The development of automated, unobtrusive measurement of pro- social indicators such as trust, empathy, liking and altruistic ten- dency in daily interactions is an unsolved problem in designing intelligent agents that socially interact with people. This work puts forward and tests a model for using emotional mimicry (matching of emotional displays/expressions) as a potential proxy measurement for the pro-social indicators above. For this purpose, a human-agent interaction experiment was conducted in a social context where the interacting agent belonged to a competitive in-group/out-group with the interacting person. Computer vision and Cross Recurrence Quantification Analysis (CRQA) were used to measure people’s mimicry of facial expressions in response to agent emotional stim- uli. We found that the emotional mimicry of sadness was positively correlated with the empathy that people felt towards the agent. We could not find sufficient support for the relationship of sad- ness mimicry with the other pro-social indicators, or happiness mimicry with any pro-social indicators; the reasons for this are investigated. The results suggest that with the accurate measure- ment of one’s emotions, it could be possible to measure emotional contagion/spread in context and, subsequently, one’s pro-social attitudes.
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