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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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.HC 2years
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background 2representative citing papers
SBAC uses sketching and multimodal LLMs to help users refine underspecified access control preferences into complete, validated policies through iterative human-AI collaboration.
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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Sketch-based Access Control: A Multimodal Interface for Translating User Preferences into Intent-Aligned Policies
SBAC uses sketching and multimodal LLMs to help users refine underspecified access control preferences into complete, validated policies through iterative human-AI collaboration.