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Empathy02:34

Empathy

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Some researchers suggest that altruism operates on empathy. Empathy is the capacity to understand another person’s perspective, to feel what he or she feels. An empathetic person makes an emotional connection with others and feels compelled to help (Batson, 1991). Empathy can be expressed in several ways, including cognitive, affective, and motor. 
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Protocol of the study for predicting empathy during VR sessions using sensor data and machine learning.

Emilija Kizhevska1,2, Kristina Šparemblek1, Mitja Luštrek1,2

  • 1Department of Intelligent Systems, Jožef Stefan Institute, Ljubljana, Slovenia.

Plos One
|July 18, 2024
PubMed
Summary
This summary is machine-generated.

Virtual reality (VR) technology enhances empathy by immersing users in diverse emotional scenarios. This study develops a machine learning model to predict empathy levels from physiological responses during VR experiences.

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Area of Science:

  • Psychology
  • Computer Science
  • Human-Computer Interaction

Background:

  • Virtual reality (VR) is recognized for its potential to foster empathy.
  • Existing empathy assessment methods lack a universal standard.
  • Understanding the physiological correlates of empathy is crucial.

Purpose of the Study:

  • To investigate the relationship between self-reported empathy and physiological changes during VR immersion.
  • To develop a machine learning model for predicting empathy levels from physiological data.
  • To explore emotional responses, gender differences, and narrative context in empathy.

Main Methods:

  • Participants experienced 3D 360° VR videos with actors displaying various emotions.
  • Empathy levels were measured via self-report questionnaires.
  • Physiological attributes were recorded using sensors during VR exposure.

Main Results:

  • A machine learning model was developed to predict empathy based on physiological responses.
  • The study identified correlations between specific emotions, physiological changes, and empathy levels.
  • Insights into gender differences and the influence of narrative context were gained.

Conclusions:

  • VR immersion can elicit measurable physiological changes related to empathy.
  • The developed machine learning model offers a novel approach to empathy assessment.
  • This research contributes to understanding empathy's psychophysiological underpinnings and enhances VR's role in empathy research.