Keywords

Habituation, Misinformation Warning, Eye-Tracking, Interview, Short-Video

Abstract

Short-video platforms spread misinformation faster than text-based platforms through video clips and algorithmic feed curation, posing critical challenges for platforms. Security warning research blames and frames habituation—tuning out warning labels over time—as a trouble-maker and recommends polymorphic warning designs in desktop contexts to reduce habituation. This research-in-progress shifts to the context of mobile video feeds and directly compares multiple polymorphic variants (e.g., motion-based vs. high-contrast color) to identify optimal design features for attracting attention. Moreover, we draw on Kahneman’s dual-systems framework and theorize habituation's dual effects: it erodes deliberate label attention yet fosters fast System 1 reflexes that sustain reflexive vigilance (“tune out the label but not the risk”). Pilot data offer initial evidence of this overlooked positive side, advancing warning theory while informing practical, user-centered designs for short-video misinformation mitigation.

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Dec 15th, 12:00 AM

When Tuning Out Helps: Rethinking Habituation's Dual Role in Short-Video Warning Design

Short-video platforms spread misinformation faster than text-based platforms through video clips and algorithmic feed curation, posing critical challenges for platforms. Security warning research blames and frames habituation—tuning out warning labels over time—as a trouble-maker and recommends polymorphic warning designs in desktop contexts to reduce habituation. This research-in-progress shifts to the context of mobile video feeds and directly compares multiple polymorphic variants (e.g., motion-based vs. high-contrast color) to identify optimal design features for attracting attention. Moreover, we draw on Kahneman’s dual-systems framework and theorize habituation's dual effects: it erodes deliberate label attention yet fosters fast System 1 reflexes that sustain reflexive vigilance (“tune out the label but not the risk”). Pilot data offer initial evidence of this overlooked positive side, advancing warning theory while informing practical, user-centered designs for short-video misinformation mitigation.

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