Experts' Views on Artifical Intelligence‐Based Child Chatbots to Train Investigative Interviewing Skills

ABSTRACT High‐quality training involving interactivity, spaced practice, and feedback is necessary to foster lasting skills in investigative interviewing. Technological advancements have yielded the possibility of using intelligent chatbots for interviewers to practice skills; but to be useful, such tools must offer quality learning experiences. In the present study, 28 interview trainers and professionals with related experience tested a chatbot for 10 min. The participants were then interviewed regarding the chatbot's utility. The professionals reflected on the learning elements and user experience. They appreciated the self‐paced and reflective nature of the tool, including its ability to provide feedback. The participants' concerns–for the current chatbot and the use of AI in training more broadly–included the need for the tool to simulate learning goals and offer nuanced experiences and feedback. The participants' insights offer important considerations for the use of intelligent chatbots for skills training as the technology advances.

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Publication Details

Journal
Applied Cognitive Psychology
Published
2025-03-01
DOI
https://doi.org/10.1002/acp.70048
Citations
6
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
3.93

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article

Experts' Views on Artifical Intelligence‐Based Child Chatbots to Train Investigative Interviewing Skills

Gunn Astrid Baugerud, Marco Cano, Miriam S. Johnson, Sonja P. Brubacher et al.
6 citations
Applied Cognitive Psychology
Artificial Intelligence in Healthcare and Education
3.93
article

Experts' Views on Artifical Intelligence‐Based Child Chatbots to Train Investigative Interviewing Skills

Gunn Astrid Baugerud, Marco Cano, Miriam S. Johnson, Sonja P. Brubacher, Syed Zohaib Hassan, Pål Halvorsen, Martine B. Powell, Michael A. Riegler
article en
6 citations

Abstract

ABSTRACT High‐quality training involving interactivity, spaced practice, and feedback is necessary to foster lasting skills in investigative interviewing. Technological advancements have yielded the possibility of using intelligent chatbots for interviewers to practice skills; but to be useful, such tools must offer quality learning experiences. In the present study, 28 interview trainers and professionals with related experience tested a chatbot for 10 min. The participants were then interviewed regarding the chatbot's utility. The professionals reflected on the learning elements and user experience. They appreciated the self‐paced and reflective nature of the tool, including its ability to provide feedback. The participants' concerns–for the current chatbot and the use of AI in training more broadly–included the need for the tool to simulate learning goals and offer nuanced experiences and feedback. The participants' insights offer important considerations for the use of intelligent chatbots for skills training as the technology advances.

Applied Cognitive PsychologyVol. 39(2)
Griffith University (AU), OsloMet – Oslo Metropolitan University (NO), Simula Metropolitan Center for Digital Engineering (NO)
Griffith University, Norges Forskningsråd
Openalex Percentile: Top 6%
Artificial Intelligence in Healthcare and Education
3.93
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