Users show curiosity over concern toward LLM inferences of personal information, with acceptability depending on context, alignment with expectations, and who uses the inferences rather than just the content.
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3 Pith papers cite this work. Polarity classification is still indexing.
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cs.HC 3years
2026 3verdicts
UNVERDICTED 3roles
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Freelancers use generative AI to support exploratory skill acquisition but not as their main resource due to reliability issues, leading to a shift toward survival-oriented upskilling and the emergence of invisible competencies that lack market validation.
A participatory design study with two K-12 students iteratively refined a generative AI Python tutor toward Socratic questioning, reflection prompts, and incremental hints, with preliminary observations of better clarity and engagement when combined with human guidance.
citing papers explorer
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When Are LLM Inferences Acceptable? User Reactions and Control Preferences for Inferred Personal Information
Users show curiosity over concern toward LLM inferences of personal information, with acceptability depending on context, alignment with expectations, and who uses the inferences rather than just the content.
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Upskilling with Generative AI: Practices and Challenges for Freelance Knowledge Workers
Freelancers use generative AI to support exploratory skill acquisition but not as their main resource due to reliability issues, leading to a shift toward survival-oriented upskilling and the emergence of invisible competencies that lack market validation.
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Towards SocratiCode: Designing a Generative AI-Based Programming Tutor for K-12 Students through a 4-Week Participatory Design Study
A participatory design study with two K-12 students iteratively refined a generative AI Python tutor toward Socratic questioning, reflection prompts, and incremental hints, with preliminary observations of better clarity and engagement when combined with human guidance.