Health Care Social Robots in the Age of Generative AI: Protocol for a Scoping Review.

Journal: JMIR research protocols
PMID: 40227846

Abstract

BACKGROUND: Social robots (SR), sensorimotor machines designed to interact with humans, can help to respond to the increasing demands in the health care sector. To ensure the successful use of this technology, acceptance is paramount. Generative artificial intelligence (AI) is an emerging technology with the potential to enhance the functionality of SR and promote user acceptance by further improving human-robot interaction.

Authors

  • Paul Notger Lempe
    Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin & Humboldt-Universität zu Berlin, Berlin, Germany.
  • Camille Guinemer
    Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin & Humboldt-Universität zu Berlin, Berlin, Germany.
  • Daniel Fürstenau
    Department of Digitalization, Copenhagen Business School, Frederiksberg, Denmark.
  • Corinna Dressler
    Medical Library, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin & Humboldt-Universität zu Berlin, Berlin, Germany.
  • Felix Balzer
    Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charitéplatz 1, 10117, Berlin, Germany.
  • Thorsten Schaaf
    Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin & Humboldt-Universität zu Berlin, Berlin, Germany.

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