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A review of human-machine collaborative joint action synthesizes 83 empirical studies
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Chengwen Zhang and other authors published a systematic review following PRISMA 2020, synthesizing 83 empirical papers on human-machine collaboration from 2021 to 2026 and, using joint action theory, classifying them into nine constructs under three capabilities: representation, prediction, and integration. The review analyzes the distribution and co-occurrence of each construct across the studies, points out where empirical evidence is concentrated and where it is lacking, and provides directions for future research.
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- Understanding Human-Robot Collaboration Through Joint Action Theory: A Systematic Review of 83 Empirical Studies
A systematic review following PRISMA 2020 examined 83 empirical papers on human-robot collaboration published between 2021 and 2026, using Joint Action theory to classify them into nine constructs under three capacities: Representation, Prediction, and Integration. The analysis reveals how these constructs are distributed and co-occur across studies, identifies where empirical evidence is concentrated and where it is absent, and offers guidelines for future research.
arXiv cs.RO ·