User Training Research Articles

Exploring Cross-site User Modeling Without Cross-site User Identity Linkage: A Case Study of Content Preference Prediction

Performing user modeling on two or more social media platforms collaboratively and complementing each other (cross-site user modeling) has been a significant problem in the area of social media mining in recent years. The core of this problem is to get to know a person’s identities on multiple platforms and then train user models collaboratively among these platforms. However, for privacy protection, many people do not want their identities on different platforms to be linked and disclosed. For this problem, we set cross-site Content Preference Prediction as a task and propose a cross-site user modeling method without cross-site User Identity Linkage (UIL). The core thought borrowed from privacy-preserving recommender system research is to organize social media identities into groups to hide the identity linkage among platforms. Experiments on real-world datasets suggest that our method outperforms the existing cross-site user modeling methods with cross-site UIL regarding several metrics.

Enhancing Health Services through Telemedicine: Addressing the Gaps in LBW Monitoring and Training at Puskesmas Gedangan, Sidoarjo Regency

Puskesmas in Sidoarjo Regency do not yet have facilities for monitoring LBW in real time via android either by health workers at the health centre or the patient's family. Puskesmas Gedangan serves communities spread across several villages with a coverage area spread across several villages. This is an obstacle for families to get access to monitor the patient's progress, because the patient is in the NICU or ICU room. Another thing is that there is no training for users in the use of telemedicine-based Baby Incubator equipment. The role of users and families of patients is very important to keep the equipment in good condition. However, operating trainings based on new technology for users have never been conducted. Efforts to solve the above problems are to carry out counselling and assistance in the use of baby incubator equipment to users including nurses, midwives and other non-health worker users, so as to increase the knowledge of officers or users which in turn will have an impact on increasing the productivity of officers or users and improving the quality of service at the health centre. The purpose of this Community Service is to increase the role and participation of Poltekkes Kemenkes Surabaya in improving the degree of public health in the Puskesmas Gedangan area, Sidoarjo Regency. The results of community service through the application of telemedicine-based Baby Incubator at Puskesmas Gedangan are increased knowledge and skills regarding telemedicine-based baby incubator equipment. This will improve health services, especially for babies who need intensive care. The implementation of this technology provides significant benefits, including increased accessibility of health services, speed of response to patient health conditions, family involvement in care, and efficient use of resources. Assistance to Puskesmas personnel and patient families in the form of training, monitoring and evaluation of the use of appropriate technology in the form of Telemedicine-based baby incubator utilization.

Understanding metaverse adoption in education: The extended UTAUMT model

The metaverse, an immersive virtual environment enabling users to engage with digital experiences, has the potential to revolutionize education. However, research pertaining to this area is still in its early stages. This study investigates the variables that influence the acceptance of educational metaverses and the intention to use them. It also presents an expanded model called the Unified Theory of Acceptance and Use of Metaverse Technology (UTAUMT) to provide guidance to educators and decision-makers. The study involved 253 Vietnamese teachers and students who had experience with metaverse, selected through purposive sampling. The UTAUMT provides a comprehensive framework that encompasses various factors, including metaverse performance expectancy (MPE), metaverse effort expectancy (MEE), metaverse social influence (MSI), metaverse hedonic motivation (MHM), metaverse price value (MPC), metaverse self-efficacy (MSE), and metaverse facilitating conditions (MFC). These factors were assessed using a self-administered questionnaire. The findings indicate that MEE, MSI, MFC, MSE, and MBI have a considerable impact on the educational metaverse MUB. The extended UTAUMT model makes a theoretical contribution by including metaverse-specific elements into the technology acceptance framework. The managerial implications focus on the integration of the metaverse, training of users, and providing support to enhance the adoption rate. This study explores the elements that contribute to the adoption of metaverse technology in education and contributes to the existing literature on the acceptance of metaverse technology.

The Role of Business Analysts in Optimizing HCM Systems: A Study of Post-Implementation Support Effectiveness

Abstract: This article investigates the effectiveness of Business Analysts (BAs) in the post-implementation phase of Human Capital Management (HCM) systems, aiming to develop a comprehensive framework for measuring BA performance and its impact on system optimization and user satisfaction. Employing a mixed-methods approach, the article combines quantitative analysis of key performance indicators (KPIs) such as response time, issue resolution rate, and system performance metrics with qualitative insights from case studies and user surveys. The article examines 150 BAs across 25 organizations, revealing that BAs who effectively balance technical expertise with strong communication skills contribute significantly to sustained HCM system success. Findings indicate that proactive BA involvement in user training and continuous system improvement correlates with a 30% increase in user satisfaction and a 25% reduction in system-related issues. The article culminates in a novel effectiveness measurement framework and recommendations for enhancing BA performance in post-implementation support, offering valuable insights for organizations seeking to optimize their HCM systems and maximize the value of their BA roles.

Usability and acceptability of self-testing for hepatitis C virus exposure in a high-prevalence urban informal settlement in Karachi, Pakistan

BackgroundHepatitis C virus (HCV) antibody self-testing (HCVST) may help expand screening access and support HCV elimination efforts. Despite potential benefits, HCVST is not currently implemented in Pakistan. This study aimed to assess the usability and acceptability of HCVST in a high HCV prevalence informal settlement in Karachi, Pakistan.MethodsWe performed a cross-sectional study in a hepatitis C clinic from April through June 2023. Participants were invited to perform a saliva-based HCVST (OraSure Technologies, USA) while following pictorial instructions. A study member evaluated test performance using a standardized checklist and provided verbal support if a step could not be completed. Perceived usability and acceptability were assessed using a semi-structured questionnaire. The HCVST was considered successful if the participant was able to complete all steps and correctly interpret test results. Overall concordance and positive and negative agreement were estimated in comparison with the HCVST result read by the study member (inter-reader concordance and agreement) and result of a second rapid HCV test (Abbott Diagnostics Korea Inc, South Korea) performed by a trained user (inter-operator concordance and agreement).ResultsThe study included 295 participants of which 97 (32%) were illiterate. In total, 280 (95%, 95% CI 92–97%) HCVSTs were successful. Overall, 38 (13%) people performed the HCVST without verbal assistance, 67 (23%) needed verbal assistance in one step, 190 (64%) in two or more. Assistance was most often needed in managing the test buffer and test reading times. The inter-reader concordance was 96% and inter-operator concordance 93%. Inter-reader and inter-operator positive percent agreement were 84 and 70%, respectively. All participants reported they would use HCVST again and would recommend it to friends and family.ConclusionSaliva-based HCVST was very well accepted in this clinic-based setting. However, many people requested verbal support in several steps, highlighting the need for clear instructions for use and test devices that are simple to use, particularly in low literacy settings. Moderately low positive percent agreement with the results of a rapid test performed by a trained user highlights potential uncertainty in the accuracy of HCVST in the hands of lay users.

UNPACKING THE RESISTANCE OF TRADITIONAL MARKET TO DIGITAL PAYMENT: A QUALITATIVE APPROACH

This research aims to discover how knowledgeable traditional market traders are regarding digital payment technology, what challenges traders face when trying or considering using digital payments, and how prepared traders are for traditional market digitalization programs. The research method used is qualitative research, which is conducted in-depth interviews with traditional market traders at Kebayoran Lama Market, South Jakarta. The research was conducted in June 2024 and visualized using NVIVO software. The interview results show that traditional market traders' understanding of digital payments shows that awareness, education, trust, and security factors play an essential role in adopting this technology. Overcoming the challenges of adopting digital payments requires a holistic approach that includes improving security and privacy, user education and training, developing technological infrastructure, reducing transaction costs, encouraging social and cultural influence, and increasing merchant support. Meanwhile, to increase the readiness of traditional market traders in facing digitalization, several strategic steps are needed, including comprehensive education and training to increase optimism and reduce discomfort, providing easily accessible technical support, security campaigns to explain digital payment system security measures, as well as promotions and incentives to encourage technology adoption.

Usability study of the qLabs® FIB: A new point-of-care system for functional fibrinogen testing

BackgroundIdentification of hypofibrinogenemia is particularly important in obstetrics since this predicts progression to severe Post-Partum Haemorrhage (PPH). ObjectivesTo evaluate the usability of qLabs® FIB at the bedside of patients with PPH. MethodsThe qLabs® FIB test was performed using a drop of whole blood from a citrated laboratory tube sampled from each parturient with PPH >1 L by a trained user. A usability survey was completed by each clinician performing the test. ResultsDuring the evaluation, 101 qLabs® FIB tests were performed. One hundred completed surveys and 58 free comments were collected. Satisfaction was achieved in 84 % of tests. Usability in emergency setting, timeliness of results, and the results display were considered positive. The qLabs® FIB results were obtained in <3 min for concentrations below 3 g/L whilst the median time to paired laboratory results was 60 (20–120) minutes. The lower a patient's fibrinogen level, the faster the qLabs® FIB result. ConclusionThe usability study was the first step in the validation process of the qLabs® FIB point of care device in obstetric settings.

A Bedside Electronic Whiteboard System for Patient Care in Isolation Rooms: A Scenario-Based Preliminary Study.

To assess a commercially available electronic whiteboard's usability and acceptability in isolation rooms, focusing on improving nurse-patient communication and supporting data input. A cross-sectional study with quantitative and qualitative mixed methods. We evaluated the usability and acceptability of electronic whiteboards among nurses using scenarios in a virtual isolation room environment. Nurses recognised the electronic whiteboard as a valuable tool for communication and error reductions in record-keeping but noted a learning curve for less tech-savvy users. Positive correlations were found between perceived usefulness, ease of use and adoption intent. Despite challenges, electronic whiteboards show promise for enhancing patient care, requiring comprehensive training and management systems. Time allocation in patient wards and nurse-patient interactions are crucial considerations. Electronic whiteboards have usability and acceptability as a tool to improve nurse-patient communication. However, considering technical issues and staff resistance, a management system and user training are necessary. Nurses perceive electronic whiteboards as user-friendly and as facilitating data input. TREND (Nonrandomised evaluations of behavioural and public health interventions). No patient or public contribution.

Critical Success Factors for the Widespread Adoption of Virtual Alternative Dispute Resolution (VADR) in the Construction Industry: A Structural Equation Modeling Analysis

This study explores the increasing adoption of virtual alternative dispute resolution (VADR) in the construction industry, enhancing efficiency and accessibility in dispute resolution. VADR is crucial for streamlining processes and reducing participation barriers. The study aims to investigate the critical success factors (CSFs) influencing the adoption of VADR in the construction sector. Given the rising importance of VADR technologies, understanding the key factors driving their acceptance is crucial. The background highlights the growing reliance on innovative technologies to boost operational efficiency and decision-making processes. The data for the study were collected using a cross-sectional design with online structured survey questionnaire (N = 97) from diversified construction industries. Using Smart PLS 4, structural equation modeling (SEM) was employed to test the validity, reliability, and proposed hypotheses of the study. The results showed that cost factors had the greatest impact on VADR acceptance, followed by user competence and training, procedural adaptability, and technological infrastructure. Logistical assistance and legal frameworks also had a considerable favorable impact. However, stakeholder buy-in had no significant influence on VADR implementation. The implications indicate that economic feasibility, logistical readiness, flexible procedures, supportive legal contexts, and user skills are significant factors for successful VADR integration. Governments and organizations should deploy VADR technologies to encourage innovation and operational improvement in the construction industry.

Initial validation and feasibility of a Standardized Navigation Of Winter Mobility & Accessibility Network (SNOWMAN) course for wheelchairs

Many Canadian manual wheelchair users face many challenges in winter months such as slippage on ice- or snow-covered ramps, snow windrows, and casters becoming stuck in deep or hard packed snow. These barriers impact wheelchair users’ ability to participate in the community. This study aimed to evaluate the validity and feasibility of a winter wheelchair obstacle course known as the Standardized Navigation Of Winter Mobility & Accessibility Network (SNOWMAN). The results demonstrated that the SNOWMAN course authentically represented real-world winter conditions, as confirmed by participant responses and qualitative feedback from four manual wheelchair users. The course was comprehensive, covering a range of winter obstacles typically encountered by wheelchair users. Construct validity was established by differentiating performance between manual wheelchairs and a motorized platform with snow tracks, showcasing varying completion times and device satisfaction levels. Feasibility was also assessed, with the administration protocol being mostly adhered to, safety measures implemented, and usability scores meeting acceptable thresholds. The SNOWMAN course showed promise for evaluating wheelchair adaptations and devices for winter conditions, as well as training users in winter mobility skills. Future research directions include comparing different wheeled mobility devices, exploring adaptations for usability in winter, and developing new technology tailored for challenging terrains and winter conditions. The SNOWMAN course could serve as a valuable tool for both research and clinical applications in enhancing winter mobility for wheelchair users.

Adoption of Advanced Systems for Digital Resource Management in Academic Institutions

In educational organizations, digital resource management refers to the organization and enhancement of electronic resources, including databases, libraries, and digital instructional materials. Excellent administration ensures optimal utilization, improves accessibility, and advances learning objectives. To achieve better institutional results, this approach entails incorporating digital tools, handling issues like data security and user training, and adjusting to new technological developments. Using an emphasis on the integration of digital libraries, e-learning platforms, and research databases, this study investigates the technologies and approaches used in maintaining digital resources within higher education circumstances. Through the use of a survey research design, this study employed a quantitative research methodology. Data gathered from a sample of 250 undergraduate students was utilized in this investigation. This study looks at the connections between teaching profile (TP), technology competence (TC), digital technology awareness (DTA), utility perception (UP), and usage motivation (UM). SPSS was utilized statistically to obtain the outcomes. Descriptive, correlation, and regression analysis were used to obtain the results utilizing data gathered from a sample of university participants. Significant of both conceptual and actual consequences have resulted from the findings.According to the study's findings, efficient use of digital resources in academic institutions greatly improves accessibility and resource utilization, both of which contribute to better learning outcomes.

Debiasing large language models: research opportunities*

ABSTRACT Large language models (LLMs) are powerful decision-making tools widely adopted in healthcare, finance, and transportation. Embracing the opportunities and innovations of LLMs is inevitable. However, LLMs inherit stereotypes, misrepresentations, discrimination, and societies' biases from various sources–including training data, algorithm design, and user interactions–resulting in concerns about equality, diversity, and fairness. The bias problem has triggered increased research towards defining, detecting and quantifying bias and developing debiasing techniques. The predominant focus in tackling the bias problem is skewed towards resource-rich regions such as the US and Europe, resulting in a scarcity of research in other societies. As a small country with a unique history, culture and social composition, there is an opportunity for Aotearoa New Zealand's (NZ) research community to address this inadequacy. This paper presents an experimental evaluation of existing bias metrics and debiasing techniques in the NZ context. Research gaps derived from the study and a literature review are outlined, current and ongoing research in this space are discussed, and the suggested scope of research opportunities for NZ are presented.

Analysis Of The Implementation Of Electronic Archive Data Transformation At The Coordinating Ministry For Humanitarian Development And Culture

This research was conducted at the Coordinating Ministry for Human Development and Culture or better known as the Kemenko PMK. The results of this research aim to find out whether institutions in Indonesia still use conventional archives or already use electronic archive management. This research uses qualitative methods with 4 resource persons for data collection. The data collection process in research uses observation, interviews and documentation. The analysis in this research was prepared using descriptive analysis methods. The analysis techniques used are data reduction, data presentation, data verification, and drawing conclusions. The results of this research show that institutions in Indonesia have begun implementing digital transformation from conventional archives with a digital application called Srikandi. Implementation is underway and makes work more effective and efficient. However, it was stated that some human resources had not mastered the application, especially seniors who did not understand technology and had technical problems. Solutions to the challenges faced include coordinating with ANRI (National Archives of the Republic of Indonesia) for technical problems, preparing a draft SOP for using Srikandi, and conducting training for Srikandi users.

Development and evaluation of a training curriculum to engage researchers on accessing and analyzing the All of Us data.

The All of Us Evenings with Genetics (EwG) Research Program at Baylor College of Medicine (BCM), funded to engage research scholars to work with the All of Us data, developed a training curriculum for the Researcher Workbench, the platform to access and analyze All of Us data. All of Us EwG developed the curriculum so that it could teach scholars regardless of their skills and background in programming languages and cloud computing. All of Us EwG delivered this curriculum at the first annual All of Us EwG Faculty Summit in May 2022. The curriculum was evaluated both during and after the Faculty Summit so that it could be improved for future training. Surveys were administered to assess scholars' familiarity with the programming languages and computational tools required to use the Researcher Workbench. The curriculum was developed using backward design and was informed by the survey results, a review of available resources for training users on the Researcher Workbench, and All of Us EwG members' collective experience training students. The curriculum was evaluated using feedback surveys during the Faculty Summit as well as virtual meetings and emails following the Faculty Summit. The evaluation results demonstrated the success of the curriculum and identified areas for improvement. The curriculum has been adapted and improved in response to evaluations and in response to changes to the All of Us data and infrastructure to train more researchers through this program and other scholarly programs.

Experiences of Using a Digital Guidance and Assessment Tool (the Technology-Optimized Practice Process in Nursing Application) During Clinical Practice in a Nursing Home: Focus Group Study Among Nursing Students.

Nursing students' learning during clinical practice is largely influenced by the quality of the guidance they receive from their nurse preceptors. Students that have attended placement in nursing home settings have called for more time with nurse preceptors and an opportunity for more help from the nurses for reflection and developing critical thinking skills. To strengthen students' guidance and assessment and enhance students' learning in the practice setting, it has also been recommended to improve the collaboration between faculties and nurse preceptors. This study explores first-year nursing students' experiences of using the Technology-Optimized Practice Process in Nursing (TOPP-N) application in 4 nursing homes in Norway. TOPP-N was developed to support guidance and assessment in clinical practice in nursing education. Four focus groups were conducted with 19 nursing students from 2 university campuses in Norway. The data collection and directed content analysis were based on DeLone and McLean's information system success model. Some participants had difficulties learning to use the TOPP-N tool, particularly those who had not attended the 1-hour digital course. Furthermore, participants remarked that the content of the TOPP-N guidance module could be better adjusted to the current clinical placement, level of education, and individual achievements to be more usable. Despite this, most participants liked the TOPP-N application's concept. Using the TOPP-N mobile app for guidance and assessment was found to be very flexible. The frequency and ways of using the application varied among the participants. Most participants perceived that the use of TOPP-N facilitated awareness of learning objectives and enabled continuous reflection and feedback from nurse preceptors. However, the findings indicate that the TOPP-N application's perceived usefulness was highly dependent on the preparedness and use of the app among nurse preceptors (or absence thereof). This study offers information about critical success factors perceived by nursing students related to the use of the TOPP-N application. To develop similar learning management systems that are usable and efficient, developers should focus on personalizing the content, clarifying procedures for use, and enhancing the training and motivation of users, that is, students, nurse preceptors, and educators.

CUREMA project: a further step towards malaria elimination among hard-to-reach and mobile populations

BackgroundIn most countries engaged on the last mile towards malaria elimination, residual transmission mainly persists among vulnerable populations represented by isolated and mobile (often cross-border) communities. These populations are sometimes involved in informal or even illegal activities. In regions with Plasmodium vivax transmission, the specific biology of this parasite poses additional difficulties related to the need for a radical treatment against hypnozoites to prevent relapses. Among hard-to-reach communities, case management, a pillar of elimination strategy, is deficient: acute malaria attacks often occur in remote areas, where there is limited access to care, and drugs acquired outside formal healthcare are often inadequately used for treatment, which typically does not include radical treatment against P. vivax. For these reasons, P. vivax circulation among these communities represents one of the main challenges for malaria elimination in many non-African countries. The objective of this article is to describe the protocol of the CUREMA study, which aims to meet the challenge of targeting malaria in hard-to-reach populations with a focus on P. vivax.ResultsCUREMA is a multi-centre, international public health intervention research project. The study population is represented by persons involved in artisanal and small-scale gold mining who are active and mobile in the Guiana Shield, deep inside the Amazon Forest. The CUREMA project includes a complex intervention composed of a package of actions: (1) health education activities; (2) targeted administration of treatment against P. vivax after screening against G6PD deficiency to asymptomatic persons considered at risk of silently carrying the parasite; (3) distribution of a self-testing and self-treatment kit (malakit) associated with user training for self-management of malaria symptoms occurring while in extreme isolation. These actions are offered by community health workers at settlements and neighbourhoods (often cross-border) that represent transit and logistic bases of gold miners. The study relies on hybrid design, aiming to evaluate both the effectiveness of the intervention on malaria transmission with a pre/post quasi-experimental design, and its implementation with a mixed methods approach.ConclusionsThe purpose of this study is to experiment an intervention that addresses both Plasmodium falciparum and P. vivax malaria elimination in a mobile and isolated population and to produce results that can be transferred to many contexts facing the same challenges around the world.

The development of 'Petanque match statistics': an android-based application for petanque matches analysis

The accelerated pace of technological advancement necessitates that many disciplines align themselves with these developments, whether directly engaged in the process or not. The field of sports provides an illustrative example of the profound impact of modern technology on various disciplines. This research aimed to develop an Android-based statistical application, designated "Petanque Match Statistic," which was designed to analyze Petanque matches. The research and development (R&amp;D) methodology was employed to undertake six project stages. The application, constructed on the Kodular platform, offers real-time data capture, sophisticated statistical analysis, interactive visualization, and comprehensive performance reporting. The application was subjected to rigorous alpha and beta testing to ensure its accuracy, reliability, and usability. Following its deployment, user training and a support system were established. Continuous evaluation and user feedback facilitated ongoing improvements. The application significantly enhances match analysis, benefiting players, coaches, analysts, and fans by providing accurate, real-time data and comprehensive insights, thereby promoting the growth and development of the sport of petanque. Keywords: Android Application, Match Statistics, Statistical Analysis, Real-Time Data, Sports Technology

Bayesian optimization acquisition functions for accelerated search of cluster expansion convex hull of multi-component alloys

Atomistic simulations are crucial for predicting material properties and understanding phase stability, essential for materials selection and development. However, the high computational cost of density functional theory calculations challenges the design of materials with complex structures and composition. This study introduces new data acquisition strategies using Bayesian-Gaussian optimization that efficiently integrate the geometry of the convex hull to optimize the yield of batch experiments. We developed uncertainty-based acquisition functions to prioritize the computation tasks of configurations of multi-component alloys, enhancing our ability to identify the ground-state line. Our methods were validated across diverse materials systems including Co-Ni alloys, Zr-O compounds, Ni-Al-Cr ternary alloys, and a planar defect system in intermetallic (Ni1−x, Cox)3Al. Compared to traditional genetic algorithms, our strategies reduce training parameters and user interaction, cutting the number of experiments needed to accurately determine the ground-state line by over 30%. These approaches can be expanded to multi-component systems and integrated with cost functions to further optimize experimental designs.

DETERMINAN FAKTOR YANG MEMENGARUHI KINERJA SISTEM INFORMASI PADA KOPERASI DI KABUPATEN BANYUMAS

Currently, technological developments are increasingly rapid and sophisticated, one of which is developments in accounting information systems. In this situation, users are required to adapt to current developments in technology because many companies are competing to advance their business. This research aims to determine the variables influencing the performance of accounting information systems in cooperatives in Banyumas Regency. Data was obtained in this research by distributing questionnaires to employees with a total of 106 respondents. The sampling technique uses purposive sampling with certain criteria. The results of this research indicate that user technical abilities, formalization of system development, user training and education programs, and top management support have a positive influence on accounting information system performance, while the work experience variable has no effect.Keywords : performance; accounting information system; cooperative;

Identifying enablers for the successful deployment of prescriptive analytics – a multiple case study

Purpose Although it is commonly agreed that prescriptive analytics can benefit organizations by enabling better decision-making, the deployment of prescriptive analytics tools can be challenging. Previous studies have primarily focused on methodological issues rather than the organizational deployment of analytics. However, successful deployment is key to achieving the intended benefits of prescriptive analytics tools. Therefore, this study aims to identify the enablers of successful deployment of prescriptive analytics. Design/methodology/approach The authors examine the enablers for the successful deployment of prescriptive analytics through five organizational case studies. To provide a comprehensive view of the deployment process, each case includes interviews with users, managers and top management. Findings The findings suggest the key enablers for successful analytics deployment are strong leadership and management support, sufficient resources, user participation in development and a common dialogue between users, managers and top management. However, contrary to the existing literature, the authors found little evidence of external pressures to develop and deploy analytics. Importantly, the success of deployment in each case was related to the similarity with which different actors within the organization viewed the deployment process. Furthermore, end users tended to highlight user participation, skills and training, whereas managers and top management placed greater emphasis on the importance of organizational changes. Originality/value The results will help practitioners ensure that key enablers are in place to increase the likelihood of the successful deployment of prescriptive analytics.