Related Experiment Video
Updated: Jun 16, 2025
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Assessing the Coherence of Parents' Short Narratives Regarding their Child Using the Five-Minute Speech Sample Procedure
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Language Use in Mother-Adolescent Dyadic Interaction: Preliminary Results
Laura A Cariola1, Saurabh Hinduja2, Maneesh Bilalpur3
1Clinical and Health Psychology, University of Edinburgh, Edinburgh, UK.
International Conference on Affective Computing and Intelligent Interaction and Workshops : [Proceedings]. ACII (Conference)
|August 20, 2024
Summary
This study used language analysis to identify mothers with a history of depression. Machine learning models achieved up to 67.15% accuracy, offering insights into maternal depression and child development.
Area of Science:
- Psychology
- Computational Linguistics
- Child Development
Background:
- Maternal depression can impact child development.
- Understanding linguistic markers of maternal depression is crucial for early intervention.
- Previous research has explored language patterns in depression.
Purpose of the Study:
- To evaluate the effectiveness of computer-assisted linguistic analysis in distinguishing mothers with and without a history of depression.
- To identify key linguistic features predictive of maternal depression history.
- To explore the potential impact of maternal linguistic style on child development and intergenerational depression transmission.
Main Methods:
- Quantitative linguistic analysis of recorded mother-child problem-solving interactions (n=140).
- Manual annotation and analysis using Linguistic Inquiry and Word Count (LIWC) software.
- Classification using Support Vector Machines (SVM) with interpretable features, including SHAP values.
Main Results:
- An initial SVM model achieved 63% accuracy using established linguistic features.
- A refined SVM model, utilizing the top 5 SHAP features, improved classification accuracy to 67.15%.
- Specific linguistic features were identified as important for discriminating between groups.
Conclusions:
- Computer-assisted linguistic analysis shows promise in identifying mothers with a history of depression.
- Linguistic style differences may reflect maternal depression status.
- Further research is warranted to explore the implications for child development and depression transmission.
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