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Development and Evaluation of ClientBot: Patient-Like Conversational Agent to Train Basic Counseling Skills
Michael J Tanana1, Christina S Soma2, Vivek Srikumar3
1Social Research Institute, College of Social Work, University of Utah, Salt Lake City, UT, United States.
A new AI chatbot, ClientBot, provides real-time feedback to improve therapist training. This study shows practice with AI feedback significantly boosts counseling skills like reflections and overall listening abilities.
Area of Science:
- Psychology
- Artificial Intelligence
- Education
Background:
- Therapist training is costly and time-intensive.
- Current feedback methods are often subjective and limited.
- Skill development requires effective, performance-based feedback.
Purpose of the Study:
- To develop and assess a conversational AI agent for real-time therapist feedback.
- To evaluate the impact of AI-driven feedback on counseling skills acquisition.
Main Methods:
- Trained a text-based AI (ClientBot) on 2354 psychotherapy transcripts.
- 151 non-therapists practiced counseling skills with ClientBot.
- Participants received immediate AI feedback or initial education.
Main Results:
- ClientBot group showed significant increases in reflections and overall listening skills.
- Feedback improved skill usage during and after AI interaction.
- Some skills, like open questions, showed varied improvement.
Conclusions:
- AI-powered practice and feedback can enhance trainee therapists' core counseling skills.
- This study is a proof-of-concept for AI in therapist education.
- ClientBot demonstrates potential for scalable, objective feedback in training.
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