2026-10-08T11:54:12Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33792751 2026-09-21T15:35:50Z category_30313 category_30391 category_30388 portal_11 item_type_3 month_year_09_2026

Examining the effects of age and personal characteristics on deepfake detection: an eye-tracking study Rachel Bennetts (5126276) Psychology of ageing Cognitive and computational psychology not elsewhere classified Sensory processes, perception and performance Deepfakes recognition AI images AI videos Eye movements Face processing <p dir="ltr">This dataset contains outputs from two related experiments investigating deepfake detection. Each experiment included a set of real and deepfake images and videos. Experiment 1 examined deepfake discrimination in younger and older adults, using StyleGAN-2 generated face images; Experiment 2 examined deepfake discrimination in younger adults, using Stable Diffusion generated face images. The videos in both datasets were generated using LTX studio. Real face images in both experiments were selected from the FFHQ database; real face videos in both experiments were selected from the deepfake detection challenge (DFDC) and FaceForensics databases. </p><p dir="ltr">Both datasets include: </p><p dir="ltr">1) behavioural data (accuracy and confidence ratings) in a deepfake detection task</p><p dir="ltr">2) individual differences data (AI Literacy scale; Trust in Automation scale; deepfake exposure OFCOM questionnaire; face recognition ability - PI20; autistic traits - AQ-10; impulsivity - BIS-11; a bespoke deepfake detection strategy questionnaire for images and videos)</p><p dir="ltr">3) eye movement data (fixations and dwell time to pre-defined areas of interest; individual fixation location and duration data)</p> 2026-09-21T15:35:50Z Dataset Dataset 10.17633/rd.brunel.33792751.v1 https://figshare.com/articles/dataset/Examining_the_effects_of_age_and_personal_characteristics_on_deepfake_detection_an_eye-tracking_study/33792751 CC BY 4.0