Mar 24, 2024 · This paper delves into these nuances by introducing a novel statistical framework that discerns integration accuracy in terms of precision and diversity.
Mar 28, 2024 · Empirical studies reveal that performance surges consistently with scale, either in human or machine settings. However, hybrid systems present ...
Section 3 discusses the open problem of function allocation in human-computer collaborative systems, and will provide some insight on applying this knowledge ...
We discuss recent advances in the open area of function allocation, and explore how to balance the contributions of humans and machines in computational systems ...
Human-machine collaboration in managerial decision making
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We investigated human-machine cooperation in managerial decision making. •. Human managers prefer human agents to have 70% input in managerial decisions.
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In our research involving 1,500 companies, we found that firms achieve the most significant performance improvements when humans and machines work together.
Oct 30, 2023 · This study examines the interactive effects of human-AI collaboration types (AI-dominant vs. AI-assisted) and outcome expectations (positive vs. negative)
Jul 12, 2024 · This narrative review synthesizes research and ideas related to social systems composed of multiple autonomous yet interacting and interdependent humans and ...
This project investigates optimal human-machine collaboration for analysis of large, complex data sets. The project uses advances in machine learning to develop ...
This paper develops a dynamic human–machine task allocation framework aimed at addressing this gap through the identification and evaluation of task complexity.