CTEM framework links behavioral history to evolving emotional states with user feedback updates, instantiated as Auri agent and tested in a 21-day study showing gains in naturalness, coherence, and emotional harmony.
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3 Pith papers cite this work. Polarity classification is still indexing.
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2026 3verdicts
UNVERDICTED 3representative citing papers
Distill refines user task specifications for robots by pruning unnecessary steps, generalizing meanings, and relaxing order constraints, as demonstrated in a crowdsourcing study on a web interface.
A scoping review and personal reflections identify robot wrangling as a complex umbrella term and generate design implications for supporting wranglers as individuals and within broader service ecologies.
citing papers explorer
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Toward Natural and Companionable Virtual Agents via Cross-Temporal Emotional Modeling
CTEM framework links behavioral history to evolving emotional states with user feedback updates, instantiated as Auri agent and tested in a 21-day study showing gains in naturalness, coherence, and emotional harmony.
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Distill: Uncovering the True Intent behind Human-Robot Communication
Distill refines user task specifications for robots by pruning unnecessary steps, generalizing meanings, and relaxing order constraints, as demonstrated in a crowdsourcing study on a web interface.
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Designing for Robot Wranglers: A Synthesis of Literature and Practice
A scoping review and personal reflections identify robot wrangling as a complex umbrella term and generate design implications for supporting wranglers as individuals and within broader service ecologies.