TYCOV: A Year-Long Open Behavioral Study on Human Ability to Detect AI-Generated Images

Generative image models have rapidly improved, producing visuals that arefrequently indistinguishable from real photographs. We present TYCOV (TestYour Cognitive Vision), an open-source web application and reproducible ex-perimental pipeline to measure human ability to detect AI-generated images. Ina 55-week public deployment, 60,123 trial-level responses were collected from1,217 unique participants who completed forced-choice classifications on abalanced stimulus set (223 real; 223 AI). Aggregate accuracy was 60.3%; class-conditional accuracies were 67.8% for real images and 52.8% for AI images.We emphasize that trial-level analyses are clustered within participants; accord-ingly, cluster-aware inferential analyses were conducted. Analysis outputs andreproduction instructions are included in the repository’s README.md andPaper.md.

Authors

Publication Details

Published
2025-08-31
DOI
https://doi.org/10.31234/osf.io/gf239_v1
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

TYCOV: A Year-Long Open Behavioral Study on Human Ability to Detect AI-Generated Images

Aaryan Singh
Explainable Artificial Intelligence (XAI)
article

TYCOV: A Year-Long Open Behavioral Study on Human Ability to Detect AI-Generated Images

Aaryan Singh
article en

Abstract

Generative image models have rapidly improved, producing visuals that arefrequently indistinguishable from real photographs. We present TYCOV (TestYour Cognitive Vision), an open-source web application and reproducible ex-perimental pipeline to measure human ability to detect AI-generated images. Ina 55-week public deployment, 60,123 trial-level responses were collected from1,217 unique participants who completed forced-choice classifications on abalanced stimulus set (223 real; 223 AI). Aggregate accuracy was 60.3%; class-conditional accuracies were 67.8% for real images and 52.8% for AI images.We emphasize that trial-level analyses are clustered within participants; accord-ingly, cluster-aware inferential analyses were conducted. Analysis outputs andreproduction instructions are included in the repository’s README.md andPaper.md.

Openalex Percentile: Top 88%
Explainable Artificial Intelligence (XAI)
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.