About

Friederike Eyssel is Full Professor of Psychology and Head of the research group “Applied Social Psychology and Gender Research” at the Research Center “Cognitive Interaction Technology” (CITEC), Bielefeld University. She earned her Masters degree in Psychology from University of Heidelberg in 2004 and received her PhD in Psychology from Bielefeld University in 2007. Dr. Eyssel has held visiting professorships in social psychology at the University of Münster, the Technical University of Dortmund, the University of Cologne, and the New York University Abu Dhabi. Dr. Eyssel is interested in a variety of research topics ranging from social robotics, social agents, and ambient intelligence to research on attitudes, their measurement and change as well as gender research. Crossing disciplines, Dr. Eyssel has published her research in leading journals in the field of social psychology social robotics. Her work on robot gender has recently been published in Nature (Tannenbaum, Ellis,Eyssel et al., 2019). Friederike Eyssel has attracted third-party funding for various projects at the national and international level, and is currently running several interdisciplinary third-party funded projects on trust, robot design, acceptance, and successful social HRI and behavior change (see, for example, http://www.perseo.eu/, https://navelrobotics.com/en/research-project-viva/ or https://neo-milk.uni-koeln.de/ ).

Title of Talk #1

Title of Talk #2

Diversity, Bias and social robots

The lecture will feature a social psychological perspective on the notion of diversity, with a specific focus on “gender” and social categorization in social robots. That is, I will outline core principles of human social cognition and demonstrate that these principles are likewise used in the context of nonhuman entities. To illustrate, in human-human social cognition, we readily apply fundamental dimensions of social cognition and social categories (e.g., traits like agency and communion or social categories like ethnicity, gender) to form judgments about individuals and groups. A set of empirical experiments will be presented to highlight the impact of design choices on the evaluation and behavior towards social robots. Implications for the notion of diversity in HRI and social robotics will be discussed.

Awards

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Summary

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