Source record

Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2606.26614.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

HiLSVA is a human-in-the-loop agentic system for scientific visualization that combines a plan-first multi-agent architecture with explicit human oversight, stepwise provenance tracking, and learn-at-test-time adaptation. A 12-participant user study across autonomy levels shows mixed-initiative interaction improves task completion, control, and transparency, with a tradeoff against execution efficiency.

Concrete design patterns for mixed-initiative agentic workflows, with empirical evidence on how autonomy level affects task completion and oversight in a real system.

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