[ISEA2018] Paper: Alexander Peterhaensel — Smile to Vote: Towards Political Physiognomy Analytics; Experimental Method for Electoral Behavior Prediction


Keywords: Facial Recognition, Psychometrics, Computer Vision, Artificial Intelligence, Government 4.0, Privacy 4.0, Media Art, Interactive Installation

This Paper proposes a novel application of psychometric computer vision analysis. It describes the experimental use case of an interactive voting booth, which is able to retrieve, in real-time, the political conviction of any given person from their facial physiognomy by means of  computer vision. After an overview of relevant developments in the fields of psychometrics, computer vision as well as AI-driven political data science, the article describes the design and the operating principle of the interactive voting booth.

  • Alexander Peterhaensel is an interdisciplinary audiovisual media artist, composer, performer and researcher. His work focusses on Computer-mediated Realities, Immersive
    Architectures, Visual Music as well as Systems Engineering as an artistic field. He has performed, exhibited and lectured at various international festivals and conferences and has released several records, among others at Ars Electronica, CCCB Barcelona, Centrum
    Beeldende Kunst Dordrecht, c/o POP, Fundacion Ludwig de Cuba, Institut Français d’Agadir, Museum für Angewandte Kunst Köln, Museo de Arte Moderno de Medellín, re:publica and at Transmediale Berlin. He is part of the Artistic Research Group for Human Machine Interaction and Artificial Intlligence in creative processes (Kairos Theory Trio) at the UdK, Berlin as well as a member of the Research Group for Convergence    between Art, Science and Technology (GIIP) at the UNESP, São Paulo. Currently he is Assistant Professor at the Institute for Time Based Media at the University of the Arts Berlin, Gemany

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