The quest to develop intelligent visual analytics (VA) systems capable of collaborating and naturally interacting with humans presents a multifaceted and intriguing challenge. VA systems designed for collaboration must adeptly navigate a complex landscape filled with the subtleties and unpredictabilities that characterize human behavior. However, it is noteworthy that scenarios exist where human behavior manifests predictably. These scenarios typically involve routine actions or present a limited range of choices. This paper delves into the predictability of user behavior in the context of visual analytics tasks. It offers an evidence-based discussion on the circumstances under which predicting user behavior is feasible and those where it proves challenging. We conclude with a forward-looking discussion of the future work necessary to cultivate more synergistic and efficient partnerships between humans and the VA system. This exploration is not just about understanding our current capabilities and limitations in mirroring human behavior but also about envisioning and paving the way for a future where human-machine interaction is more intuitive and productive.

中文翻译：

---

逻辑与不可预测性的舞蹈：检查视觉分析任务中用户行为的可预测性

开发能够与人类协作和自然交互的智能视觉分析 (VA) 系统是一个多方面且有趣的挑战。为协作而设计的 VA 系统必须能够熟练地应对复杂的环境，其中充满了人类行为的微妙性和不可预测性。然而，值得注意的是，存在人类行为可预测表现的场景。这些场景通常涉及常规操作或提供有限范围的选择。本文深入研究了视觉分析任务背景下用户行为的可预测性。它就预测用户行为在哪些情况下可行以及在哪些情况下具有挑战性进行了基于证据的讨论。最后，我们对未来必要的工作进行了前瞻性讨论，以培养人类与 VA 系统之间更加协同和高效的伙伴关系。这种探索不仅是为了了解我们当前在反映人类行为方面的能力和局限性，也是为了设想并为人机交互更加直观和高效的未来铺平道路。