PAUSE
Future design: A counter-recommendation system
Design Concept
PAUSE is a counter-recommendation app designed to make recommendation algorithms more visible rather than more effective.
Instead of optimizing engagement, PAUSE encourages users to reflect on how algorithms influence their attention, preferences, and online behavior. It visualizes recommendation patterns and introduces unexpected content outside a user's existing interests, creating moments of interruption and critical awareness.
Rather than asking users to stop using social media, PAUSE aims to help them recognize how recommendation systems shape what they see and what they choose.
PAUSE is designed to shift users from passive consumption to conscious engagement.
By making recommendation systems visible and disrupting personalization, the app invites users to question how their digital experiences are being shaped instead of simply optimizing screen time.
Who It's For
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People who feel they spend too much time on recommendation-driven platforms.
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Users who want greater awareness of how algorithms influence their attention and preferences.
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Individuals interested in exploring content beyond personalized feeds.
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Designers, researchers, and digital citizens concerned with transparency and algorithmic influence.
Features
Session Tracker The Session Tracker monitors scrolling behavior across recommendation-driven platforms. It records screen time, the number of recommended posts viewed, and the proportion of content actively chosen by the user. When a user exceeds their self-defined limit, PAUSE interrupts the session with a full-screen summary, making the recommendation process visible rather than invisible.
PAUSE MAX is an optional mode that disrupts algorithmic personalization. Instead of reinforcing the user's existing interests, it introduces content outside their predicted preferences, gradually reducing the consistency of their behavioral profile. The feature is designed to challenge algorithmic categorization and encourage exploration beyond personalized feeds.
