Human agency relocates from interface affordances to conversational processes of goal articulation, output evaluation, and outcome negotiation in AI interactions.
2022.Human-centered AI
6 Pith papers cite this work. Polarity classification is still indexing.
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Crowdsourced metaphors show rising anthropomorphism and warmth toward AI that predict trust and adoption, with notable demographic differences.
Post-generation control in AI-assisted math visual creation yields higher teacher ratings for predictability and correctness than pre- or mid-generation control, with qualitative trade-offs in agency and effort.
Trust-driven routine use of generative AI is linked to reduced cognitive engagement in STEM students, with higher technophilic traits increasing vulnerability.
Industry markets AI agents for orchestration, creation, and insight, but a usability study with 31 participants reveals users face challenges from capability misalignment and lack of meta-cognition in tools like Operator and Manus.
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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After the Interface: Relocating Human Agency in the Age of Conversational AI
Human agency relocates from interface affordances to conversational processes of goal articulation, output evaluation, and outcome negotiation in AI interactions.
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From tools to thieves: Measuring and understanding public perceptions of AI through crowdsourced metaphors
Crowdsourced metaphors show rising anthropomorphism and warmth toward AI that predict trust and adoption, with notable demographic differences.
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When Should Teachers Control AI Generation for Mathematics Visuals?
Post-generation control in AI-assisted math visual creation yields higher teacher ratings for predictability and correctness than pre- or mid-generation control, with qualitative trade-offs in agency and effort.
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Thinking Less, Trusting More: GenAI's Impacts on Students' Cognitive Habits
Trust-driven routine use of generative AI is linked to reduced cognitive engagement in STEM students, with higher technophilic traits increasing vulnerability.
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Why Johnny Can't Use Agents: Industry Aspirations vs. User Realities with AI Agents
Industry markets AI agents for orchestration, creation, and insight, but a usability study with 31 participants reveals users face challenges from capability misalignment and lack of meta-cognition in tools like Operator and Manus.
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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.