Not Now, Ask Later: Users Weaken Their Behavior Change Regimen Over Time, But Expect To Re-Strengthen It Imminently
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Abstract (arXiv)
How effectively do we adhere to nudges and interventions that help us control our online browsing habits? If we have a temporary lapse and disable the behavior change system, do we later resume our adherence, or has the dam broken? In this paper, we investigate these questions through log analyses of 8,000+ users on HabitLab, a behavior change platform that helps users reduce their time online. We find that, while users typically begin with high-challenge interventions, over time they allow themselves to slip into easier and easier interventions. Despite this, many still expect to return to the harder interventions imminently: they repeatedly choose to be asked to change difficulty again on the next visit, declining to have the system save their preference for easy interventions.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 Jan 2021.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 0; 2025: 2; 2026: 1.
4 papers.
- 2021Mind-proofing Your Phone: Navigating the Digital Minefield with GreaseTerminatorcited by 2
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- 2025JEEVHITAA -- An HCAI Ecosystem to Support Collective Carecited by 0
- 2026Exploring Reinforcement Learning for Fluid Transitions Between Clinical Mental Healthcare and Everyday Wellness Supportcited by 0
- 2026Exploring Reinforcement Learning for Fluid Transitions Between Clinical Mental Healthcare and Everyday Wellness Support5 Jun 2026
- 2025JEEVHITAA -- An HCAI Ecosystem to Support Collective Care6 Dec 2025
- 2025State Your Intention to Steer Your Attention: An AI Assistant for Intentional Digital Living16 Oct 2025
- 2021Mind-proofing Your Phone: Navigating the Digital Minefield with GreaseTerminator20 Dec 2021