August 1, 2025Open Access

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

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Authors

EKEmilija KizhevskaJožef Stefan Institute HGHristijan GjoreskiUniversity of Sussex MLMitja LuštrekJožef Stefan Institute

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Implication

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.

Cite This Study

Kizhevska et al. (2025) studied this question.

synapsesocial.com/papers/689a0c65e6551bb0af8cfac0 https://doi.org/10.20944/preprints202507.2416.v1

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Implication

This research explores how machine learning predicts empathy levels in virtual reality users, suggesting new avenues for understanding emotional responses.

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

Discussion

Member takes

Implication

Key Points

Cite This Study

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

Discussion

Member takes

Implication

Key Points

Cite This Study

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