Background: The integration of robotic systems into #nursing practice is increasingly discussed as a potential strategy to alleviate workload and support care processes in response to demographic changes and staffing shortages. However, the acceptance of #nursing staff as primary end users remains a critical determinant for successful implementation. Despite technological advances, the practical requirements and perspectives of #nursing staff have not been adequately considered in research and development efforts to date. Objective: Building on the user-centered development approach applied, this study aimed to examine #nursing staff’s evaluation of a service robot designed to assist with routine tasks in inpatient care, as well as their intention to use it, while accounting for technology-specific and psychological determinants of acceptance. Methods: A total of 30 #nurses tested the robot across 3 application scenarios (information service, item delivery, and beverage delivery) in a simulated care setting, alternating between the roles of #nurse and care recipient. Acceptance-related constructs, including intention to use, were measured using the Technology Usage Inventory. General attitudes toward robots were assessed via the General Attitudes Towards Robots Scale. Participants’ prior experience with robotics was also documented. Spearman rank correlations and Mann-Whitney tests were used for analysis. Results: The robot was rated positively across all dimensions. Usability was high (median 20, IQR 18-21; scale range 3‐21), as was perceived usefulness (median 21, IQR 16-24; range 4‐28). Skepticism was low (median 10.5, IQR 7-12; scale range 4‐28), and accessibility was moderate (median 10, IQR 8-13; scale range: 3‐21). Intention to use was strong (median 224.5, IQR 157-248; scale range 0‐300) and correlated positively with usability ((28)=0.505; =.004), perceived usefulness ((28)=0.74;

Background: Nursing informatics is essential for digital health transformation; however, the technology acceptance of undergraduate #nursing students in Saudi Arabia remains underexplored. Objective: This study examined factors influencing #nursing students’ intention to use informatics technologies using the technology acceptance model. Methods: A cross-sectional survey was conducted with 132 undergraduate #nursing students. Data were analyzed using descriptive, correlational, and hierarchical regression analyses. Results: Perceived usefulness (mean 3.68, SD 1.22) and perceived ease of use (mean 3.64, SD 1.32) were the strongest predictors of acceptance, together explaining 87% of the variance (²=0.87; =0.323 for usefulness,