为什么不平等的人工智能访问提高了团队的生产力:交互过程的调解作用和认知多样性
1USC-SJTU Institute of Cultural and Creative Industry, Shanghai Jiao Tong University, Shanghai, China.
Frontiers in psychology
|September 24, 2025
概括
人类代理团队 (HATs) 对生成人工智能 (GenAI) 的不平等访问通过提高任务质量和完成时间来提高生产力. 这可以通过改进的互动和专注的询问策略来实现.
科学领域:
- 人与计算机的交互
- 团队动力学 团队动力学
- 人工智能整合人工智能整合
背景情况:
- 预计生成性人工智能 (GenAI) 将增强人类代理团队 (HAT).
- 由于不平等的访问,人工智能整合不均是团队有效性的关键因素.
- 现有的模型没有完全捕捉到团队设置中AI访问的细微差别.
研究的目的:
- 调查不平等的人工智能访问对人类-代理团队表现的影响.
- 将输入-中介-输出模型扩展到输入-过程-状态-输出 (IPSO) 框架.
- 确定不平等的人工智能访问影响团队结果的机制.
主要方法:
- 一个实验室实验与60个两人团队进行.
- 团队被分配到三个条件之一:不平等的AI访问,完全的AI访问或没有AI访问.
- 用任务质量和完成时间来衡量生产力.
主要成果:
- 不平等的AI接入导致了更高的生产率,超过了没有和完全的AI接入条件.
- 通过积极的连续调解来提高任务质量,包括涉及社会情感互动和认知多样性.
- 通过集中和不平衡的询问行为,任务完成时间被加速.
结论:
- 不平等的AI访问可以意外地优化人类-代理团队的表现.
- IPSO框架为团队中人工智能集成提供了一个新的视角.
- 结果为战略性管理GenAI在HAT中的访问提供了洞察力.
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