与人工智能合作:数字生产力助理的案例
Jocelyn Cranefield1, Michael Winikoff1, Yi-Te Chiu1
1School of Information Management, Victoria University of Wellington, Wellington, New Zealand.
Journal of the Royal Society of New Zealand
|October 23, 2024
概括
数字生产力助理 (DPA) 使用个性化分析来提高工人的生产力和工作与生活平衡. 然而,对准确性,透明度和反的感知问题可能会限制他们作为人工智能工作伙伴的有效性.
科学领域:
- 人与计算机的交互
- 组织心理学 组织心理学
- 工作场所的人工智能
背景情况:
- 数字生产力助理 (DPA) 是新兴的智能工具.
- 数据保护机构利用基于工作的个性化分析来提高生产力和工作与生活的平衡.
- 它们旨在提高对个人协作行为的认识,并建议实践改进.
研究的目的:
- 了解个性化基于工作的分析在提高个人生产力的作用.
- 探索DPA对工人的工作与生活平衡的影响.
- 确定DPA对人类劳动的共同监管中的机会和障碍.
主要方法:
- 采用了一个解释性的案例研究方法.
- 数据收集涉及对28名面试员工的采访,这些员工面临着高要求和多样性的工作.
- 还进行了对工作实践的观察.
主要成果:
- 数据保护局可以通过技术负担来共同监管人类的工作,提供与AI的合作机会.
- 感知障碍包括准确性,透明度,反和可配置性的问题.
- DPA和工人对工作行为的分类之间的错误对准阻碍了潜在的收益.
结论:
- 通过个性化分析,DPA显示出提高生产力和工作与生活平衡的潜力.
- 解决感知障碍对于最大限度地发挥DPAs的好处至关重要.
- 为了在工作场所有效地实现人与人工智能的协作,还需要进一步的研究.
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