Fighting Malicious Designs: Towards Visual Countermeasures Against Dark Patterns

CHI Conference on Human Factors in Computing Systems, pp. 1–13

Abstract

Dark patterns are malicious UI design strategies that nudge users towards decisions going against their best interests. To create technical countermeasures against them, dark patterns must be automatically detectable. While researchers have devised algorithms to detect some patterns automatically, there has only been little work to use obtained results to technically counter the effects of dark patterns when users face them on their devices.

Authors 5

1. René Schäfer Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Germany

2. Paul Miles Preuschoff Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Germany

3. René Röpke Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Germany

4. Sarah Sahabi Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Germany

5. Jan Borchers Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Germany