Evaluation of an intelligent virtual assistant (chatbot) in cardiopulmonary resuscitation

Authors

  • Lucas Andrada Carrazzoni Goes Universidade Federal de Pernambuco
  • João Vitor de Amorim Silva Universidade Federal de Pernambuco
  • Amadeu Sá de Campos Filho Universidade Federal de Pernambuco

DOI:

https://doi.org/10.59681/2175-4411.v16.iEspecial.2024.1256

Keywords:

Health Education, Artificial Intelligence, Cardiopulmonary Resuscitation

Abstract

Objective: Evaluate a chatbot to assist in learning the Cardiopulmonary Resuscitation Procedure (CPR). Methods: Cross-sectional, prospective, analytical and observational study. Validation occurred through evaluation by experts, using the Content Validation Index (CVI) and the Delphi method. Validation by the end user occurred through usability evaluations, which used the Single Ease Question instrument, the System Usability Scale protocol and user experience, in which the User Experience Questionnaire was used. Results: The experts validated the chatbot's content using scores assigned to some questions, with an average CVI of 0.942. The calculated overall relative efficiency was 90.80% and satisfaction achieved excellent results, with a SUS score of 80.875. Conclusions: There was a high degree of agreement among professionals, a good increase in users' knowledge about CPR and few difficulties in using the chatbot, despite limiting factors.

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Published

2024-11-19

How to Cite

Goes, L. A. C., Silva, J. V. de A., & de Campos Filho, A. S. (2024). Evaluation of an intelligent virtual assistant (chatbot) in cardiopulmonary resuscitation. Journal of Health Informatics, 16(Especial). https://doi.org/10.59681/2175-4411.v16.iEspecial.2024.1256

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