Reflecting On Health Decisions with AI, Data Viz, etc.
Year: 2026
Type: preprint
Abstract: Reflection tests reveal cognitive biases and logical fallacies by luring people into accepting a particular response that — with just a moment’s reflection — we can realize is incorrect. Helping people correct these faulty intuitions at scale is not easy. Health decisions often involve similar statistical or logical lures. However, to our knowledge, there is no validated health-focused reflection test or a scalable intervention to help people reflect on faulty intuitions about health. We aimed to develop a Health Reflection Test, validated its lures with quantitative and qualitative methods, and test interventions to help people overcome lures to select correct answers (e.g., an AI chatbot or data visualization).
Source: OSF Preprints (OSF Preprints)
Language: English
Subfield: General Decision Sciences
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7220516944