Recent advances in artificial intelligence (AI), data, and robotics (ADR) have pushed the boundaries of the benchmark performance of the respective methods and have already started to change the landscape in various application domains. Some of these domains are mission critical, with control activity that must match running processes. For those domains, a number of questions and challenges related to safety, robustness, and trustworthiness of AI and ADR methods and models still remain open, especially in the scenarios involving human operators. In this chapter, we provide an overview of human-centered perspectives on ADR with an emphasis on human-AI interaction, interactive visualization, and visual analytics. We explain the relationship of these fields to the related disciplines and fields, including human factors and human-computer interaction. We introduce the readers to basic concepts from these fields and discuss how the prior work fits with ADR principles, focusing on examples in visualization for explainable AI, cognitive systems engineering for joint human-AI control, and evaluation approaches for human-AI decision support systems. We argue that the techniques and frameworks proposed in these human-centered fields can and should be integrated with ADR methods.