This research explores how machine learning predicts empathy levels in virtual reality users, suggesting new avenues for understanding emotional responses.
Key Points
Empathy levels were predicted using machine learning models during virtual reality exposure.
The Random Forest regressor achieved a mean absolute percentage error of 9.1% for trait empathy prediction.
Non-empathic arousal was detected with 78% balanced accuracy using predictive models in immersive VR.
This research introduces an innovative method for objectively assessing empathy, enhancing empathy studies.