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Updated: Apr 23, 2026

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
Published on: December 23, 2025
Advancing methods for reliably assessing motivational interviewing fidelity using the motivational interviewing
Sarah Peregrine Lord1, Doğan Can2, Michael Yi3
1Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.
This study introduces new methods for coding Motivational Interviewing (MI) fidelity at the utterance level, offering more accurate reliability assessments than traditional session tallies for alcohol and drug use interventions.
Area of Science:
- Psychology
- Behavioral Science
- Clinical Research
Background:
- Motivational Interviewing (MI) is a key intervention for substance use disorders.
- Accurate fidelity assessment is crucial for MI effectiveness and therapist training.
- Traditional reliability measures may not capture the nuances of MI interactions.
Purpose of the Study:
- To present novel methods for collecting MISC (Miller-Johnson Coding System) data at the utterance level.
- To accurately assess the reliability of behavior codes at the utterance level.
- To compare utterance-based reliability estimates with traditional session tally methods.
Main Methods:
- Utilized the MISC 2.1 to code MI interviews from five randomized trials.
- Coded sessions at the utterance level.
- Estimated utterance-based coding reliability using three novel methods and compared to session tallies.
Main Results:
- Session-level reliability estimates were generally higher than those derived from utterance-based codes.
- Traditional methods for assessing MISC reliability may be biased.
- Novel methods provide richer data for therapist feedback and analysis.
Conclusions:
- Utterance-level coding offers a more granular and potentially less biased approach to MI fidelity assessment.
- These methods can significantly inform therapist feedback and MI practice.
- Further research into utterance-level coding may enhance theories of change in MI.
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