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Evidence record 14447 · automatically gathered

Beyond the Post Hoc User Study: Modeling Visual Decision-Making with Active Inference

Empirical user studies are essential for evaluating visual encodings and can reveal perceptual and cognitive mechanisms, but they do not by themselves provide causal, predictive accounts of interpretation errors. Evaluations are therefore often post hoc: they measure performance after a design has been specified rather than predicting how attention, uncertainty, memory, and bias may produce accurate or erroneous judgments. To address this mechanistic gap, we translate a cognitive theory of visua

Record details

Published: 27 July 2026
Source: arXiv cs.HC
Category: Research
Topics: Bias & fairness
Retrieved: 29 July 2026

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These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (27 July 2026), “Beyond the Post Hoc User Study: Modeling Visual Decision-Making with Active Inference,” evidence record 14447, https://ethics.ai/record/14447 (originally published by arXiv cs.HC).

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