ArticleFrontiers in artificial intelligence2026
A methodology for integrating AI into embodied human intelligence for the performance of complex tasks.
Article in Frontiers in artificial intelligence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
2 authors.
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Abstract
We propose a theory and methodology for designing human-artificial intelligence (AI) collaboration in complex, embodied tasks. The theory distinguishes human embodied intelligence from computational intelligence and identifies synergies in which AI enhances-rather than replicates or replaces-human performance. We represent observable structures of expert performance as a nested network with four interdependent layers:
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.