{
  "id": 14447,
  "url": "https://arxiv.org/abs/2607.25131v1",
  "title": "Beyond the Post Hoc User Study: Modeling Visual Decision-Making with Active Inference",
  "summary": "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",
  "authors": "Harrison J. Goldwyn, Graham Johnson, Christopher Ibarra, Lace Padilla, Kenny Gruchalla",
  "category": "research",
  "topics": "bias-fairness",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-27T22:53:58.000Z",
  "fetched_at": "2026-07-29T05:10:12.205Z",
  "source_slug": "x-arxiv-cs-hc",
  "source_name": "arXiv cs.HC",
  "source_homepage": "https://arxiv.org/list/cs.HC/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/14447",
  "original_url": "https://arxiv.org/abs/2607.25131v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}