Negative and Positive Body-Related Emotions Derived From Voice Recordings During a Mirror Task in Anorexia and Bulimia Nervosa: A Natural Language Processing Approach Using RoBERTa
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View abstract on PubMed
Summary
This summary is machine-generated.Women with eating disorders experience more negative emotions like disgust and less positive emotions when viewing themselves in a mirror. Disgust specifically predicts eating disorder symptom severity, suggesting interventions should foster positive emotions.
Area Of Science
- Psychology
- Clinical Psychology
- Artificial Intelligence in Healthcare
Background
- Body dissatisfaction is linked to various emotions, but self-report limitations in eating disorder (ED) populations necessitate objective measures.
- Natural language processing (NLP) offers a promising avenue for analyzing speech content to understand emotions in individuals with EDs.
Purpose Of The Study
- To utilize artificial intelligence (AI) and NLP to identify specific body-related emotions expressed during mirror exposure in women with EDs.
- To compare emotion expression between women with anorexia nervosa (AN), bulimia nervosa (BN), and healthy controls.
Main Methods
- 132 women (24 AN, 36 BN, 72 healthy) underwent a 3-minute mirror exposure task, vocalizing emotions.
- Audio recordings were transcribed and analyzed using the GermanEmotions AI model to detect 28 distinct emotions.
- Statistical analyses (ANOVAs) identified group differences, and regression analysis explored emotion prediction of ED symptom severity.
Main Results
- Women with AN and BN reported significantly more negative emotions (e.g., disgust, sadness, fear) and significantly fewer positive emotions (e.g., joy, pride, admiration) compared to healthy controls.
- Higher levels of disgust expression were a significant predictor of increased eating disorder symptom severity across all groups.
- Specific patterns of negative and diminished positive emotions distinguished ED groups from controls.
Conclusions
- A unique profile of body-related emotions characterizes women with AN and BN.
- Interventions for body dissatisfaction in EDs may be more effective if they focus on cultivating positive emotions alongside reducing negative ones.
- AI-driven emotion analysis provides valuable insights into the emotional experiences of individuals with eating disorders.
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