Mobilizing Research and Regulatory Action on Dark Patterns and Deceptive Design Practices

Workshop at ACM CHI '24
by Colin M. Gray, Johanna Gunawan, René Schäfer, Nataliia Bielova, Lorena Sánchez Chamorro, Katie Seaborn, Thomas Mildner and Hauke Sandhaus

Abstract

Deceptive, manipulative, and coercive practices are deeply embedded in our digital experiences, impacting our ability to make informed choices and undermining our agency and autonomy. These design practices—collectively known as “dark patterns” or “deceptive patterns”—are increasingly under legal scrutiny and sanctions, largely due to the efforts of human-computer interaction scholars that have conducted pioneering research relating to dark patterns types, definitions, and harms. In this workshop, we continue building this scholarly community with a focus on organizing for action. Our aims include: (i) building capacity around specific research questions relating to methodologies for detection; (ii) characterization of harms; and (iii) creating effective countermeasures. Through the outcomes of the workshop, we will connect our scholarship to the legal, design, and regulatory communities to inform further legislative and legal action

Authors

NameUniversity
Colin M. Gray Indiana University Bloomington, Indiana, USA
Johanna Gunawan Northeastern University Boston, Massachusetts, USA 
René Schäfer RWTH Aachen University Aachen, Germany
Nataliia Bielova Inria Centre at Université Côte d’Azur France
Lorena Sánchez Chamorro University of Luxembourg Esch-sur-Alzette, Luxembourg
Katie Seaborn Tokyo Institute of Technology Tokyo, Japan
Thomas Mildner University of Bremen, Germany
Hauke Sandhaus Cornell Tech University New York, New York, USA

Publications

    2024

  • Colin M Gray, Johanna Gunawan, René Schäfer, Nataliia Bielova, Lorena Sánchez Chamorro, Katie Seaborn, Thomas Mildner and Hauke Sandhaus. Mobilizing Research and Regulatory Action on Dark Patterns and Deceptive Design Practices.  In Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems, CHI EA '24, pages 6, Association for Computing Machinery, May 2024.
    HomepagePDF DocumentBibTeX Entry

We use cookies on our website. Some of them are essential for the operation of the site, while others help us to improve this site and the user experience (tracking cookies). You can decide for yourself whether you want to allow cookies or not. Please note that if you reject them, you may not be able to use all the functionalities of the site.