Graphionale: How Graph Visualizations of LLM Rationales Affect Human Decision Making
3.60T1 sourcearXiv cs.HC
arXiv cs.HCoriginal source ↗
Source record
Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2608.27932.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryA user study (N=204) introduces Graphionale, a system that converts linear LLM rationales into interactive multi-level argument graphs. Graphical rationales improved trust calibration for verbal reasoning but felt more demanding; for visual reasoning, they impaired calibration yet felt more engaging and helpful.
Why it mattersEmpirical rule for matching rationale format to task modality, with a working testbed and a 204-participant study behind the claim.
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