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Published on: May 3, 2016
AI-assisted vocal emotion analysis in forensic interview with children: an exploratory study
Yoonseo Lee1, Seho Maeng1, Yujin Kim1
1Dongduk Women's University, Seoul, Republic of Korea.
Frontiers in Psychology
|June 22, 2026
Summary
Artificial intelligence (AI) can analyze children's vocal biomarkers during forensic interviews to assess emotions. AI-assisted interviews showed higher anger indicators but did not increase overall child distress.
Area of Science:
- Forensic Psychology
- Artificial Intelligence
- Child Development
Background:
- Remote forensic interviews may limit nonverbal cues, impacting children's affective assessment.
- Artificial intelligence (AI) offers potential for analyzing vocal emotional biomarkers.
- Evaluating AI's role in assessing children's emotions during interviews is crucial.
Purpose of the Study:
- To determine if AI can identify children's emotional states via vocal biomarkers in forensic interviews.
- To compare AI-derived affective indices between AI-assisted and traditional interview settings.
- To assess the impact of AI-assisted interviews on children's emotional states.
Main Methods:
- Fifty-nine children (4-8 years) participated in simulated forensic interviews.
- AI analyzed vocal acoustic features from 2,084 recorded utterances post hoc.
- Speech emotion models estimated probabilities for happiness, anger, sadness, and neutral emotions.
Main Results:
- Anger probabilities and anger-to-sadness ratios were significantly higher in the AI-assisted condition.
- No significant increase in overall distress was observed in the AI-assisted group.
- Dominant happiness levels did not significantly differ between interview conditions.
Conclusions:
- AI-based vocal affect analysis can supplement observational tools in forensic interviews.
- AI-assisted interview conditions appear emotionally valid for children.
- AI offers a structured method for monitoring affective changes, especially when visual cues are limited.
Keywords:
AI-assisted interview toolartificial intelligencechild forensic interviewemotion recognitionforensic interviewingvocal emotion analysisMore Related Videos
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