“Smile to Vote: Towards Political Physiognomy Analytics; Experimental Method for Electoral Behavior Prediction” presented by Peterhaensel
Symposium:
- ISEA2018: 24th International Symposium on Electronic Art
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More presentations from ISEA2018:
Session Title:
- Hybridisation and Purity (Long Papers)
Presentation Title:
- Smile to Vote: Towards Political Physiognomy Analytics; Experimental Method for Electoral Behavior Prediction
Presenter(s):
Venue(s):
Abstract:
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.
