SBAC uses sketching and multimodal LLMs to help users refine underspecified access control preferences into complete, validated policies through iterative human-AI collaboration.
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cs.HC 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
RoboBlockly Studio integrates block programming, AI conversation, and robot execution to create a feedback loop that supports student agency, transparency, and reflection in computational thinking education, as tested with 32 high school students.
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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.
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RoboBlockly Studio: Conversational Block Programming with Embodied Robot Feedback for Computational Thinking
RoboBlockly Studio integrates block programming, AI conversation, and robot execution to create a feedback loop that supports student agency, transparency, and reflection in computational thinking education, as tested with 32 high school students.