Robot-mediated communication with passive/reactive/proactive behaviors and synchronous/asynchronous modes enables parent-child exchanges but surfaces tensions in initiative, timing, and privacy while offering opportunities for everyday family connection.
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4 Pith papers cite this work. Polarity classification is still indexing.
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A decision-theoretic model based on the observed Confirmation-Diagnosis-Correction-Redo user pattern places intermediate confirmations in AI agent tasks, yielding 81% user preference and 13.54% faster completion versus confirm-at-end.
Survey of 860 developers reveals 22 desired AI systems for non-coding tasks with explicit constraints on authority, provenance, and quality signals, framed as bounded delegation where AI handles assembly work but not core craft.
The paper proposes shifting GenAI research in software engineering from narrow performance metrics to also include developer well-being, social context, and sustainable productivity.
citing papers explorer
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Designing Robots to Support Parent-Child Connections: Opportunities Through Robot-Mediated Communication
Robot-mediated communication with passive/reactive/proactive behaviors and synchronous/asynchronous modes enables parent-child exchanges but surfaces tensions in initiative, timing, and privacy while offering opportunities for everyday family connection.
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When Should Users Check? Modeling Confirmation Frequency inMulti-Step Agentic AI Tasks
A decision-theoretic model based on the observed Confirmation-Diagnosis-Correction-Redo user pattern places intermediate confirmations in AI agent tasks, yielding 81% user preference and 13.54% faster completion versus confirm-at-end.
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To Copilot and Beyond: 22 AI Systems Developers Want Built
Survey of 860 developers reveals 22 desired AI systems for non-coding tasks with explicit constraints on authority, provenance, and quality signals, framed as bounded delegation where AI handles assembly work but not core craft.
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At What Cost? Software Developers' Well-Being in the Age of GenAI
The paper proposes shifting GenAI research in software engineering from narrow performance metrics to also include developer well-being, social context, and sustainable productivity.