Survey evidence shows VR privacy deception exploits cognitive and ergonomic vulnerabilities, increasing acceptance of invasive data practices framed as immersion-preserving and fostering privacy resignation.
Karger, and Lalana Kagal
8 Pith papers cite this work. Polarity classification is still indexing.
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ConsentDiff enables longitudinal tracking of privacy policy churn and consent UI patterns, finding ongoing changes, shifts away from high-friction banners, and higher policy-UI alignment when rejection options are visible.
A Privacy Guardian Agent automates routine consent choices with user profiles and contextual awareness, escalating unclear or high-risk cases to users while keeping autonomous decisions reviewable for transparency.
A literature review concludes that pursuing consensus in data annotation creates biased AI by dismissing subjective disagreements and enforcing geographic hegemony, and proposes mapping diversity instead.
Generative interfaces let LLMs create task-specific UIs that users prefer up to 72% more than standard chat responses across tested tasks.
WCAG guidelines flag three deceptive patterns—countdown timers, auto-play, and hidden information—as violations, providing a legal and design route to limit manipulative interfaces.
A systematic review of user experiments finds that dark patterns reliably alter behavior with large variance in effect sizes, most interventions fail to mitigate them, and effects are similar across tested demographic groups.
citing papers explorer
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Rushed by Discomfort, Trapped by Immersion: Users' Experiences and Responses to Privacy Deceptive Design in Commercial VR Applications
Survey evidence shows VR privacy deception exploits cognitive and ergonomic vulnerabilities, increasing acceptance of invasive data practices framed as immersion-preserving and fostering privacy resignation.
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The Privacy Guardian Agent: Towards Trustworthy AI Privacy Agents
A Privacy Guardian Agent automates routine consent choices with user profiles and contextual awareness, escalating unclear or high-risk cases to users while keeping autonomous decisions reviewable for transparency.
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The Consensus Trap: Dissecting Subjectivity and the "Ground Truth" Illusion in Data Annotation
A literature review concludes that pursuing consensus in data annotation creates biased AI by dismissing subjective disagreements and enforcing geographic hegemony, and proposes mapping diversity instead.
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Access Over Deception: Fighting Deceptive Patterns through Accessibility
WCAG guidelines flag three deceptive patterns—countdown timers, auto-play, and hidden information—as violations, providing a legal and design route to limit manipulative interfaces.
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A Systematic Review of User Experiments Measuring the Effects of Dark Patterns
A systematic review of user experiments finds that dark patterns reliably alter behavior with large variance in effect sizes, most interventions fail to mitigate them, and effects are similar across tested demographic groups.