Understanding the "Why": Investigating the Design of Privacy Support Tools (PSTs) through the Lens of Psychological Needs
Sara Hahn (Darmstadt University of Applied SciencesTechnical University of DarmstadtATHENE - National Research Center of Applied Cybersecurity)Verena Zimmermann (ETH Zurich)Simon Althaus (Technical University of DarmstadtATHENE - National Research Center of Applied Cybersecurity)Andreas Heinemann (Darmstadt University of Applied SciencesATHENE - National Research Center of Applied Cybersecurity)Ephraim Zimmer (Technical University of DarmstadtATHENE - National Research Center of Applied Cybersecurity)Alina St\"over (Technical University of DarmstadtATHENE - National Research Center of Applied Cybersecurity)Nina Gerber (Technical University of DarmstadtATHENE - National Research Center of Applied Cybersecurity)
Oct 2026
Human-computer Interaction
Abstract
Privacy Support Tools (PSTs) help users control their digital data, but face low adoption due to resignation and overwhelm. While current regulations aim to enhance privacy control, users still struggle to manage their privacy. To address this, we explore how PSTs can be designed for long-term adoption by applying the theoretical lens of psychological needs, as their fulfillment motivates users to use a digital product. We conducted in-depth interviews with 15 users and identified Security, Autonomy, and Competence as key psychological needs. From our results, we derive implications and recommendations for the need-sensitive design of PSTs.
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
M. Pikkarainen, Jukka Haikara, O. Salo et al.· Empirical Software Engineeri...· 401 citations· ⚡48
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
The perception of the impact of agile methods is predominantly positive, and several challenge areas were discovered, but based on this study, agile methods are here to stay.
M. Laanti, O. Salo, P. Abrahamsson· Information and Software Tec...· 260 citations· ⚡20
AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
MIT News · Artificial Intelligence· news.mit.eduOct 23, 2026
During the School of Humanities, Arts, and Social Sciences’ 75th Anniversary Symposium, President Sally Kornbluth said “MIT has never needed your particular insight and guidance more than we do now.”
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.