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matan rubin

Comparing the value of perceived humanversus AI-generated empathy

16 July, 2025

new paper published in Nature Human Behaviour by Matan Rubin, Prof. Anat Perry, and colleagues, explores whether empathic responses are perceived differently when attributed to a human versus artificial intelligence.

Across nine studies with over 6,000 participants, the researchers found that identically generated empathic messages were rated as more empathic, supportive, and authentic when thought to come from a human.

oded leshem

Congratulation to Dr. Oded Adomi Leshem

2 July, 2025

Who won ISPP’s 2025 David O. Sears Best Book Award for his book "Hope Amidst Conflict: Philosophical and Psychological Explorations," Published by Oxford University Press.

Leshem is a senior researcher at the PICR lab and the founder of the new International Hub for Hope Research.

David O. Sears Best Book on Mass Politics Award

Amir Tal

Welcome Dr. Amir Tal

24 June, 2025

The Department of Psychology is excited to welcome Dr. Amir Tal, a new faculty member joining the department in collaboration with the Department of Cognitive Science and the Brain. Amir will join us in the upcoming academic year (2025–2026) and will lead the Computational Psychology cluster.

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Can names shape facial appearance?

18 July, 2024
ruth mayo new

Our given name is a social tag associated with us early in life. A new study of Prof. Ruth Mayo investigates the possibility of a self-fulfilling prophecy effect wherein individuals’ facial appearance develops over time to resemble the social stereotypes associated with given names. Leveraging the face–name matching effect, which demonstrates an ability to match adults’ names to their faces, we hypothesized that individuals would resemble their social stereotype (name) in adulthood but not in childhood. To test this hypothesis, children and adults were asked to match faces and names of children and adults. Results revealed that both adults and children correctly matched adult faces to their corresponding names, significantly above the chance level. However, when it came to children’s faces and names, participants were unable to make accurate associations. Complementing our lab studies, we employed a machine-learning framework to process facial image data and found that facial representations of adults with the same name were more similar to each other than to those of adults with different names. This pattern of similarity was absent among the facial representations of children, thereby strengthening the case for the self-fulfilling prophecy hypothesis. Furthermore, the face–name matching effect was evident for adults but not for children’s faces that were artificially aged to resemble adults, supporting the conjectured role of social development in this effect. Together, these findings suggest that even our facial appearance can be influenced by a social factor such as our name, confirming the potent impact of social expectations.

see full article here