Embodied conversational agents for shared decision-making: a scoping review protocol

  • 0School of Nursing, Beijing University of Chinese Medicine, Beijing, China.

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Summary

This summary is machine-generated.

This scoping review protocol outlines the synthesis of evidence on embodied conversational agents (ECAs) for promoting shared decision-making (SDM) in patient care. It details methods for identifying ECA features, applications, and evaluations in clinical settings.

Area Of Science

  • Human-Computer Interaction
  • Artificial Intelligence in Healthcare
  • Health Communication

Background

  • Embodied conversational agents (ECAs) simulate human-like interactions, offering potential for empathic patient engagement.
  • ECAs can facilitate shared decision-making (SDM) by improving patient-provider communication.
  • Existing evidence on ECA development and application in SDM requires systematic synthesis.

Purpose Of The Study

  • To conduct a scoping review to identify and present evidence on ECAs for promoting SDM.
  • To analyze key features of ECAs, including appearance, dialogue mechanisms, and emotional models.
  • To examine the implementation and evaluation of ECAs in clinical settings.

Main Methods

  • Employing the Arksey and O'Malley framework for the scoping review.
  • Systematic retrieval of literature from seven major databases (PubMed, EMBASE, PsycINFO, Web of Science, CINAHL, IEEE Xplore, ACM Digital Library).
  • Independent literature screening and data extraction by two researchers, with results presented via narrative abstracts, tables, and figures.

Main Results

  • This section will present the findings of the scoping review once data extraction is complete.
  • The review will identify trends in ECA design, application, and effectiveness in SDM.
  • Key themes regarding implementation challenges and facilitators in clinical settings will be highlighted.

Conclusions

  • This review will provide a comprehensive overview of the current evidence base for ECAs in SDM.
  • Findings will inform future research and development of ECAs to enhance patient engagement and shared decision-making.
  • The study aims to guide the effective integration of ECAs into clinical practice to support SDM.

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