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This is a Quantitative Study study.

September 17, 2025SensorsOpen Access

Predicting Empathy and Other Mental States During VR Sessions Using Sensor Data and Machine Learning

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This observational analysis predicts empathy levels in 105 participants using physiological data and machine learning models.

Machine learning models effectively predict empathy levels based on physiological responses, contributing to empathy research.
The Random Forest regressor achieved a mean absolute percentage error of 9.1% for predicting trait empathy.
Our predictive models achieved balanced accuracies of 79% for distinguishing empathic from non-empathic arousal.
Utilizing a unique dataset of VR videos enhances clinical applications, highlighting the significance of narrative context.

Kizhevska et al. (2025) studied this question.

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