An AI agent voicing outgroup views during ingroup tasks reduced anxiety and boosted perspective-taking more than passive transcript reading in a between-subjects study.
2013.Statistical power analysis for the behavioral sciences
5 Pith papers cite this work. Polarity classification is still indexing.
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LLMs produce lower-fidelity summaries of identical public comments when attributed to lower-status occupations like street vendors versus financial analysts, with inconsistent race effects and no gender effects.
EnergyTrackr detects statistically significant energy regressions in Java commits from 3,232 changes across three projects and identifies recurring code anti-patterns such as missing early exits.
Standard LLM chats produce high perceived understanding but low objective learning in students, while future-self explanations best align confidence with actual gains and guided hints maximize learning with moderate workload.
Adding an active tendon-driven wrist Ab-Ad joint to a 5 DoF exoskeleton cut drinking spillage from 56% to 3% and raised scratching leveling success from 28% to 75% in controlled tests.
citing papers explorer
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GroupEnvoy: A Conversational Agent Speaking for the Outgroup to Foster Intergroup Relations
An AI agent voicing outgroup views during ingroup tasks reduced anxiety and boosted perspective-taking more than passive transcript reading in a between-subjects study.
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All Public Voices Are Equal, But Are Some More Equal Than Others to LLMs?
LLMs produce lower-fidelity summaries of identical public comments when attributed to lower-status occupations like street vendors versus financial analysts, with inconsistent race effects and no gender effects.
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Systematic Detection of Energy Regression and Corresponding Code Patterns in Java Projects
EnergyTrackr detects statistically significant energy regressions in Java commits from 3,232 changes across three projects and identifies recurring code anti-patterns such as missing early exits.
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Confidence Without Competence in AI-Assisted Knowledge Work
Standard LLM chats produce high perceived understanding but low objective learning in students, while future-self explanations best align confidence with actual gains and guided hints maximize learning with moderate workload.
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A Tendon-Driven Wrist Abduction-Adduction Joint Improves Performance of a 5 DoF Upper Limb Exoskeleton -- Implementation and Experimental Evaluation
Adding an active tendon-driven wrist Ab-Ad joint to a 5 DoF exoskeleton cut drinking spillage from 56% to 3% and raised scratching leveling success from 28% to 75% in controlled tests.