Researchers explored how AI-use disclosures in news articles affect reader attention and cognitive load. Their study found that brief, one-line disclosures significantly increased eye-tracking metrics like fixation duration and saccade counts, especially for AI-edited content. However, detailed disclosures did not impose an additional burden, and overall cognitive load, measured by NASA-TLX and pupil diameter, remained unaffected by disclosure detail. The findings suggest that brief disclosures might prompt more visual scrutiny due to insufficient information, and interviews indicated a preference for detailed or on-demand disclosure designs. AI
IMPACT Informs the design of AI disclosure interfaces to balance transparency with reader attention and cognitive load.
RANK_REASON Academic paper detailing a user study on AI disclosure interfaces. [lever_c_demoted from research: ic=1 ai=1.0]
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