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Kret, M.

Publications and source records attributed to Kret, M..

2 recordsLinked to original sources

Priming using Human and Chimpanzee Expressions of Emotion Biases Attention toward Positive Emotions

Perceiving and correctly interpreting emotional expressions is one of the most important abilities for social animals communication. It determines the majority of social interactions, group dynamics, and cooperation, being highly relevant for an individuals survival. Core mechanisms of this ability have been hypothesized to be shared across closely related species with phylogenetic similarities. Here, we explored homologies in human processing of different species facial expressions using eye-tracking. Introducing a prime-target paradigm, we tested the influences on human attention elicited by priming with differently valenced emotional stimuli depicting human and chimpanzee faces. We demonstrated an attention shift towards the conspecific (human) target picture that was congruent with the valence depicted in the primer picture. We did not find this effect with heterospecific (chimpanzee) primers and ruled out that this was due to participants interpreting them incorrectly. Implications about the involvement of related emotion-processing mechanisms for human and chimpanzee facial expressions, are discussed. Systematic cross-species-investigations of emotional expressions are needed to unravel how emotion representation mechanisms can extend to process other species faces. Through such studies, we address the gap of a shared evolutionary ancestry between humans and other animals to ultimately answer the question of "Where do emotions come from?".

evolutionary biology↗

Quantifying Physiological Synchrony through Windowed Cross-Correlation Analysis: Statistical and Theoretical Considerations

Interpersonal synchrony is a widely studied phenomenon. A great challenge is to statistically capture the dynamics of social interactions with fluctuating levels of synchrony and varying delays between responses of individuals. Windowed Cross-Correlation analysis accounts for both characteristics by segmenting the time series into smaller windows and shifting the segments of two interacting individuals away from each other up to a maximum lag. Despite evidence showing that these parameters affect the estimated synchrony level, there is a lack of guidelines on which parameter configurations to use. The current study aimed to close this knowledge gap by comparing the effect of different parameter configurations on two outcome criteria: i) the ability to distinguish synchrony from pseudosynchrony by means of surrogate data analyses and ii) the sensitivity to detect change in synchrony as measured by the difference between two within-subject conditions. Focusing on physiological synchrony, we performed these analyses on heartrate, skin conductance level, pupil size, and facial expressions data. Results revealed that a range of parameters were able to discriminate synchrony from pseudosynchrony. Window size was more influential than the maximum lag with smaller window sizes showing better discrimination. No clear patterns emerged for the second criterion. Integrating the statistical findings and theoretical considerations regarding the physiological characteristics and biological boundaries of the signals, we provide recommendations for optimizing the parameter settings to the signal of interest.

physiology↗