In the continually evolving digital landscape, where information overflow is the norm, Recommender Systems (RS) emerge as crucial architects for personalizing user experiences. This chapter delves into the realm of RS, casting a spotlight on their evolution and their transformative potential when viewed through a human-centered lens. As we navigate the intricacies of RS, the focus shifts from mere efficiency to a deeper understanding of user needs, preferences, and the nuances that make us human. We focus on psychomotor RS due to their unique challenges and potential applications in technology-advanced decision-making contexts, making them an ideal setting for deploying the human-centered CARAIX framework. Exploring this domain also allows us to reflect on how to address ethical challenges by prioritizing the human element. To craft CARAIX framework, we first examine both criticisms and best practices in RS and the existing engineering support.