Generative AI evaluation must shift from static benchmark scores to measuring sustained improvements in human capabilities within specific deployment contexts.
Johnson-Laird , title =
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
ARIS integrates a graph-based Social World Model, RAG, and agentic architecture for social robots and reports higher user ratings for intelligence, animacy, anthropomorphism, and likeability than an LLM baseline in a 23-person study with the Pepper robot.
citing papers explorer
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Benchmarked Yet Not Measured -- Generative AI Should be Evaluated Against Real-World Utility
Generative AI evaluation must shift from static benchmark scores to measuring sustained improvements in human capabilities within specific deployment contexts.
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ARIS: Agentic and Relationship Intelligence System for Social Robots
ARIS integrates a graph-based Social World Model, RAG, and agentic architecture for social robots and reports higher user ratings for intelligence, animacy, anthropomorphism, and likeability than an LLM baseline in a 23-person study with the Pepper robot.