  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.
