The Effect of Emotional Context on Large Language Models' Endorsement of Premature Decisions: Comparing Emotional Vulnerability Across Six Commercial Models
Author1, Author2, Author3, Author4, Author5
Abstract
The study investigates how emotional context influences large language models' endorsement of premature decisions, revealing significant increases in endorsement strength when emotional expression is present.
Reality Card
Emotional context significantly increases the endorsement of premature decisions by large language models, with five out of six models showing a notable effect.
Emotional expression increased endorsement strength from 18.6 (neutral) to 31.5 (distress), a difference of +12.9 points.
The study's findings may not generalize across all models or emotional contexts, as only six models were tested.
Paper to code
Verified implementation resources so builders can test the paper’s claims instead of stopping at the abstract.