2026-09-17 ジョンズ・ホプキンス大学（JHU）
＜関連情報＞
- https://hub.jhu.edu/2026/09/17/optimizing-chemistry-between-people-and-ai/
- https://www.pnas.org/doi/10.1073/pnas.2530627123
性格の組み合わせが人間とAIの協働を向上させる Personality pairing improves human–AI collaboration
Harang Ju and Sinan Aral
Proceedings of the National Academy of Sciences Published:August 28, 2026
DOI:https://doi.org/10.1073/pnas.2530627123
Abstract
Here we examine how AI agent “personalities” interact with human personalities to shape human–AI collaboration and performance. In a large-scale, preregistered randomized experiment, we paired 1,258 participants with AI agents prompted to exhibit varying levels of the Big Five personality traits. These human–AI teams produced 7,266 display ads for a real think tank, which we evaluated using 1,168 independent human raters, and a field experiment on X that generated nearly 5 million impressions. We found that human and AI personalities individually shaped ad quality and teamwork and that human–AI personality pairings directly influenced ad quality. For example, extraverted humans paired with conscientious AI produced the lowest quality ads, followed by conscientious humans paired with agreeable AI and neurotic humans paired with conscientious AI. In the field experiment, ad quality significantly influenced ad performance, measured by click-through rates and cost-per-click. Together, these results demonstrate that personality pairing can improve human–AI collaboration and performance. They also motivate future research on the complex implications of AI personalization for human–AI collaboration, teamwork, and performance.
