Background: With the expected increase in the number of people needing care and the increasing shortage of skilled care workers, new care concepts are required. Therefore, digital assistive technologies (DATs), especially robotics, can improve the situation of people with different needs and create opportunities for participation. For a human-technology interaction to have a high level of usability, DAT’s meaningfulness and effectiveness must be accessible to end users. Significant barriers to the use of DATs in health care are the lack of controllability and adaptivity, as well as control functions that are too complex. Objective: The objective of this paper is to develop an interaction and control platform that is understandable to a layperson and has a programming interface for DAT interactions. The innovation consists of the expansion of usage and interaction options for carers of existing DAT in a more individual manner. This is to be achieved by combining modern interactive media, a modular software architecture, and already available DAT. Methods: The project is planned as a mixed methods study with a longitudinal design, with multiple user involvements and measurement times in collaboration with 3 care facilities in Germany. When assessing technologies, the satisfaction of the basic human needs of competence, connection, and autonomy plays an important role in the actual use of the technology. These needs can be measured in the form of usability (System Usability Scale), intention to use (Technology Usage Inventory), and satisfaction with the carers’ needs (Technology-Based Experience of Need Satisfaction). In the qualitative assessment, user experience is recorded using the think-aloud method and focus groups in order to obtain information about potential improvements of the platform. Results: The EduXBot (Educational Exploration Robot Application Platform) project was initiated in January 2023 and is scheduled to conclude in December 2025, at which point the project’s final results are expected to be available. The initial results were attained in the summer of 2024 when the final concept for the platform prototype was developed. In November 2024, an initial prototype of a functional platform for the simplified interaction and control of DAT was evaluated. Conclusions: It is expected that the open DAT system architecture enables caregivers without any previous technical knowledge to assemble their individual DAT functional portfolio. The results of the project will provide low-threshold access to interaction options for existing DAT as well as expand the usage of such technologies in an individual and patient-centered way. Trial Registration: Deutsches Register Klinischer Studien DRKS00034195; https://drks.de/search/de/trial/DRKS00034195
Background: Aging populations and rising chronic illness prevalences are increasing demands for nursing care, while staff shortages threaten care quality. Robotics offer potential support, yet usability, workflow integration, and user acceptance remain major barriers. Objective: This study aims to develop and evaluate the feasibility, usability, and acceptance of a cross-device platform for controlling robotics in nursing using a participatory, user-centered approach. Methods: A convergent mixed methods feasibility study was conducted across 4 iterative workshops with 13 nurses from 2 German health care facilities. Quantitative measures included the System Usability Scale (SUS), Technology Usage Inventory (TUI), and Technology-based Experience of Need Satisfaction (TENS-Interface). Qualitative data were collected via think-aloud protocols and focus groups. Data integration supported iterative platform refinement and assessment of usability, acceptance, and satisfaction of psychological needs. Results: Participants exhibited high curiosity, perceived usefulness, and strong intention to use robotics, with low skepticism. SUS scores indicated acceptable usability. TENS-Interface scores showed increased autonomy and competence following workflow simplification and stepwise interaction logic. Qualitative findings emphasized intuitive control, personalized interventions, centralized management of multiple technologies, integration with documentation systems, and structured training. Triangulation of quantitative and qualitative data confirmed that iterative, user-centered refinements enhanced usability, acceptance, and platform effectiveness. Conclusions: Cross-device platforms integrating robotics can be successfully developed through participatory, user-centered methods. Technical usability, personalization, workflow integration, and structured training are key for adoption. The study demonstrates that technological barriers, rather than human resistance, are primary constraints to integrating robotics into nursing practice and can be mitigated through iterative co-creation aligned with real-world care contexts. Trial Registration: Deutsches Register Klinischer Studien DRKS00034195; https://drks.de/search/de/trial/DRKS00034195QC International Registered Report Identifier (IRRID): RR2-10.2196/63089