ArticleCognitive science2026
Training Collaborators for Effective Division of Labor.
Article in Cognitive science, 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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3 authors.
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Abstract
By dividing labor, collaboration brings together the complementary strengths of individuals. Yet, division of labor benefits collaboration not only by assigning people to tasks that match their competences, but by allowing them to improve "on-the-job" through training and practice. Thus, optimal division of labor requires anticipating how each individual will develop and what roles they will eventually be best suited for. Existing research on collaboration, however, rarely considers this prospective dimension. To address this gap, we studied how humans make training decisions, while manipulating the long-term consequences of those decisions. Across three experiments (
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