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In multi-user collaborative interaction systems, the interface serves not only as a medium for human-computer interaction but also as a crucial channel for communication between users. Consequently, the quality of collaborative interface design directly impacts the overall effectiveness of the system. In collaborative systems, different users typically assume distinct roles, and task flows are typically more complex. Compared to single-user interfaces, multi-user collaborative interfaces must account for a broader range of collaboration requirements and characteristics. Although a substantial body of theoretical and practical research on user interface design exists, design methods specifically for multi-user collaborative interaction interfaces are still lacking. Therefore, this study builds on the existing theories and case studies of collaborative systems, extending user-centered design methods. The study emphasizes the analysis of task flows and role relationships in multi-user collaboration and integrates collaboration needs and characteristics throughout every stage of the interface design process. Ultimately, we propose a methodological framework for interface design tailored to multi-user collaborative interaction systems, aiming to provide theoretical support for the development of more advanced and comprehensive collaborative systems.
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http://dx.doi.org/10.3390/s25061760 | DOI Listing |
Nurse Educ Today
August 2025
Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Background: Developing interprofessional competencies at the pre-registration level is essential for preparing a collaborative practice-ready workforce committed to patient-centered care and safety.
Aim: (1) To evaluate the impact of a Blended Learning Approach with Simulation-based TeamSTEPPS® (BLAST) training on nursing and medical students' attitudes, knowledge, and perceived confidence in interprofessional collaboration, and (2) to explore the learning experiences of students and teaching experiences of simulation facilitators.
Design: Mixed-methods design using a one-group pretest-posttest design and focus group discussions.
Micromachines (Basel)
August 2025
State Key Laboratory of Extreme Photonics and Instrumentation, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310027, China.
In multi-user wireless communication scenarios, signal degradation caused by channel fading and co-channel interference restricts system capacity, while traditional enhancement schemes face challenges of high coordination complexity and hardware integration. This paper proposes an electromagnetic focusing method using a single-layer transmissive passive metasurface. A high-efficiency metasurface array is fabricated based on PCB technology, which utilizes subwavelength units for wide-range phase modulation to construct a multi-user energy convergence model in the WiFi band.
View Article and Find Full Text PDFNurse Educ Today
October 2025
College of Nursing, Konyang University, Daejeon Medical Campus, 158, Gwanjeodong-ro, Seo-gu, Daejeon 35365, Republic of Korea. Electronic address:
Background: Traditional training methods, including lecture-based formats and single-user virtual reality (VR) systems, cannot fully replicate the complexities of team-based emergency care. This study addresses these limitations by utilizing a multi-user VR system with real-time communication and collaboration.
Aim: The purpose of this study was to evaluate the effectiveness of a multi-user interactive neonatal resuscitation program (NRP) utilizing hand-tracking technology in immersive VR and to compare its effectiveness and usability with that of a conventional controller-based single-user VR program.
Sci Rep
May 2025
Faculty of Science, Kunming University of Science and Technology, Kunming, 650500, China.
With the development of the industrial internet of things, an increasing number of intelligent terminal devices are being deployed in mining operations. However, due to the surge in network traffic and the limited availability of computational resources, these terminal devices face challenges in meeting high-performance requirements such as low transmission latency and low energy consumption. To address this issue, this paper proposes a method that combines partial offloading with collaborative mobile edge computing (MEC).
View Article and Find Full Text PDFSensors (Basel)
March 2025
School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China.
Cloud-assisted Internet of Things (IoT) has become the core infrastructure of smart society since it solves the computational power, storage, and collaboration bottlenecks of traditional IoT through resource decoupling and capability complementarity. The development of a graph database and cloud-assisted IoT promotes the research of privacy preserving graph computation. We propose a secure graph intersection scheme that supports multi-user intersection queries in cloud-assisted IoT in this article.
View Article and Find Full Text PDF