cff-version: 1.2.0
abstract: "<p>This study investigated human performance in identifying AI-generated images. In a speeded forced-choice task, 255 participants viewed paired images (one real, one AI-generated by Midjourney) of standard or futuristic cars and buildings and had to identify the AI-generated one, while eye movements were recorded using an eye-tracker. Results revealed a powerful ‘futurism-as-artificiality’ heuristic. Specifically, participants performed poorly (55% correct) when an AI-generated standard image was paired with a real futuristic image Conversely, accuracy was high (91% correct) when the AI-generated futuristic image was paired with a real standard image. Participants&#x27; gaze landed first on the AI-generated image more often when it depicted a futuristic design than when it depicted a standard one. The demonstrated heuristic presents a double-edged sword for information veracity: it may lead to the uncritical acceptance of AI-generated misinformation that appears conventional, while simultaneously causing real forward-thinking designs to be dismissed as fake.</p>"
authors:
  - family-names: de Winter
    given-names: Joost
    orcid: "https://orcid.org/0000-0002-1281-8200"
  - family-names: Pfeifer
    given-names: Jenna
    orcid: "https://orcid.org/0000-0001-7917-9469"
  - family-names: Dodou
    given-names: Dimitra
    orcid: "https://orcid.org/0000-0002-9428-3261"
  - family-names: Eisma
    given-names: Yke Bauke
title: "Supplementary data for the paper: &#39;Detecting Midjourney-generated images: An eye-tracking study&#39;"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/96b5eb59-b9a4-4094-8c47-04c14d57af1a.v1
license: CC BY 4.0
date-released: 2025-07-14