Article
Brief Commentary: A Framework for Detecting AI Agents in Online Research
2026-03-18
Abstract excerpt
<p>Online behavioral research assumes survey responses come from humans, yet vision-enabled AI agents can now autonomously complete surveys by capturing screenshots, processing questions, and submitting responses. Because these agents perceive the same rendered visual content that humans see, traditional detection methods are ineffective. This article introduces the Cognitive Trap Framework: researchers can transf...
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Identifiers and source
- Literature Corpus work
- 0ec7e756-2290-5749-b08f-e3196c94de65
- DOI
- 10.31234/osf.io/enuqj_v2