Showing papers on "User Friendly published in 2022"
TL;DR: BIDScoin is introduced, a cross-platform, flexible, and user-friendly converter that provides a graphical user interface (GUI) to help users finding their way in BIDS standard.
Abstract: Analyses of brain function and anatomy using shared neuroimaging data is an important development, and have acquired the potential to be scaled up with the specification of a new Brain Imaging Data Structure (BIDS) standard. To date, a variety of software tools help researchers in converting their source data to BIDS but often require programming skills or are tailored to specific institutes, data sets, or data formats. In this paper, we introduce BIDScoin, a cross-platform, flexible, and user-friendly converter that provides a graphical user interface (GUI) to help users finding their way in BIDS standard. BIDScoin does not require programming skills to be set up and used and supports plugins to extend their functionality. In this paper, we show its design and demonstrate how it can be applied to a downloadable tutorial data set. BIDScoin is distributed as free and open-source software to foster the community-driven effort to promote and facilitate the use of BIDS standard.
8 citations
30 Jun 2022
TL;DR: The biophotonics app enables multidisciplinary and self-paced learning in both in-person or virtual environments as mentioned in this paper , which can work offline and has a user-friendly interface well accepted by students.
Abstract: The biophotonics app enables multidisciplinary and self-paced learning in both in-person or virtual environments. The app can work offline and has a user-friendly interface well accepted by students. App instructions are publicly available.
7 citations
01 Jan 2022
TL;DR: Fuzzy-AHP (analytical hierarchy process) is a powerful method for dealing with subjective information as mentioned in this paper , which is widely applied in medical and health science, and industrial management, mainly agriculture and environmental sciences.
Abstract: Fuzzy-AHP (analytical hierarchy process) is a powerful method for dealing with subjective information. This popular hybrid approach is widely applied in medical and health science, and industrial management, mainly agriculture and environmental sciences. However, it is a complex, time-consuming method, which has induced us to try and optimize the decision-support system process. We create the Fuzzy-AHP algorithm and program in Matlab software, and convert it with the Matlab based graphical user interface (GUI) application. This is a new desktop tool with a wide selection of applications to help decision-makers prioritize choices and/or criteria goals based on expert judgments imported from Excel and a number of criteria. The new technique is designed to allow experts to fill the matrix judgment from both sides depending on the importance of criteria selection. Also, an optional alpha index to define stable or unstable conditions was requested for advanced users. The application was tested and applied in forest recreation and agroforestry case studies. The user-friendly Fuzzy-AHP Matlab GUI facilitates the process analysis speedily and offers an innovative way of enhancing the uncertainty to find the best compromise among experts. The tool is useful for optimizing the decision-support system process in many different fields.
6 citations
TL;DR: Fuzzy-AHP (analytical hierarchy process) is a powerful method for dealing with subjective information as discussed by the authors, which is widely applied in medical and health science, and industrial management, mainly agriculture and environmental sciences.
6 citations
TL;DR: In this paper , the authors focus on the rational design of the catalysts, substrate structures, and reaction conditions that meet the requirements of certain metathesis pathways (e.g., cyclooligomerization, polymerization, self-correction) and will make the catalytic systems more user-friendly and practically useful.
Abstract: Alkyne metathesis (AM), the cousin of the ‘noble' alkene metathesis, has attracted rapidly growing attention within the past 20 years and has been widely used in the synthesis of natural products, functional polymers, and shape-persistent molecular architectures. Given some excellent reviews in recent years, this article will not provide a comprehensive review of the catalyst development and the wide applications of AM, but rather will focus on the rational design of the catalysts, substrate structures, and reaction conditions that meet the requirements of certain metathesis pathways (e.g., cyclooligomerization, polymerization, self-correction) and will make the catalytic systems more user-friendly and practically useful (e.g., operating in air and with long lifetimes and broad substrate scope).
5 citations
TL;DR: The proposed job recommendation system will help the user to overcome difficulties by matching their work experience, skills and other details with appropriate companies suitable for respective user by implementing hybrid filtering.
Abstract: As for today’s era, recruitment can be considered as one of most difficult process to undergo for job seeking candidate. Many fresher candidates face issue while job recruitment process to undergo which field of interest. The proposed system will help the user to overcome this difficulties by matching their work experience, skills and other details with appropriate companies suitable for respective user. The system will also help experienced users in getting their intended job on the basis of their last job profile. The job recommendation algorithm developed is tedious nor complicated and will be using user-friendly approach to implement job search.The proposed system consist of user dataset with various attributes and company dataset with company details. The profile matching of user with the respective companies can be done using various recommendation algorithms such as content-based,collaborative and hybrid filtering. Since, the content-based and collaborative approach have their own disadvantages, so here implement hybrid filtering which overcomes the disadvantages of the content-based and collaborative filtering. The user can expect a well-proof recommendation from our model. The Project will focus of developing the job recommendation system using hybrid filtering. As for today’s era, recruitment can be considered as one of most difficult process to undergo for job seeking candidate. Here, our job recommendation system comes in picture which neither is tedious nor complicated and makes use of user-friendly approach and helps user to accomplish the task easily.The project will also be focusing on developing the android application which will add a better user interface. The Android application will be user friendly and the user just have to fill in basic details such as his past years of experiences, project, internship, etc. That’s it,the rest part of recommending the job to the users will be done safely by the recommendation model of this project.
5 citations
TL;DR: CoreGenes5.0 as mentioned in this paper uses group protein clustering of genomes with one of three algorithm options to output a table of core genes from the input genomes, previously annotated “unknown genes” may be identified with homologues in the output.
Abstract: The determination of core genes in viral and bacterial genomes is crucial for a better understanding of their relatedness and for their classification. CoreGenes5.0 is an updated user-friendly web-based software tool for the identification of core genes in and data mining of viral and bacterial genomes. This tool has been useful in the resolution of several issues arising in the taxonomic analysis of bacteriophages and has incorporated many suggestions from researchers in that community. The webserver displays result in a format that is easy to understand and allows for automated batch processing, without the need for any user-installed bioinformatics software. CoreGenes5.0 uses group protein clustering of genomes with one of three algorithm options to output a table of core genes from the input genomes. Previously annotated “unknown genes” may be identified with homologues in the output. The updated version of CoreGenes is able to handle more genomes, is faster, and is more robust, providing easier analysis of custom or proprietary datasets. CoreGenes5.0 is accessible at coregenes.org, migrating from a previous site.
5 citations
TL;DR: This replicable framework will help cities pursing age-friendly policy action to forge connections across departments, policy makers, community partners, and the public toward broader policy implementation.
Abstract: ABSTRACT Municipalities are important to age-friendly policy implementation and need to be engaged to bring about the desired physical changes and community supports. As a governing unit, municipalities can allocate resources and leverage their capacity by acting in certain ways. As a planning process, age-friendly policies should be embedded in all levels of municipal government to ensure that maximum public benefits can be leveraged. Three strategies effectively illustrate the opportunity toward internal municipal collaboration: analytic mapping enables policy makers to visualize the captured value of public amenities; policy mapping reveals where departments are reinforcing or contradicting age-friendly policy actions; and effective advocacy builds public support and guides municipal agenda setting. San Antonio, Texas, provides a context to illustrate how the strategies can be implemented to further the goal of age-friendly planning as demonstrated through their commitment and designation as an AARP Age-Friendly Community. This replicable framework will help cities pursing age-friendly policy action to forge connections across departments, policy makers, community partners, and the public toward broader policy implementation. Key Points Age-friendly planning should not fall to local departments of senior services only. Planning coordination of age-friendly policy results in more diverse outcomes. Mapping is a tool helping policy makers visualize alternative opportunities. Maps give stakeholders the ability to track and monitor progress. This approach is easily replicable for cities implementing age-friendly programs.
5 citations
TL;DR: PreCICE as mentioned in this paper is a free/open-source coupling library that enables creating partitioned multi-physics simulations by gluing together separate software packages, and it has been used in more than 100 research groups.
Abstract: preCICE is a free/open-source coupling library. It enables creating partitioned multi-physics simulations by gluing together separate software packages. This paper summarizes the development efforts in preCICE of the past five years. During this time span, we have turned the software from a working prototype -- sophisticated numerical coupling methods and scalability on ten thousands of compute cores -- to a sustainable and user-friendly software project with a steadily-growing community. Today, we know through forum discussions, conferences, workshops, and publications of more than 100 research groups using preCICE. We cover the fundamentals of the software alongside a performance and accuracy analysis of different data mapping methods. Afterwards, we describe ready-to-use integration with widely-used external simulation software packages, tests, and continuous integration from unit to system level, and community building measures, drawing an overview of the current preCICE ecosystem.
4 citations
TL;DR: In this article , the authors present an approach to automate chemical reactions through tools such as Rxn Rover in research and development, which is an enabling technology to reduce cost and waste management in technology transformations towards renewable feedstocks and energy in the chemical industry.
Abstract: Automation of chemical reactions through tools such as Rxn Rover in research and development is an enabling technology to reduce cost and waste management in technology transformations towards renewable feedstocks and energy in the chemical industry.
4 citations
TL;DR: Although tailored for medium-sized phylogenetic projects, Concatenator is able to process phylogenomic data sets of up to 30,000 markers and includes the option to (re)align markers with MAFFT and produces exploratory trees with FastTree.
Abstract: Abstract Motivation Phylogenetic and phylogenomic analyses require multi-gene input files in different formats, but there are few user-friendly programs facilitating the workflow of combining, concatenating or separating, aligning and exploring multi-gene datasets. Results We present Concatenator, a user-friendly GUI-driven program that accepts single-marker and multi-marker DNA sequences in different input formats, including Fasta, Phylip and Nexus, and that outputs concatenated sequences as single-marker or multi-marker Fasta, interleaved nexus or Phylip files, including command files for downstream model selection in IQ-TREE. It includes the option to (re)align markers with MAFFT and produces exploratory trees with FastTree. Although tailored for medium-sized phylogenetic projects, Concatenator is able to process phylogenomic datasets of up to 30 000 markers. Availability and implementation Concatenator is written in Python, with C extensions for MAFFT and FastTree. Compiled stand-alone executables of Concatenator for MS Windows and Mac OS along with a detailed manual can be downloaded from www.itaxotools.org; the source code is openly available on GitHub (https://github.com/iTaxoTools/ConcatenatorGui).
22 Oct 2022
TL;DR: This preliminary exploration investigated the usability and user-friendliness of data visualization sonification for screen-reader users and utilized the findings to extend the functionality of Sonifier—an open-source JavaScript library that enables developers to sonify online data visualizations.
Abstract: Sonification is a commonly used technique to make online data visualizations accessible to screen-reader users through auditory means. While current sonification solutions provide plausible utility (usefulness) to screen-reader users in exploring data visualizations, they are limited in exploring the quality (usability) of the sonified responses. In this preliminary exploration, we investigated the usability and user-friendliness of data visualization sonification for screen-reader users. Specifically, we evaluated the Pleasantness, Clarity, Confidence, and Overall Score of discrete and continuous sonified responses generated using various oscillator waveforms and synthesizers through user studies with 10 screen-reader users. Additionally, we examined these factors using both simple and complex trends. Our results show that screen-reader users preferred distinct non-continuous responses generated using oscillators with square waveforms. We utilized our findings to extend the functionality of Sonifier—an open-source JavaScript library that enables developers to sonify online data visualizations. Our follow-up interviews with screen-reader users identified the need to personalize the sonified responses per their individualized preferences.
01 Sep 2022
TL;DR: In this paper , a web-based Robot Operating System (ROS) learning environment with its own set of tools is presented, which can be accessed from either computer, mobile phone or tablet.
Abstract: In this research, we have developed a web-based Robot Operating System (ROS) learning environment with its own set of tools. Our system is a comprehensive learning environment where students can go through the tutorials using the web interface and use our web-based development environment for writing scripts. Furthermore, students can use the web-based Gazebo simulator to visualize the robots. In addition, our learning environment also has its own set of tools that students can utilize for testing and troubleshooting robots. One of the other benefits of our system is that it is platform independent, and hence it can be accessed from either computer, mobile phone or tablet. Our system also has a dropdown for selecting commands. In this, all the descriptions and syntaxes of the commands are predefined and populated whenever a command is added from the dropdown. In addition, we have developed multiple other features that make this system much easier to use and user-friendly. In order to verify the usability of the system, we have performed a heuristic evaluation, and our findings show that the system complies with nine of the ten heuristics in Nielsen’s framework. In addition, our system complies with twelve of the fourteen heuristics in Zhang’s framework. We performed a performance evaluation as well. In this, we compared the performance of simulating our web-based system against running the same simulation directly from a Linux-based ROS server using the Gazebo client. The results showed that our system was faster by a small margin.
24 Feb 2022
TL;DR: ClicSAND as discussed by the authors is a user interface for OSeMOSYS users to analyse energy system models in terms of investment planning and optimal allocation of resources, which is only available for Windows users with at least 8 GB RAM and an installed Windows Access database.
Abstract: Abstract clicSAND is a user interface for OSeMOSYS users to analyse energy system models in terms of investment planning and optimal allocation of resources. The first version was only available for Windows users with at least 8 GB RAM and an installed Windows Access database to visualise the results. This paper presents an updated version of the software called clicSANDMac, which was specifically developed for macOS OSeMOSYS users and overcomes the previous limitations – as described in Section 1. The main changes to the software, its functionalities, and configuration are presented in Section 2. The paper ends with Section 3, which provides suggestions for future work and the potential impact of the clicSANDMac software.
TL;DR: PreCICE as mentioned in this paper is a free/open-source coupling library that enables creating partitioned multi-physics simulations by gluing together separate software packages, and it has been used in more than 100 research groups.
Abstract: preCICE is a free/open-source coupling library. It enables creating partitioned multi-physics simulations by gluing together separate software packages. This paper summarizes the development efforts in preCICE of the past five years. During this time span, we have turned the software from a working prototype -- sophisticated numerical coupling methods and scalability on ten thousands of compute cores -- to a sustainable and user-friendly software project with a steadily-growing community. Today, we know through forum discussions, conferences, workshops, and publications of more than 100 research groups using preCICE. We cover the fundamentals of the software alongside a performance and accuracy analysis of different data mapping methods. Afterwards, we describe ready-to-use integration with widely-used external simulation software packages, tests and continuous integration from unit to system level, and community building measures, drawing an overview of the current preCICE ecosystem.
TL;DR: In this paper , an easy, user-friendly, and low-cost method employing an MPU6050 sensor and ESP32 microcontroller is utilized and a customized graphic user interface (GUI) has been developed.
01 Jan 2022
TL;DR: In this article , a user-friendly estimation toolbox for industrial measurements of (vibro-acoustic) systems with multiple inputs is presented. But the toolbox can be used even in case of multiple inputs with only one measured period, which is not possible with the classical FRF estimator frameworks.
Abstract: This paper introduces a user-friendly estimation toolbox for (industrial) measurements of (vibro-acoustic) systems with multiple inputs. The vibration testing methods are very important because they help to improve the product quality and to avoid safety and comfort issues. The time-consuming testing procedures are nowadays fully substituted by techniques that evaluates the frequency response functions (FRFs).The toolbox provides a user-friendly nonparametric estimation method that uses a special combined Local Polynomial/Rational approach. The toolbox can be used even in case of multiple inputs with only one measured period — that would be not possible with the classical FRF estimator frameworks.
TL;DR: The authors' own research experience in the identification of mobile health applications on the application stores, along with trends noted in other mobile health research, are explained and suggestions on how the application store experience could be improved for both patients and health professionals are made.
Abstract: The utilization of mobile health applications to help manage health conditions have grown in utilization within the past decade. However, the application stores (i.e. Google and Apple) are not designed in a user-friendly manner that allows consumers to identify high-quality health and medical-related mobile applications. Researchers have been interested in identifying applications that may be recommended for patient care but have found the ability to quantify and assess these applications to be difficult due to the current layout and organization of applications. We explain here in this brief communication our own research experience in the identification of mobile health applications on the application stores, along with trends noted in other mobile health research, and make suggestions on how the application store experience could be improved for both patients and health professionals. These include collaboration between developers, medical professionals and organizations, and technology companies to facilitate a better means of categorizing health applications for patient use, alongside other current endeavors being pursued such as application review organizations and the creation of digital health formulary databases.
TL;DR: The participatory health research (PHR) approach was indispensable for the design of the needs-oriented, patient-friendly website and participants’ high levels of participation strongly contributed to the products’ quality.
Abstract: High-quality and user-friendly patient information material (PIM) is essential for understanding and accepting a new care programme. When optimising the PIM of the integrated, cross-sectoral psycho-oncological (isPO) care programme, the design of the fifth element of the patient information strategy—the patient-friendly website—was still pending. In this paper, the iterative design process of the patient-friendly isPO website is described. We applied the participatory health research (PHR) approach to enable high levels of participation of its respective end-users (e.g., cancer survivors), service providers, and experts. The design included six steps: (1) initiation, (2) planning, (3) initial idea exploration, (4) creation of a first working version, (5) three optimisation loops, and (6) dissemination. An exploratory mixed-methods design has been used. Qualitative data collection included document analysis, interviews, and participatory action research (PAR) loops with focus groups. Finally, the quality of the newly designed website was quantitatively assessed with the UPIM-Check, a user-friendly instrument for assessing and optimising PIM. The PHR approach was indispensable for the design of our needs-oriented, patient-friendly website. Participants’ high levels of participation strongly contributed to the products’ quality. The final descriptive statistical evaluation shows that the final website was rated very good on average by its end-users.
TL;DR: Truenat, a chip-based microPCR test, is one such point of care diagnostic tool which has comparable limit of detection ( < 5 malaria parasites per microlitre) with PCR and has shown proven benefits in identifying sub-microscopic Plasmodium infections in low resource settings due to its easy operations and cost-effectiveness.
01 Jan 2022
01 Mar 2022
TL;DR: In this article , the prototype of KARLI, the Kid-friendly Augmented Reality Learning Interface for in-school use, is presented for age level 8 to 10, enabling pupils to explore a 3D model of the human body based on the primary school curriculum.
Abstract: Acquiring health knowledge is essential and starts already in primary school. Augmented Reality (AR) helps to convey complex topics in a more understandable way. In this paper, we present the prototype of KARLI, the “Kid-friendly Augmented Reality Learning Interface”. This AR smartphone app for in-school use is designed for age level 8 to 10, enabling pupils to explore a 3D model of the human body based on the primary school curriculum. Underlining the importance of kid-friendly app development and testing, our evaluation results of 38 pupils and 3 teachers indicate that KARLI is suitable and helpful for health education in primary schools.
TL;DR: The Cardio PyMEA application, a free, modifiable, and open source program for the analysis of microelectrode array (MEA) data obtained from cardiomyocyte cultures, makes use of object-oriented programming principles to facilitate the relatively straightforward incorporation of custom functionalities that suit the needs of the user.
Abstract: Open source analytical software for the analysis of electrophysiological cardiomyocyte data offers a variety of new functionalities to complement closed-source, proprietary tools. Here, we present the Cardio PyMEA application, a free, modifiable, and open source program for the analysis of microelectrode array (MEA) data obtained from cardiomyocyte cultures. Cardio PyMEA was written entirely in Python 3 to provide an accessible, integrated workflow that possesses a user-friendly graphical user interface (GUI) written in PyQt5 to allow for performant, cross-platform utilization. This application makes use of object-oriented programming (OOP) principles to facilitate the relatively straightforward incorporation of custom functionalities, e.g. power law analysis, that suit the needs of the user. Cardio PyMEA is available as an open source application under the terms of the GNU General Public License (GPL). The source code for Cardio PyMEA can be downloaded from Github at the following repository: https://github.com/csdunhamUC/cardio_pymea.
TL;DR: A user-friendly wrist-wearable device combined with a web-based application that obtains the photoplethysmogram from the subject’s wrist and simultaneously extracts, in real time, the physiological parameters of heart rate, blood oxygen saturation and respiratory rate based on algorithms embedded on the wearable device.
Abstract: Elderly people feel vulnerable especially after they are dismissed from health care facilities and return home. The purpose of this work was to alleviate this sense of vulnerability and empower these people by giving them the opportunity to unobtrusively record their vital physiological parameters. Bearing in mind all the parameters involved, we developed a user-friendly wrist-wearable device combined with a web-based application, to adequately address this need. The proposed compilation obtains the photoplethysmogram (PPG) from the subject’s wrist and simultaneously extracts, in real time, the physiological parameters of heart rate (HR), blood oxygen saturation (SpO2) and respiratory rate (RR), based on algorithms embedded on the wearable device. The described process is conducted solely within the device, favoring the optimal use of the available resources. The aggregated data are transmitted via Wi-Fi to a cloud environment and stored in a database. A corresponding web-based application serves as a visualization and analytics tool, allowing the individuals to catch a glimpse of their physiological parameters on a screen and share their digital information with health professionals who can perform further processing and obtain valuable health information.
01 Jan 2022
TL;DR: In this paper , the authors presented the methodology for determining ecological and technological limitations in the use of agricultural landscapes using GIS tools and analyzed it on the example of agricultural landscape of the Vinnytsia Municipal Territorial Community (MTC).
Abstract: SUMMARY The report presents the methodology for determining ecological and technological limitations in the use of agricultural landscapes using GIS tools and analyses it on the example of agricultural landscapes of the Vinnytsia Municipal Territorial Community (MTC). It is proved, that digital relief model generated with GIS tools can be used to plan and form environmentally friendly agricultural landscape use with high accuracy and efficiency.
TL;DR: This study followed Nielsen’s usability model to identify user requirements from five aspects, namely learnability, efficiency, memorability, error, and satisfaction, and found that speech recognition technology can help seniors access information quickly.
Abstract: The advancement of mobile technologies has motivated countries around the world to aim for smarter health management to support senior citizens. However, the use of mobile health applications (mHealth apps) among senior citizens appears to be low. Thus, drawing upon user expectations, the present study examined user requirements for a senior-friendly mHealth application. A total of 74 senior citizens were interviewed to explore the difficulties they encounter when using existing mobile apps. This study followed Nielsen’s usability model to identify user requirements from five aspects, namely learnability, efficiency, memorability, error, and satisfaction. Based on the results, a guideline was proposed pertaining to usability and health management features. This guideline offers suggestions for mHealth app issues related to phrasing, menus, simplicity, error messages, icons and buttons, navigation, and layout, among others. The study also found that speech recognition technology can help seniors access information quickly. The proposed guideline and findings offer valuable input for software and app developers in building more engaging and senior-friendly mHealth apps.
TL;DR: In this article , a new Matlab Graphical User-Friendly Interface (GUI) is introduced for the analysis of cellular Raman spectroscopy data, where three main steps of data analysis embedded in the GUI include spectral processing, pattern recognition and model validation.
TL;DR: In this article , the authors reviewed the emerging trend and applications of recent biosensor research utilizing reusable and biodegradable components and discussed the challenges of future development were discussed to overview the consideration of the subsequent research roadmap.
Abstract: The pandemic of coronavirus diseases 2019 (COVID-19) attracts dramatic attention worldwide that biosensing technology plays an essential role in screening, tracing, and diagnostics of the diseases in society. The World Health Organization (WHO) recommends the significant features of biosensor development, called ASSURED: affordable, sensitive, specific, user-friendly, rapid and robust, equipment-free, and delivered to the end-user. Consequently, the practical, low-cost, and environmentally friendly components of biosensors are urgently required in the future for such cases of massive tests in homecare and point of care. This article reviews the emerging trend and applications of recent biosensor research utilizing reusable and biodegradable components. The challenges of future development were discussed to overview the consideration of the subsequent research roadmap.
21 Sep 2022
TL;DR: CoviRx as discussed by the authors is a platform for drug repurposing data for COVID-19 data, which is manually curated for the purpose of drug adjuvant selection.
Abstract: Although various vaccines are now commercially available, they have not been able to stop the spread of COVID-19 infection completely. An excellent strategy to quickly get safe, effective, and affordable COVID-19 treatment is to repurpose drugs that are already approved for other diseases as adjuvants along with the ongoing vaccine regime. The process of developing an accurate and standardized drug repurposing dataset requires a considerable level of resources and expertise due to the commercial availability of an extensive array of drugs that could be potentially used to address the SARS-CoV-2 infection. To address this bottleneck, we created the CoviRx platform. CoviRx is a user-friendly interface that provides access to the data, which is manually curated for COVID-19 drug repurposing data. Through CoviRx, the data curated has been made open-source to help advance drug repurposing research. CoviRx also encourages users to submit their findings after thoroughly validating the data, followed by merging it by enforcing uniformity and integ-rity-preserving constraints. This article discusses the various features of CoviRx and its design principles. CoviRx has been designed so that its functionality is independent of the data it dis-plays. Thus, in the future, this platform can be extended to include any other disease X beyond COVID-19. CoviRx can be accessed at www.covirx.org.
TL;DR: In this article , the authors conducted a user experience test on Frog Virtual Learning Environment (VLE), which revealed that the website is not user-friendly which has been proved by the usability score about 60% or below avarage.
Abstract: Education website is becoming popular to student in learning and accessing education materials. One of the education learning system adopted by Malaysia government which is Frog Virtual Learning Environment (VLE). This website has been used by all students around Malaysia. In order to have an effective learning environment during study, the website need to be tested by users to give feedbacks how the feel of the website after use. The purpose of this study is to perform user experience (UX) test on Frog Virtual Learning Environment (VLE). The UX test was conducted at computer laboratory of Sekolah Menengah Al Madrasah Al Alawiyah Ad Diniah Perlis with 6 students who have ever used the website rarely. During the test user was given several tasks regarding to the website while the facilitators conducted observation in order to analyze the usability metrics. The data gathered will reveal the strengths and weeknesses of the website. Usability Score is measured based on ISO usability metrics including effectiveness, efficiency and satisfaction. The result of this UX test revealed that the website is not user-friendly which has been proved by the usability score about 60% or below avarage. It is expected that this study could be adopted by software engineers or usability testers to produce a user-friendly education learning website that make students comfortable and easy to use the website.