User-centered Interface Research Articles

Design of an Educational Psychology Research Material Sharing Platform Based on Fuzzy Clustering Algorithm

In the interdisciplinary field of educational psychology, efficiently managing and accessing research materials remains a formidable challenge due to the vast and varied nature of available data. This paper introduces an innovative platform engineered to streamline the organization and dissemination of educational psychology research materials by harnessing the power of fuzzy clustering algorithms for automated content categorization. Motivated by the imperative to enhance the accessibility and discoverability of scholarly resources, our methodology employs the Fuzzy C-Means (FCM) algorithm, adept at accommodating the intrinsic ambiguity and overlap prevalent in educational psychology topics. The process initiates with a comprehensive preprocessing of diverse research materials, including scholarly articles, reports, and datasets, succeeded by meticulous feature extraction to distill pivotal themes and concepts. Subsequent application of the FCM algorithm facilitates the intuitive grouping of materials into clusters, each with varying degrees of relevance, thereby mirroring the multidimensional essence of the domain. Rigorous experimental validation of our approach underscores its efficacy in augmenting search precision and markedly diminishing the time scholars expend in locating pertinent materials. The platform’s user-centric interface further simplifies the exploration of educational psychology research, offering scholars a streamlined mechanism to access and engage with an extensive repository of resources. Through this study, we demonstrate a significant stride towards overcoming the hurdles in research material categorization and retrieval, heralding a new era of efficiency and accessibility for the educational psychology academic community on a global scale.

Innovative methods for integrating translation memory and CAT tools: Enhancing intelligent support in human translation processes

This paper explores the innovative integration of Translation Memory (TM) and Computer-Assisted Translation (CAT) tools to enhance translation efficiency, consistency, and quality in multinational organizations. By adopting a user-centric interface design, modular system architecture, and cloud-based deployment, the integrated system addresses diverse translation needs while ensuring data security and privacy. Key features include real-time translation suggestions powered by machine learning algorithms, seamless access to TM databases, and real-time collaboration tools. The paper discusses implementation strategies, challenges, and solutions, highlighting the importance of user training and continuous improvement. A case study demonstrates significant improvements in translation speed, accuracy, and user satisfaction, underscoring the potential of advanced translation technologies to transform translation workflows. The findings provide valuable insights into best practices for successful implementation and optimization of TM and CAT tools in complex, large-scale environments.

Linkr- Link Repository System

The digital landscape has revolutionized how we access and consume information, presenting an expansive repository of resources. However, this abundance introduces a significant challenge: the effective management of web links. As online content proliferates, users struggle with organizing, categorizing, and retrieving relevant links across multiple platforms and devices. This paper introduces Linkr, an innovative link repository system designed to address these challenges. Linkr offers a centralized platform for seamless link curation, categorization, and management, transcending the limitations of traditional bookmarking systems. By providing a user-centric interface, robust categorization, and advanced search functionalities, Linkr aims to streamline link organization, enhance accessibility, and improve browsing efficiency. The research delves into the methodologies, functionalities, and transformative potential of Linkr, highlighting its significance in reshaping web link management and enriching the digital experience.

DIGITAL BOUNCER – Automation Software

Digital Bouncer is an integrated platform for streamlined mass messaging and e-commerce, it’s a comprehensive platform designed to empower users with the ability to efficiently send a large volume of messages or emails to diverse audiences. The project comprises two integral components: a feature-rich e-commerce website and a specialized software for message/email dissemination. The website offers a user- friendly interface where individuals can tailor their messaging preferences and purchase related products. The features included are such as "Number Harbour" for getting a large number of number’s inn a particular location related to particular requirement and a dynamic "Chatbot" for enhanced user engagement and for an advanced automatic replier to messages . The synergistic integration of these components establishes Digital Bouncer as an innovative solution, catering to both the communication and e-commerce needs of users on a large scale. Index Terms – Secure communication ,Technology integration ,User-centric interface ,Digital marketing

Survey of dental students’ perception of ubiquitous-based test (UBT)

This study aimed to investigate the perceptions of dental students in a dental school where the ubiquitous-based test (UBT) system has been implemented for several years. The research explored differences in perceptions based on respondents' characteristics and identified possibilities for improving the UBT system.This study surveyed fourth-year dental students who had taken the UBT exams for two years. A questionnaire covered respondent characteristics, UBT system perceptions, convenience, reliability, and comparison of UBT and paper-based test (PBT). The responses were measured on a 5-point Likert scale for all items except for some respondent characteristics. Analysis employed descriptive statistics, chi-square tests, independent t-tests, and Spearman's correlation at a significance-level of p<0.05.A total of 157 responses were analyzed, including 86 respondents in 2021 and 71 in 2022. The respondents' general characteristics were similar across both years. Students exhibited positive perceptions towards the introduction of the UBT system and its convenience. However, their preference for UBT over PBT was less pronounced. Female students had higher tablet ownership rates than males. Gender-based and tablet ownership-based differences were observed in several items, such as tablet usage frequency and interest in new technologies. The strong correlations were identified between PBT and UBT assessment results.With user-centered interface enhancements and the incorporation of multimedia items, the UBT system will be effectively utilized in dental education as a valuable tool for both instruction and assessment.

Smart Unary Multilevel Marketing

The "Raksham" project stands as a cutting-edge Unilevel Marketing platform meticulously engineered to promote and distribute Raksham Ayurvedic health-conscious products. Harnessing a sophisticated amalgamation of HTML, CSS, JavaScript, MySQL, and PHP technologies, Raksham orchestrates a seamless and intuitive interface for interactions between distributors and end-users, redefining the paradigm of online marketing and sales. The Admin Portal emerges as the nerve center of Raksham, furnishing distributors with an array of powerful tools and features to streamline their operations. These include dynamic dashboards that furnish real-time insights into team performance, robust profile management capabilities, streamlined package enrollment processes, agile payment systems for seamless financial transactions, and sophisticated team management functionalities. These tools empower distributors to monitor their business performance meticulously, manage their teams effectively, and orchestrate secure and efficient financial transactions with ease. On the end-user front, Raksham presents a captivating and user-centric interface designed to enhance the shopping experience and foster customer engagement. Through features like intuitive messenger services facilitating seamless communication between users and distributors, comprehensive product catalogs showcasing the diverse range of Raksham products, and streamlined order tracking mechanisms, Raksham ensures that end-users can navigate the platform effortlessly, make informed purchasing decisions, and track their orders with convenience. The strategic integration of these features within Raksham's technological infrastructure not only augments operational efficiencies for distributors but also enhances user satisfaction and engagement among end-users. By leveraging state-of-the-art technologies and a user-centric design philosophy, Raksham solidifies its position as a formidable contender in the realm of Ayurvedic health-conscious products, poised to revolutionize the landscape of online marketing and sales in this domain. Keywords: The Advertising, Business ,Social , Network Service, Internet, Data Mining, Website

VARista: a free web platform for streamlined whole-genome variant analysis across T2T, hg38, and hg19.

With the increasing importance of genomic data in understanding genetic diseases, there is an essential need for efficient and user-friendly tools that simplify variant analysis. Although multiple tools exist, many present barriers such as steep learning curves, limited reference genome compatibility, or costs. We developed VARista, a free web-based tool, to address these challenges and provide a streamlined solution for researchers, particularly those focusing on rare monogenic diseases. VARista offers a user-centric interface that eliminates much of the technical complexity typically associated with variant analysis. The tool directly supports VCF files generated using reference genomes hg19, hg38, and the emerging T2T, with seamless remapping capabilities between them. Features such as gene summaries and links, tissue and cell-specific gene expression data for both adults and fetuses, as well as automated PCR design and integration with tools such as SpliceAI and AlphaMissense, enable users to focus on the biology and the case itself. As we demonstrate, VARista proved effective in narrowing down potential disease-causing variants, prioritizing them effectively, and providing meaningful biological context, facilitating rapid decision-making. VARista stands out as a freely available and comprehensive tool that consolidates various aspects of variant analysis into a single platform that embraces the forefront of genomic advancements. Its design inherently supports a shift in focus from technicalities to critical thinking, thereby promoting better-informed decisions in genetic disease research. Given its unique capabilities and user-centric design, VARista has the potential to become an essential asset for the genomic research community. https://VARista.link.

Integrating predictive coding and a user-centric interface for enhanced auditing and quality in cancer registry data

Data curation for a hospital-based cancer registry heavily relies on the labor-intensive manual abstraction process by cancer registrars to identify cancer-related information from free-text electronic health records. To streamline this process, a natural language processing system incorporating a hybrid of deep learning-based and rule-based approaches for identifying lung cancer registry-related concepts, along with a symbolic expert system that generates registry coding based on weighted rules, was developed. The system is integrated with the hospital information system at a medical center to provide cancer registrars with a patient journey visualization platform. The embedded system offers a comprehensive view of patient reports annotated with significant registry concepts to facilitate the manual coding process and elevate overall quality. Extensive evaluations, including comparisons with state-of-the-art methods, were conducted using a lung cancer dataset comprising 1428 patients from the medical center. The experimental results illustrate the effectiveness of the developed system, consistently achieving F1-scores of 0.85 and 1.00 across 30 coding items. Registrar feedback highlights the system’s reliability as a tool for assisting and auditing the abstraction. By presenting key registry items along the timeline of a patient’s reports with accurate code predictions, the system improves the quality of registrar outcomes and reduces the labor resources and time required for data abstraction. Our study highlights advancements in cancer registry coding practices, demonstrating that the proposed hybrid weighted neural-symbolic cancer registry system is reliable and efficient for assisting cancer registrars in the coding workflow and contributing to clinical outcomes.

Review on VEND IT!- A Smart Vending Machine

Abstract: Traditional vending machines, though reliable, have often lagged behind in terms of convenience, personalization, and sustainability. As society rely on digital connectivity and automation continues to grow, the need for a smarter, more responsive vending solution has become increasingly evident. In a world marked by constant technological innovation and evolving consumer preferences, the time has come to reimagine the traditional vending machine. "Vend It" is a visionary project that aims to reinvent the conventional vending machine, leveraging cutting-edge smart technology to create a seamless, efficient, and user-friendly vending experience. VEND IT! encompasses a comprehensive suite of innovations, ranging from intelligent inventory management to user-centric interface design, and remote monitoring and management capabilities.

VEZZIES: Redefining the E-Commerce Experience through an Android Application

Abstract: This research paper delineates the comprehensive development, implementation, and assessment of Vezzies android application, an innovative mobile application crafted to revolutionize [specific functionality or solve a particular problem within its targeted domain]. The study adopts a meticulous and iterative approach, leveraging [methodology or framework utilized, e.g., agile methodology, user-centred design principles, etc.], to orchestrate the creation of an intuitive, seamless, and user-centric interface for Vezzies application. Through a series of rigorous testing phases and user-driven design iterations, the application aims to efficaciously address [the pressing issue or need it seeks to resolve]. Key findings encapsulate the efficacy and impact of Vezzies application in the context of its intended purpose. User feedback, coupled with extensive usability testing, illuminates not only the commendable attributes of the application but also underscores certain challenges encountered, improvements enacted, and potential future enhancements essential for augmenting user experience and functional capabilities. This paper offers critical insights into the ramifications of Vezzies application within the realm of [relevant field or industry]. It underscores the application's potential to influence [user behaviour, industry standards, technological advancements, etc.], thereby advocating for its significance in the context of contemporary mobile application landscapes. Furthermore, it emphasizes the perpetual necessity of adaptive development methodologies and user-centric design paradigms to sustain relevance and ensure ongoing success in the dynamic milieu of mobile applications.

Diseño de Interfaces de Usuario Centrado en el Usuario: Mejores Prácticas y Tendencias

The objective of this research was to understand best practices and trends in user-centered interface design. Through a qualitative methodology, different design strategies were examined and their impacts on user experience were evaluated. This approach allowed us to delve deeper into the intrinsic aspects and specific details that influence user perception and satisfaction. As a result, several emerging trends were identified, including the importance of intuitive design, adaptability to different devices,and the incorporation of interactive elements that enhance user immersion. It was found that interfaces that put the user at the center of the design process not only improve overall functionality, but also enhance user retention and loyalty.

Do stakeholder needs differ? - Designing stakeholder-tailored Explainable Artificial Intelligence (XAI) interfaces

Explainable AI (XAI) is increasingly being used in the healthcare domain. In health management, clinicians and patients are critical stakeholders, requiring tailored XAI explanations based on their unique needs. Our study investigates the differences in explanation needs between clinicians and patients and designs corresponding explanation interfaces for each group. Using a scenario-based approach, we assessed stakeholder-tailored needs, analyzed differences, and designed interfaces using theoretical frameworks. The results demonstrate diverse stakeholder motivations for seeking explanations, leading to varied requirements. The designed interfaces effectively address these requirements, as validated by the preference selection and qualitative feedback from clinicians and patients. Their suggestions provide design insights and highlight the divergent needs of these stakeholder groups. This study contributes practical and theoretical implications to XAI research, emphasizing the importance of understanding diverse stakeholder needs and incorporating relevant theoretical concepts into user-centered interface design.

An enhanced interactive endoscope model based on position-based dynamics and Cosserat rods for colonoscopy simulation

Virtual simulators play a significant role in training surgeons for endoscopic procedures, improving their abilities in real-world scenarios while reducing patient exposure. However, due to the complexity of the organs’ behavior, building realistic virtual simulators is still a challenge. In this paper, we propose an approach to modeling the endoscope and its interaction with the colon with a focus on compatibility between colon simulation, endoscope simulation, and user interaction. Instead of using a traditional physics-based approach, which is computationally expensive, we rely on efficient position-based methods that were originally built for video games, where high accuracy is traded for interactive plausibility. We propose a Cosserat rod constraint to model the endoscope and designed a user-centered interface that allows the simulator to run on commodity computers instead of dedicated training hardware. We implemented our model and interface on Unity and evaluated our virtual endoscope for compatibility with a deformable colon. Results show that the model performs in real-time, the dynamic elongation of the scope is stable, and the typical maneuvers made in total colonoscopy can be effectively made with the interface.

Developing a Commerce Solutions for Convenient Food Ordering System using Mobile Application

The paper presents the development of a commerce solutions for convenient food ordering system using a mobile application, it designed to revolutionize the food ordering experience for customers. The system's comprehensive evaluation resulted in an impressive overall score of 4.4 out of 5, highlighting its strong performance in usability, accuracy, efficiency, security, portability, and maintainability. The user-centric interface and intuitive design ensure a seamless and hassle-free ordering process, while the application's accuracy in processing orders and managing special instructions enhances customer satisfaction. With efficient response times and robust security measures, the system provides a reliable and secure platform for placing food orders conveniently. Its adaptability across different devices and operating systems ensures broad accessibility, while maintainability allows for future enhancements and updates. Overall, the study presents a promising solution for businesses to offer enhanced services and customers to enjoy a convenient and efficient food ordering experience

Emotion assessment and application in human–computer interaction interface based on backpropagation neural network and artificial bee colony algorithm

Emotion assessment is a challenging task in the human–computer interaction interface. Previous studies have examined the relationship between emotion and color, but they fail to accurately analyze emotional semantics due to the numerous elements in human–computer interaction interfaces. As a result, a combination model of a backpropagation neural network (BPNN) and an artificial bee colony algorithm (ABC) was presented in this paper to predict the emotion semantics of the human–computer interaction interface. The mechanism of generating the weights and thresholds for each layer of BPNN was converted to the search for an optimal honey source. Meanwhile, according to experiment results and evaluation of elements in human–computer interaction interfaces, this paper has assessed the relationships amongst the eight key elements (ratio of graphics to text, color difference, color distribution, color harmony, theme style, white space ratio, frame style, number of colors) and emotion word pairs (moderation-fancy, calm-pleasure, confusing-clear, cold-kind, coarse-elegant). Furthermore, an emotion application database was established to determine how the amalgamation of critical elements affects the users’ feelings about the human–computer interaction interface to help designers build a user-centric interface. Finally, the database can be applied to relieve mental health problems by meeting the psychological expectations of users as mental healthcare intervention during the COVID-19 pandemic. Also, it can help designers to design a pleasurable visual interaction interface for a particular element to convey health-related information and protective measures.

건축주 요구조건 맞춤형 DfMA기반 모듈러 단독주택 설계안 제작을 위한 온라인 플랫폼 구축 방안 연구

Recently, DfMA-based modular research has been active as a solution to the improvement of construction productivity. However, it is difficult to produce a design that satisfies the requirements of the client due to excessive standardization and limited number of architects. On the other hand, online platforms are recently attracting attention as tools for collaboration and communication. Accordingly, this study intends to establish an online platform that can produce DfMA-based modular designs suitable for the requirements of the client. The scope of the study was a small detached house. As for the research method, the platform process was constructed through prior research and technology was developed to materialize this process. In addition, the platform system elements were configured and a user-centered interface was implemented so that the corresponding process could be built on the platform. Through this study, the client will be able to produce a modular design with high satisfaction.

The Potential of Digital Data Collection Tools for Long-lasting Insecticide-Treated Net Mass Campaigns in Nigeria: Formative Study.

BackgroundNigeria has the world’s largest malaria burden, accounting for 27% of the world’s malaria cases and 23% of malaria mortality globally. This formative study describes the operational process of the mass distribution of long-lasting insecticide-treated nets (LLINs) during a campaign program in Nigeria.ObjectiveThis study aims to assess whether and how digital data collection and management tools can change current practices and help resolve major implementation issues.MethodsQualitative data on the technical features and operational processes of paper-based and information and communication technology (ICT)–based systems in the Edo and Kwara states from June 2 to 30, 2017, were collected on the basis of documented operation manuals, field observations, and informant interviews. During the LLIN campaign in Edo State, we recruited 6 local government area focal persons and monitors and documented daily review meetings during household mobilization (9 days) and net distribution (5 days) to understand the major program implementation issues associated with the following three aspects: logistic issues, technical issues, and demand creation. Each issue was categorized according to the expected degree (low, mid, and high) of change by the ICT system.ResultsThe net campaign started with microplanning and training, followed by a month-long implementation process, which included household mobilization, net movement, net distribution, and end process monitoring. The ICT system can improve management and oversight issues related to data reporting and processes through user-centered interface design, built-in data quality control logic flow or algorithms, and workflow automation. These often require more than 50% of staff time and effort in the current paper-based practice. Compared with the current paper-based system, the real-time system is expected to reduce the time to payment compensation for health workers by about 20 days and produce summary campaign statistics for at least 20 to 30 days.ConclusionsThe ICT system can facilitate the measurement of population coverage beyond program coverage during an LLIN campaign with greater data reliability and timeliness, which are often compromised due to the limited workforce capacity in a paper-based system.

A Vax4HPV Mobile Application for Parents of Human Papillomavirus Vaccine-Eligible Children: Iterative Formative Assessments.

Although the human papillomavirus vaccine is efficacious, 40% of 13-year-old adolescents have been vaccinated for human papillomavirus. Implementing theory-based, user-centered applications can address this suboptimal coverage. This formative usability test aimed to develop a theory-based, user-centered interface to stimulate and inform parents' decision making on human papillomavirus vaccination and to help them act upon that decision. Iterative formative assessments were conducted through four focus groups of parents of children aged 9 to 14 years (N = 15). Participants discussed the desired content and features of a vaccine for human papillomavirus smartphone application while reviewing application prototypes. The discussions were recorded, transcribed verbatim, and then underwent qualitative content analysis. Four of the discovered themes were related to the content desired by parents: sources of information, facilitators of human papillomavirus vaccination, addressing the reasons for vaccine hesitancy, and gender-neutral content. The remaining three themes concerned the application's desirable designs and features: clear and descriptive interfaces, accessibility to broad groups of end users, and closing the intention-behavior gap. The need for adolescent human papillomavirus vaccination was generally well received by participants. This study found that theory-based, user-centered applications offering directions to appropriate clinics and human papillomavirus vaccine recommendations offered by nurses, can mitigate hesitancy by providing information via preferred routes and closing intention-behavior gaps.

Do drivers accept cooperative behavior of their automated vehicle on highways?

Automated cooperatively interacting vehicles will change the future of traffic completely. Such vehicles will be capable of planning and carrying out maneuvers based on vehicle-to-vehicle and vehicle-to-infrastructure communication, enabling a safer driving experience. However, this gain of safety will only be effective if drivers use and accept the decisions made by advanced automated technology. Especially when drivers are cognitively distracted, new strategies might be necessary, e.g., by further explaining the reason for a cooperative decision.In a driving simulator study, we investigated the acceptance of lane change maneuvers in cooperative situations carried out by an automated vehicle on a two-lane German highway. When the automated system detected a potential lane change ahead, it carried out one of three possible maneuvers: accelerate, decelerate, or maintain speed. Participants (N = 20) were asked whether they accepted the system’s behavior either while being cognitively distracted or in an attentive state. Thus, we investigated the influence of a cognitively demanding secondary task and, in addition, further situational characteristics (Scope of action, Criticality for the lane-changing vehicle, Display of intention) on the acceptance towards the system’s behavior. Moreover, participants had to rate the perceived situation’s criticality.Results underlined the importance of explicit indication of the intention to change lanes. Furthermore, increased cognitive load led to a higher acceptance of the defensive system behavior. This study contributes to the development of a user-centered interface and interaction strategy for cooperative interacting vehicles.

Usability of Remote Assessment of Exercise Capacity for Pulmonary Telerehabilitation Program.

Pulmonary rehabilitation [PR] has been successfully carried out via telemedicine however initial patient assessment has been traditionally conducted in PR centers. The first step in PR is assessment of patient's exercise capacity which allows individualized prescription of safe and effective exercise program. With COVID-19 pandemics assessment of patients in PR centers has been limited resulting in significant reduction of patients undergoing life-saving PR. The goal of this pilot study was to introduce approaches for remote assessment of exercise capacity using videoconferencing platforms and provide initial usability assessment of this approach by conducing cognitive walkthrough testing. We developed a remote assessment system that supports comprehensive physical therapy assessment necessary for prescription of a personalized exercise program tailored to individual fitness level and limitations in gait and balance of the patient under evaluation. Usability was assessed by conducting cognitive walkthrough and system usability surveys. The usability inspection of the remote exercise assessment demonstrated overall high acceptance by all study participants. Our next steps in developing user-centered interface should include usability evaluation in different subgroups of patients with varying socio-economic background, different age groups, computer skills, literacy and numeracy.