Human-Robot Collaboration (HRC) in surgery is often framed as a dyadic interaction between a surgeon and a robot. Such a focus on interactivity can narrow analytic attention, sidelining the often unseen coordination that makes robotic surgery workable across the wider surgical team. We surface the everyday practices of the Mako Product Specialist (MPS), a vendor-mandated support role embedded in Mako-assisted robotic surgeries. Drawing on ten expert interviews, supplemented by in-theatre observations, we identify three categories of specialist work: Supporting Makoplasty, Shouldering Makoplasty, and Sustaining Makoplasty. Across these categories, we show how specialist mediation sustains co-located surgical HRC through articulation work, boundary work, and translation-and-repair work that stabilises tempo, maintains legibility, and enables breakdown recovery under sterile and infrastructural constraints. These findings extend ensemble accounts of surgical HRC and motivate the design of robotic systems for ensembles rather than a single primary user.

Human-Robot Collaboration (HRC) in surgery is rarely a straightforward interaction between one human and one robot. In joint replacement surgeries performed with the Mako robot (Makoplasty), the robotic arm enhances surgical precision while also affecting how collaboration unfolds in the operating theater. Utilizing over 80 hours of hospital-based fieldwork, including observations of 15 Makoplasty surgeries and 10 interviews, we examine how the Mako robot shapes surgical HRC. We demonstrate how surgical teams coordinate via tacit cues, negotiated boundaries, and adaptive role shifts across phases of operation. Through vignettes, we highlight the pivotal role of supporting actors, such as nurses and robotic specialists, in maintaining flow and reveal how responsibility is distributed temporally among actors depending on task demands. We argue that surgical HRC is best understood as a multi-actor choreography rather than a surgeon-robot dyad, offering design implications for co-located surgical HRC systems that support distributed collaboration.

How does the implementation of robotic systems impact patient care, therapist roles, and clinical workflows in rehabilitation care? This study presents preliminary findings on the real-world implementation of the Lokomat® robotic gait therapy device in a rehabilitation hospital, focusing on the experiences of clinicians. Through qualitative methods, including interviews and direct observations, the study identifies both anticipated benefits and unforeseen challenges. Participants expressed optimism about the device's ability to extend therapy duration, improve patient outcomes, and alleviate therapists' physical workloads. However, operational realities such as time- and labour-intensive setups and staffing constraints revealed unexpected costs, both in terms of workload and logistics. The findings highlight the need for holistic implementation approaches that address both patient-centric benefits and clinician-centric challenges to ensure the sustainable adoption of robotic systems in healthcare.

The 8th International Workshop on Virtual, Augmented, and Mixed Reality for Human-Robot Interaction (VAM-HRI) seeks to bring together researchers from human-robot interaction (HRI) and human-robot collaboration (HRC), robotics, and mixed reality (MR) to address the challenges related to MR interactions between humans, robots, and agents. Key topics include the development of robots capable of interacting with humans in MR, the use of virtual reality for creating interactive robots, designing augmented reality interfaces for communication and control between humans and robots, exploring MR interfaces for enhancing robot learning and collaboration, comparative analysis of the capabilities and perceptions of robots and virtual agents, and sharing best design practices. VAM-HRI-2025 will build on the success of VAM-HRI workshops held from 2018 to 2024, advancing research in this specialized community.

This paper presents a preliminary investigation of the human factors underpinning successful Human-Robot Collaboration (HRC) in Mako-assisted Total Knee Arthroplasty (TKA) surgeries. This investigation is critical because most prior studies on human factors in Robot-Assisted Surgeries (RAS) have focused on the da Vinci surgical robot, a teleoperated robot. It could be valuable to identify what human factors might enhance or restrict HRC in Mako-assisted surgeries. We analyzed six surgical videos demonstrating how the Mako is utilized in TKA surgeries. We performed visual and thematic analyses. The findings indicate that the Mako system improves communication through the different screens in the operation theatre. These screens promote collaboration by visually sharing relevant information with all team members. Mako-assisted surgeries also introduce several challenges related to workflow disruptions. Future work aims to compare the insights of this study with other types of Mako-assisted surgeries.