AI systems risk reducing the perceived authenticity of prayer when they take too much guiding agency, so designs should preserve user agency through interpretive openness or allow non-use.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.HC 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
A case study of a teen-centered EMA platform found that gamification and a centralized dashboard sustained engagement and eased oversight, but technical instability and rigid data structures raised privacy issues and hindered analysis, yielding design guidelines for youth research apps.
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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Value-Sensitive AI for Prayer: Balancing the Agencies Between Human and AI Agents in Spiritual Context
AI systems risk reducing the perceived authenticity of prayer when they take too much guiding agency, so designs should preserve user agency through interpretive openness or allow non-use.
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Participation and Power: A Case Study of Using Ecological Momentary Assessment to Engage Adolescents in Academic Research
A case study of a teen-centered EMA platform found that gamification and a centralized dashboard sustained engagement and eased oversight, but technical instability and rigid data structures raised privacy issues and hindered analysis, yielding design guidelines for youth research apps.
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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.