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
| Name | University |
|---|---|
| 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
- 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.
