Using an <scp>AI</scp>‐Driven Child Chatbot Avatar as a Training Tool for Information Gathering Skills of Dental and Medical Professionals: A Pilot Study

ABSTRACT Healthcare professionals often receive limited training in information gathering, especially for cases of suspected child maltreatment. This pilot study evaluated a brief interview training program using an artificial intelligence‐driven child avatar chatbot to simulate realistic encounters with children. GPT‐3 and one‐shot prompting were used to simulate an 8‐year‐old girl who was allegedly subjected to violence. A pretest‐posttest design assessed the program's impact, with all participants ( n = 18) receiving a video lecture and indirect feedback on their questions based on the avatar's responses. One group ( n = 10) received direct feedback on their use of open and closed questions, along with examples after each interview. Results showed no significant improvement in interviewing behaviour, regardless of feedback condition. This study highlights the need for further development and tailoring of training programs to better support healthcare professionals in cases of suspected child abuse.

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Publication Details

Journal
Applied Cognitive Psychology
Published
2025-01-01
DOI
https://doi.org/10.1002/acp.70022
Citations
13
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
8.51

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article

Using an AI‐Driven Child Chatbot Avatar as a Training Tool for Information Gathering Skills of Dental and Medical Professionals: A Pilot Study

Gunn Astrid Baugerud, Unni Mette Stamnes Köpp, Hayley Ko, Miriam S. Johnson et al.
13 citations
Applied Cognitive Psychology
Artificial Intelligence in Healthcare and Education
8.51
article

Using an AI‐Driven Child Chatbot Avatar as a Training Tool for Information Gathering Skills of Dental and Medical Professionals: A Pilot Study

Gunn Astrid Baugerud, Unni Mette Stamnes Köpp, Hayley Ko, Miriam S. Johnson, Ewa Hovden
article en
13 citations

Abstract

ABSTRACT Healthcare professionals often receive limited training in information gathering, especially for cases of suspected child maltreatment. This pilot study evaluated a brief interview training program using an artificial intelligence‐driven child avatar chatbot to simulate realistic encounters with children. GPT‐3 and one‐shot prompting were used to simulate an 8‐year‐old girl who was allegedly subjected to violence. A pretest‐posttest design assessed the program's impact, with all participants ( n = 18) receiving a video lecture and indirect feedback on their questions based on the avatar's responses. One group ( n = 10) received direct feedback on their use of open and closed questions, along with examples after each interview. Results showed no significant improvement in interviewing behaviour, regardless of feedback condition. This study highlights the need for further development and tailoring of training programs to better support healthcare professionals in cases of suspected child abuse.

Applied Cognitive PsychologyVol. 39(1)
OsloMet – Oslo Metropolitan University (NO), University of Oslo (NO), Hospital of Southern Norway (NO)
Norges Forskningsråd
Peace, Justice and strong institutions
Openalex Percentile: Top 3%
Artificial Intelligence in Healthcare and Education
8.51
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