Abstract
Empathy is the basis of people's social lives. However, the mechanism has not yet been fully elucidated because
it is a complex phenomenon consisting of subjectivity, physiology, and behavior. The purpose of this study is to
quantify empathy from a multifaceted point of view considering individual differences. We examined how
physiology, behavior and cognition are related in an individual, and how they are shared with other individuals. In
order to deal with the large individual difference in the subjective judgment, we built a computational model that
explains the individual difference from their personality traits, exploiting the wisdom of the group approach which
aggregates the judgment of multiple individuals. This kind of framework for quantitative measurement of empathy
including individual differences will make it possible to assess and predict the effects of interventions that promote
empathy tailored to individuals. We believe this is an essential step toward improving human well-being.
Shiro Kumano, Sensory Resonance Research Group, Human Information Science Laboratory
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