Prof. Constantin A. Rothkopf, PhD

Prof. Constantin A. Rothkopf, Ph.D.

Psychologie der Informationsverarbeitung

Kontakt

work +49 6151 16-23367

Work S1|15 246
Alexanderstr. 10
64283 Darmstadt

Bio

Constantin Rothkopf ist W3 Professor am Institut für Psychologie und Gründungsdirektor des Centre for Cognitive Science an der Technischen Universität Darmstadt. Er ist darüber hinaus Gründungsmitglied des Hessischen Zentrums für Künstliche Intelligenz (hessian.ai), Mitglied der ELLIS Unit Darmstadt und Co-Sprecher des Clusterprojekts The Adaptive Mind und des LOEWE Schwerpunkts Whitebox. Nach der Promotion in Gehirn- und Kognitionswissenschaften sowie in Informatik an der University of Rochester, NY war er ab 2009 als Postdoc am Frankfurt Institute for Advanced Studies (FIAS) in der theoretische Neurowissenschaften Gruppe tätig. 2009 begann er an der Goethe Universität, Frankfurt zu lehren und von 2010 bis 2012 war er Principal Investigator der Forschungsgruppe “beliefs, representations, and actions” am FIAS. Nach einem Jahr als Vertretungsprofessor am Institut für Kognitionswissenschaft an der Universität Osnabrück, hat er 2013 die W2 Professur „Psychologie der Informationsverarbeitung“ an der TU Darmstadt angetreten. Während des Wintersemesters 2017 war er Gastprofessor im Department of Cognitive Science an der Central European University, Budapest.

Research Interests

Constantin Rothkopf's research interests revolve around the distinction between 'looking' and 'seeing' and how this distinction relates to vision in goal directed behavior. The aim is to better understand the interrelationship between perception and action in humans, i.e. how we use our perceptual systems actively during natural extended behavior to guide decisions and actions with our bodies. This leads to the study of how we use sensory input, specifically vision, form beliefs about the world by carrying out computations on the basis of our cognitive representations, and then employ decision making processes to act in goal directed behavior. To achieve this goal he uses experimental studies in humans as well as computational modeling involving methods from statistical and machine learning. His current focus is on:

  • behavioral studies involving eye tracking of human eye movements during complex naturalistic tasks in natural and virtual environments,
  • building models of tasks and developing algorithms that learn how to solve these tasks in virtual agents,
  • developing models for the representation and quantification of extended sequential human behavior,
  • simulation of learning algorithms in naturalistic virtual environments,
  • developing learning algorithms with an emphasis on the learning of sensory representations for actions.