.

    Park, Min Sook / Upama, Paramita Basak / Anik, Adib Ahmed / Ahamed, Sheikh Iqbal / Luo, Jake / Tian, Shiyu / Rabbani, Masud / Oh, Hyungkyoung

    Proceedings : Annual International Computer Software and Applications Conference. COMPSAC

    2023  Volume 2023, Page(s) 1064–1075

    Abstract: Conversational agents have gained their ground in our daily life and various domains including healthcare. Chronic condition self-management is one of the promising healthcare areas in which conversational agents demonstrate significant potential to ... ...

    Abstract Conversational agents have gained their ground in our daily life and various domains including healthcare. Chronic condition self-management is one of the promising healthcare areas in which conversational agents demonstrate significant potential to contribute to alleviating healthcare burdens from chronic conditions. This survey paper introduces and outlines types of conversational agents, their generic architecture and workflow, the implemented technologies, and their application to chronic condition self-management.
    Language English
    Publishing date 2023-08-02
    Publishing country United States
    Document type Journal Article
    DOI 10.1109/COMPSAC57700.2023.00162
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Towards Developing a Voice-activated Self-monitoring Application (VoiS) for Adults with Diabetes and Hypertension.

    Rabbani, Masud / Tian, Shiyu / Anik, Adib Ahmed / Luo, Jake / Park, Min Sook / Whittle, Jeff / Ahamed, Sheikh Iqbal / Oh, Hyunkyoung

    Proceedings : Annual International Computer Software and Applications Conference. COMPSAC

    2022  Volume 2022, Page(s) 512–519

    Abstract: The integration of motivational strategies and self-management theory with mHealth tools is a promising approach to changing the behavior of patients with chronic disease. In this manuscript, we describe the development and current architecture of a ... ...

    Abstract The integration of motivational strategies and self-management theory with mHealth tools is a promising approach to changing the behavior of patients with chronic disease. In this manuscript, we describe the development and current architecture of a prototype voice-activated self-monitoring application (VoiS) which is based on these theories. Unlike prior mHealth applications which require textual input, VoiS app relies on the more convenient and adaptable approach of asking users to verbally input markers of diabetes and hypertension control through a smart speaker. The VoiS app can provide real-time feedback based on these markers; thus, it has the potential to serve as a remote, regular, source of feedback to support behavior change. To enhance the usability and acceptability of the VoiS application, we will ask a diverse group of patients to use it in real-world settings and provide feedback on their experience. We will use this feedback to optimize tool performance, so that it can provide patients with an improved understanding of their chronic conditions. The VoiS app can also facilitate remote sharing of chronic disease control with healthcare providers, which can improve clinical efficacy and reduce the urgency and frequency of clinical care encounters. Because the VoiS app will be configured for use with multiple platforms, it will be more robust than existing systems with respect to user accessibility and acceptability.
    Language English
    Publishing date 2022-08-10
    Publishing country United States
    Document type Journal Article
    DOI 10.1109/compsac54236.2022.00095
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

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