Large-scale analysis of wild LLM chat logs finds that user interaction patterns stabilize quickly after initial use and correlate with long-term outcomes like retention, creating an agency paradox of limited exploration in unconstrained systems.
Exploring parent- child perceptions on safety in generative ai: Concerns, mitigation strategies, and design implications
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Mixed-methods research in Saudi Arabia reveals that GenAI use by youth creates culturally specific privacy and safety risks tied to family honor and shared accounts, requiring context-sensitive design.
citing papers explorer
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Priming, Path-dependence, and Plasticity: Understanding the molding of user-LLM interaction and its implications from (many) chat logs in the wild
Large-scale analysis of wild LLM chat logs finds that user interaction patterns stabilize quickly after initial use and correlate with long-term outcomes like retention, creating an agency paradox of limited exploration in unconstrained systems.
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Culturally Aware GenAI Risks for Youth: Perspectives from Youth, Parents, and Teachers in a Non-Western Context
Mixed-methods research in Saudi Arabia reveals that GenAI use by youth creates culturally specific privacy and safety risks tied to family honor and shared accounts, requiring context-sensitive design.