Augmentation-based artificial intelligence (AI) artifacts are increasingly being incorporated into the workplace. The coupling of employees and AI tools, given their complementary strengths, expands and expedites employees’ access to information and affords important learning opportunities. However, existing research has yet to fully understand the learning-based benefits and challenges for employees in augmentation. Integrating insights from AI augmentation literature and cognitive load theory, we conducted a daily diary study to understand employees’ experience using augmentation-based AI at work on a daily basis. We theorized and found that, on the one hand, frequent usage of augmentation-based AI during a workday was associated with greater knowledge gain and subsequently better task performance at the end of the workday. On the other hand, using augmentation-based AI frequently also led employees to experience information overload, which in turn impaired their performance and recovery at the end of the workday. In addition to elucidating the countervailing mechanisms, we identified employee openness to experience as a dispositional factor, and positive affect as a momentary state that shaped the effects of using augmentation-based AI over the workday. Our research has implications for understanding AI augmentation dynamics from a learning-based perspective, as well as AI’s impact on employees at large.

中文翻译：

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在工作中使用基于增强的人工智能工具：基于学习的好处和挑战的日常调查


基于增强的人工智能 (AI) 制品正越来越多地融入工作场所。鉴于员工和人工智能工具的优势互补，两者的结合可以扩大和加快员工获取信息的速度，并提供重要的学习机会。然而，现有的研究尚未完全了解增强中员工基于学习的好处和挑战。结合人工智能增强文献和认知负荷理论的见解，我们进行了每日日记研究，以了解员工每天在工作中使用基于增强的人工智能的体验。我们进行了理论分析并发现，一方面，在工作日期间频繁使用基于增强的人工智能与获得更多的知识以及随后在工作日结束时更好的任务绩效相关。另一方面，频繁使用基于增强的人工智能也会导致员工经历信息过载，进而损害他们在工作日结束时的表现和恢复。除了阐明抵消机制之外，我们还将员工对体验的开放程度确定为一个性格因素，并将积极影响确定为一种瞬时状态，它塑造了在工作日使用基于增强的人工智能的效果。我们的研究对于从基于学习的角度理解人工智能增强动态以及人工智能对广大员工的影响具有重要意义。