Agentic AI needs less routine interaction but more action-process, uncertainty, and coordination explanations, plus user-controlled customization, to support trust and agency.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.HC 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Input-level control over user profiles in an educational recommender system suffices to boost perceived control and positively shapes transparency, trust, satisfaction, and perceived quality, while further controls mainly reinforce impressions.
citing papers explorer
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Less Interaction But More Explanation: A Communication Perspective on Agentic AI Interfaces
Agentic AI needs less routine interaction but more action-process, uncertainty, and coordination explanations, plus user-controlled customization, to support trust and agency.
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Investigating the Effects of Different Levels of User Control in an Interactive Educational Recommender System
Input-level control over user profiles in an educational recommender system suffices to boost perceived control and positively shapes transparency, trust, satisfaction, and perceived quality, while further controls mainly reinforce impressions.