SAR Remote Collaboration Platform Supporting ATI for Training Tasks

Modeling physiological and perceived responses in remote collaborative virtual environments: A comparative study of HMD and desktop platforms

The wearable active camera/laser (WACL) allows the remote collaborators not only to independently set their viewpoints into the wearer's workplace but also to point to real objects directly with the laser spot. In this paper, we report a user test to examine the advantages and limitations of the WACL interface in remote collaboration by comparing a head-mounted display and a head-mounted camera-based headset interface. Results show that the WACL is more comfortable to wear, is more eye-friendly, and causes less fatigue to the wearer, although there is no significant difference in task completion time. We first review related works and user studies with wearable collaborative systems, and then describe the details on the user test.

Effects of design features of train electronic guidance interface on visual search, behavior, and usability

Remote collaboration systems allow users at different sites to perform joint tasks, which are required by many real-life applications. For example, environmental pollution is a complex problem requiring many kinds of expertise to fully understand, as pollutants disperse not only locally but also regionally or even globally. This paper presents a remote collaborative visualization system through providing co-presence, information sharing, and collaborative analysis functions based on mixed reality techniques. We start with developing an immersive visualization approach for analyzing multi-attribute and geo-spatial data with intuitive multi-model interactions, simulating co-located collaboration effects. We then go beyond by designing a set of information sharing and collaborative analysis functions to support different users to share and analyze their sensemaking processes collaboratively. We provide example results and usage scenario to demonstrate that our system enables users to perform a variety of immersive and collaborative analytics tasks effectively. Through two small user studies focusing on evaluating our design of information sharing and system usability, the evaluation results confirm the effectiveness of comprehensive sharing among user, data, physical, and interaction spaces for improving remote collaborative analysis experience.

Several research studies have recently explored user experience, emphasizing its expanding importance. Due to technology's rapid advancement and new platforms, online user experience management and improvement are becoming more critical. User experience is crucial in the metaverse as it helps build a devoted user following. In the metaverse, gamification, sociability, and personalization can all improve user experience. However, only some studies have integrated and synthesized existing works using the user experience perspective to make metaverse user experience research more consolidated, relevant, and impactful. Content analysis was used on the selected articles to combine the outcomes into five themes: Metaverse as a New Transformational Technology and User Experience, Metaverse Interactivity and User Experience, Metaverse Immersiveness and User Experience, Integrative Flow in Metaverse and User Experience and Metaverse Environment Interface and User Experience. Researchers, practitioners, and policymakers will find this study helpful for those interested in user experience and the metaverse. In order to guide future empirical research in the field, the study concludes with a framework consolidating the findings. Keywords: Metaverse; User Experience; Immersiveness; Environment interface; Transformational technology; Interactivity

Enhancing Library Management Software (LMS) through work automation, more efficient cataloging, and customized user experiences are all made possible by generative AI. In order to better understand how generative AI fits into library systems, this paper looks at how it may provide accurate information, optimize operations, and provide tailored suggestions depending on user preferences. AI-driven systems reduce the human labor necessary for categorization and resource management while boosting user engagement through targeted offerings. Notwithstanding these advantages, problems like prejudice in content produced by AI and worries about data privacy still exist.The integration of generative AI into Library Management Software (LMS) offers substantial potential for improving the efficiency and personalization of library services. Generative AI into LMS opens new opportunities to optimize functionality, improve user experience, and expand libraries digital outreach. The report underlines the necessity of addressing ethical issues and guaranteeing data transparency. It also highlights the necessity of scalable AI solutions, especially for smaller or less well-funded libraries. Libraries must overcome these obstacles as generative AI develops further in order to guarantee fair, efficient, and transparent AI inclusion.

In this paper we propose a framework that characterizes user interaction with webGIS. Furthermore we present a technique to remotely test and evaluate such systems. Our framework does not only include parameters describing the usability of a system, but refers to factors that we argue influence interaction and satisfaction substantially, such as the user's background and previous experience, or the user's computer equipment. We have developed tools and techniques to test webGIS remotely so that users can evaluate the system in their own environment rather than an intrusive laboratory. This remote-testing environment allows us to record parameters such as task completion time, the rate of interactions but also the type of operating system and network connection used during the evaluation. In a case study we captured the interaction of more than 300 users with a system whose purpose was to locate points of interest in a region of Switzerland. The data that was gathered during this remote-evaluation was used to validate and verify the conceptual framework. We have found out that parameters such as the user's experience with similar systems or the type of input device and connection speed significantly influence both the interaction and the user's satisfaction. The tools and the framework that we present in this paper are useful for developers and designers of webGIS, but also for researchers who are interested in evaluating the usability of such systems.

Computer-Aided Design (CAD) software has long served as a foundation for planning and modeling in Architecture, Engineering, and Construction (AEC). In recent years, the introduction of Augmented Reality (AR) and Virtual Reality (VR) has significantly reshaped the CAD landscape, offering novel interaction paradigms that bridge the gap between digital prototypes and real-world spatial understanding. These technologies have enabled users to engage with 3D architectural content in more immersive and intuitive ways, facilitating improved decision making and communication throughout design workflows. As digital design services grow more complex and span multiple media platforms—from desktop-based modeling to immersive AR/VR environments—evaluating usability and User Experience (UX) becomes increasingly challenging. This paper presents a longitudinal usability and UX study of a multiplatform house design pipeline (i.e., structured workflow for creating, adapting, and delivering house designs so they can be used seamlessly across multiple platforms) comprising a web-based application for initial house creation, a mobile AR tool for contextual exterior visualization, and VR applications that allow full-scale interior exploration and configuration. Together, these components form a unified yet heterogeneous service experience across different devices and modalities. We describe the iterative design and development of this system over three distinct phases (lasting two years), each followed by user studies which evaluated UX and usability and targeted different participant profiles and design maturity levels. The paper outlines our approach to cross-platform UX evaluation, including methods such as the Think-Aloud Protocol (TAP), standardized usability metrics, and structured interviews. The results from the studies provide insight into user preferences, interaction patterns, and system coherence across platforms. From both participant and evaluator perspectives, the iterative methodology contributed to improvements in system usability and a clearer mental model of the design process. The main research question we address is how iterative design and development affects the UX of the heterogeneous service. Our findings highlight important considerations for future research and practice in the design of integrated, multiplatform XR services for AEC, with potential relevance to other domains.

This study aims to evaluate the usability of an offline desktop library application developed using Java Swing and integrated with an iReport feature. The evaluation employed the System Usability Scale (SUS) using a descriptive quantitative approach. Data were collected from 28 respondents consisting of librarians and library administrators as the primary system users. The results show that the application achieved an average SUS score of 62.77, which falls into the marginal acceptability range, corresponding to Grade D and an “OK” adjective rating, and below the standard SUS benchmark score of 68. These findings indicate that the application adequately supports basic library operations but still exhibits usability limitations, particularly in interface consistency, user confusion, and reliance on technical assistance. Consequently, improvements in interface design and user experience are necessary to enhance the overall usability of the application.

The user experience measurement can reveal the strengths and weaknesses of an application. One of the tools used to measure the user experience of an application is the User Experience Questionnaire (UEQ). UEQ can provide feedback to developers on the Attractiveness, Efficiency, Perspicuity, Dependability, Stimulation, and Novelty aspects of the application, whether it needs improvement or not. This study aims to measure the user experience of UNG E-learning using the User Experience Questionnaire (UEQ) on these six aspects. This research is quantitative research with a survey method approach. The tool used in analyzing the user experience of e-learning is UEQ. This study showed that the UNG e-learning was seen from the average respondents' answers were between -0.8 and 0.8, which means that the respondents gave neutral answers. Compared to other products in the benchmark, this e-learning gives poor results in Attractiveness, Efficiency, Perspicuity, Dependability, Stimulation, and Novelty. Therefore, this e-learning requires quality improvement in user experience in these six aspects.

As a hot issue of current research, tourism information service has higher and higher requirements for intelligent construction. Tourism service recommendation is the embodiment of smart tourism. However, there are still obvious deficiencies in solving the problem of Internet information load and improving user experience. Through functional analysis, architecture design, selection of relevant development frameworks, and improvement of collaborative filtering algorithms, a stable, reliable, high-performance, multi-functional intelligent travel recommendation system can be developed that can complete personalized recommendations. It can achieve the purpose of improving the efficiency and accuracy of recommendation and recommending tourism-related information to users in a targeted manner. Analyze the test plan and test the recommended algorithm module. In the case of different concurrency and database levels, the system response time is 0.9 s and 1 s, respectively. And in the case of high throughput, the system response time is 1.5 s, indicating that the system is running stably. It not only tested the storage and calculation of big data but also improved the usability of the travel information service recommendation system and the user experience of the system.

Introduction: Medical care is provided in a complex environment by multidisciplinary teams. There is great need for high levels of coordination among teams. Paper medical records pile up that need referring back to. Sometimes finding a piece of medical history can be difficult. Information and communication technology solutions can solve such problems. The Zimbabwean AIDS & TB Unit of the Ministry of Health installed an electronic Patient Management System in 83 health facilities to alleviate the overburdened paper system. It is important to for the Unit to carry out a usability assessment of the system, to determine how usable it is. The more competently the users operate the system, the better the service AIDS & TB patients receive from them. Aim: To perform a usability assessment of the new electronic Patient Management System based on user experiences at the 83 high volume facilities where it was installed. Objectives: Review literature on usability of the electronic Patient Managements System; To construct a questionnaire and investigate the usability of the system; To analyse the results and investigate factors affecting the usability of the system. Methods: A cross sectional survey of the 83 facilities was done using a self-administered questionnaire as the data collection tool. Multiple linear regression analysis was done to investigate factors affecting usability of the system. Differences between demographic subgroups were investigated. Results: 48 (57%) of the 83 facilities responded. In a multiple linear regression analysis only amount of time a facility had spent with the system was found to have a linear relationship with the usability of the system (R2 = 0.2623; 95% CI). There were no differences among demographic sub-groups. Discussion: The training that came with the installation of the system was good enough to cancel out the demographic factors that would have influenced the usability of the system. Acquiescence response bias and social desirability bias may have been contributing factors. Conclusion and Recommendations: The perception of system usability and competency in use will improve with time. An assessment that captures all the facilities may give better insights into the issue of usability.

In recent years, societal factors and technological advancements have significantly accelerated the development of multi-user collaborative applications, reducing geographical constraints and enabling cross-functional cooperation. For instance, large-scale natural disasters often require systematic, multi-party collaborative command systems to support disaster response operations. In the context of earthquake emergency rescue, effective collaboration involves the coordination of various stakeholders, including surveyors, medical personnel, communication staff, rescuers, command officers, and logistics coordinators. These efforts often rely on large-screen interfaces that display vast amounts of data from multiple users. However, the simultaneous presentation of information from diverse sources can impose significant cognitive and response burdens on users. Optimizing the design and presentation of information feedback is therefore critical to ensure that users can efficiently access and accurately perceive collaborative information. Only when feedback effectively captures user attention and facilitates comprehension can it enhance operational efficiency and user experience.Despite its importance, limited research has been conducted on the design of information feedback in multi-user collaborative interfaces, particularly studies focusing on user preferences or the impact of randomness in information appearance. This study aims to address this gap by investigating user preferences for various feedback presentation methods in the context of earthquake emergency command halls, specifically within complex information systems. The research also considers the influence of random information occurrence. Ultimately, the study identifies user preferences for representative feedback methods, collects subjective evaluations from participants, and confirms consistency between subjective assessments and observed preference distributions.Method:The study consisted of two phases involving 16 participants. Tobii eye-tracking technology was employed to collect eye movement data as a measure of user performance and preferences. Following a preliminary investigation, three representative information feedback methods were designed: corner marker, pop-up, and flashing landmark feedback. The corner marker design adopted a commonly used industry-standard notification icon style.In the first phase, user preferences for the three feedback methods were assessed under conditions of single and random multiple presentations. A visual search task was employed to record eye-tracking metrics, such as fixation data, and user responses. The second phase involved a five-point Likert scale questionnaire to gather subjective evaluations of the user experience with each feedback method after completing the tests.Results:The results indicated that, in complex large-screen collaborative interfaces, participants allocated more attention to pop-up and flashing feedback compared to corner marker feedback. However, among the three methods, corner marker feedback elicited quicker and more focused visual attention from users. Subjective user experience ratings collected via the Likert scale were consistent with eye-tracking data, further validating the advantages of corner marker feedback.Conclusion:This study underscores the effectiveness of corner marker feedback in enhancing user efficiency and experience within earthquake emergency command scenarios. By combining objective eye-tracking data with subjective evaluations, the findings provide a comprehensive understanding of user preferences for information feedback methods. These insights offer valuable guidance for optimizing the design of information feedback systems in complex, high-pressure collaborative environments, particularly those used in emergency response operations.

This research developed an interactive Company Profile Website for DM Medical Alkes to address the lack of digital promotion and corporate credibility. The website integrates an interactive 360° product presentation feature to enhance user experience and buyer confidence. The Agile Development method was employed, which included planning, design (UML, mockups), implementation (Next.js, Supabase), testing, and review phases. An experiment to determine the optimal number of images for the 360° feature was conducted with internal stakeholders, resulting in the use of 36 images. Comprehensive system testing was performed using Black Box Testing, which confirmed that all basic website functionalities operated optimally. User Experience (UX) Testing with the System Usability Scale (SUS) yielded an average score of 80.85 from 41 customers (categorized as "Excellent") and 98.66 from 3 stakeholders (categorized as "Best Imaginable"). Furthermore, a focused questionnaire on the interactive 360° feature showed very positive results, with an average score of 4.0 and a percentage of 80% from 41 respondents (categorized as "Very Good"). These findings prove that respondents prefer the 360° feature over two-dimensional media or videos, and that the feature is effective in enhancing user experience and attracting potential buyers. Overall, the developed website successfully presents information and products effectively, significantly improving user experience and meeting expectations.

This study investigates the impact of Enterprise Resource Planning (ERP) systems on operational efficiency at Amazon, a global leader in e-commerce and cloud computing. ERP systems are integral to modern business, integrating core processes and facilitating data-driven decision- making. Amazon employs a sophisticated mix of commercial (e.g., SAP, Oracle) and proprietary ERP solutions to manage its vast and complex operations, including procurement, inventory, warehouse management, and order fulfilment. The primary purpose of this research is to understand ERP's role in Amazon's supply chain and logistics, analyse its impact on key performance indicators such as cost reduction, order accuracy, and process automation, and identify potential best practices. The study utilized a hybrid research methodology, commencing with an exploratory phase involving literature review and analysis of secondary data, followed by a descriptive phase centred on a quantitative survey. The survey gathered data from 92 professionals with experience in ERP systems and operations, many familiar with Amazon or similar large-scale environments. Key findings indicate a strong positive perception of ERP's impact on reducing order processing time, enhancing inventory accuracy, and improving interdepartmental coordination. However, challenges related to system usability, technical glitches, and the need for comprehensive user training were also identified. The study concludes that while ERP systems significantly contribute to Amazon's operational prowess, continuous improvement in user experience and ongoing support are crucial. Recommendations focus on enhancing user training, simplifying interfaces, improving system performance, establishing robust feedback mechanisms, and leveraging key performance indicators to track ERP impact. This research contributes to the understanding of ERP effectiveness in high-volume, technology- driven organizations. List of Abbreviations: ERP: Enterprise Resource Planning; KPI: Key Performance Indicator; AWS: Amazon Web Services; UX: User Experience.