User-friendly Design Research Articles

Becoming Healthier without Paying More? Experimental Evidence from the Impact of Multiple Traffic Lights on Chinese College Students.

The prevalence of overweight and obesity among Chinese residents has become a pressing public health concern. The UK Multiple Traffic Light labeling system, known for its user-friendly design, has demonstrated success in promoting healthier food choices. This paper presents novel findings from a randomized controlled experiment assessing the impact of traffic light labeling on Chinese consumers' food choices. Results indicate that the label significantly reduces the intake of calories, fat, carbohydrates, and sodium without increasing the economic costs of food choices. This study contributes empirical evidence to the effectiveness of traffic light labeling in China, with implications for the country's approach to front-of-pack nutrition labeling.

IsolateR: an R package for generating microbial libraries from Sanger sequencing data.

Sanger sequencing of taxonomic marker genes (e.g. 16S/18S/ITS/rpoB/cpn60) represents the leading method for identifying a wide range of microorganisms including bacteria, archaea, and fungi. However, the manual processing of sequence data and limitations associated with conventional BLAST searches impede the efficient generation of strain libraries essential for cataloging microbial diversity and discovering novel species. isolateR addresses these challenges by implementing a standardized and scalable three-step pipeline that includes: (1) automated batch processing of Sanger sequence files, (2) taxonomic classification via global alignment to type strain databases in accordance with the latest international nomenclature standards, and (3) straightforward creation of strain libraries and handling of clonal isolates, with the ability to set customizable sequence dereplication thresholds and combine data from multiple sequencing runs into a single library. The tool's user-friendly design also features interactive HTML outputs that simplify data exploration and analysis. Additionally, in silico benchmarking done on two comprehensive human gut genome catalogues (IMGG and Hadza hunter-gather populations) showcase the proficiency of isolateR in uncovering and cataloging the nuanced spectrum of microbial diversity, advocating for a more targeted and granular exploration within individual hosts to achieve the highest strain-level resolution possible when generating culture collections. isolateR is available at: https://github.com/bdaisley/isolateR.

Interactive Digital Lessons for Alkaline Group Elements via Articulate Storyline 3

In chemistry subjects, one of the things studied is alkaline elemental chemistry. Learning elemental chemistry is not only memorization but requires a thought process to understand it, so learning media is needed. Articulate Storyline 3 is an intuitive program equipped with robust features for developing educational media. Its user-friendly design, similar to PowerPoint, and allows teachers to easily create engaging learning materials. The research aims to produce interactive learning media that were suitable for use in alkaline group elemental materials using articulate storyline 3. The development of this media used a define, design, develop, and disseminate (4-D) model. The learning media was validated by two experts and tested for readability with 12th-grade students. The development research results showed high feasibility, with material experts rating it at 86%, media experts at 84%, and student readability at 85%. Thus, the development of this learning media had met the high feasibility of use.

Design and Build a KIT Humoris (Ohm's Law for Dynamic Electricity) for Science Learning in Junior High School

The role of tools as educational media is crucial in facilitating the learning of scientific concepts, allowing students to master science materials and develop their skills effectively. This research aims to develop a KIT as an experimental approach to learning focused on investigating the relationships among voltage, current, resistance, and power. This study employs a research and development (R&D) approach to design and implement an impactful science learning tool for science experiments. The envisioned impact of this learning tool is to captivate students' interest and concept understanding in science education, especially in Ohm's law for the dynamic electricity topic. The design of the KIT Humoris is specifically structured to establish and illustrate the relationships between voltage, current, and resistance, as well as to calculate power based on voltage and current values. The user-friendly design and visually appealing features of the KIT Humoris make it a practical tool that enhances the tangible understanding of science concepts. Integrating this tool with the Merdeka Curriculum allows teachers to customize lessons according to the unique needs of their students. The design process involves meticulous planning, prototype development, and continuous evaluation to ensure the tool's effectiveness. Results from the trial phase indicate heightened student engagement, improved conceptual understanding, and a profound practical learning experience. KIT Humoris is a valuable science learning tool, providing an engaging and practical approach aligned with the Merdeka Curriculum. Its successful implementation increases student enthusiasm and a deeper comprehension of scientific principles. The implications are contributing to the innovation of teaching methods, especially in the context of the Merdeka Curriculum. From a practical standpoint, the tool has a positive impact on students and their understanding of science concepts.

Safety Aspects of In-Vehicle Infotainment Systems: A Systematic Literature Review from 2012 to 2023

This systematic literature review investigates the safety aspects of in-vehicle infotainment systems (IVISs) from 2012 to 2023, analyzing 96 studies. IVISs have significantly evolved, incorporating technologies such as navigation systems, parking assistance, and video games. However, these innovations introduce safety concerns like driver distraction and cognitive overload. This review identifies six primary safety issues: driving distraction, situational awareness, cognitive load, driving performance, interaction success, and emotional state. Head-down displays and touchscreens often have negative safety implications, while speech-based interfaces and Bluetooth-integrated systems are generally considered safer. Suggested improvements include enhancing interface design for touchscreens and exploring gesture-based alternatives. Despite these developments, significant gaps remain in real-world evaluations and studies in diverse driving conditions, highlighting the need for standardized manufacturing norms. Addressing these issues is essential for creating future IVIS that are both reliable and safe. This review serves as a foundation for future research, safety regulations, and design principles aimed at improving IVIS safety. Overcoming these challenges will require a multi-faceted approach that considers user-friendly design, adaptive technologies, and predictive analytics. The goal is to balance technological advancements with road safety, ensuring that IVISs contribute to a safer driving experience without compromising convenience and functionality.

Students’s Attitudes Toward the Use of CANVAS in the EFL Virtual Learning Environment

This study examines students’ attitudes toward the Learning Management System (hereafter LMS) CANVAS in the Virtual Learning Environment (henceforth VLE). This study used mixed methods in nature, which used a survey to collect data on the attitudes of 118 EFL students who enrolled in the Technology Enhanced Language Learning (hereafter TELL) course. Researchers gathered data through a questionnaire and semi-structured interviews to assess students’ attitudes using the Technology Acceptance Model (TAM). The survey results were analyzed using descriptive statistics to investigate the quantitative data, while thematic analysis was used to study the qualitative data obtained from interviews. The survey results were analyzed using descriptive statistics to investigate the quantitative data, while thematic analysis was used to study the qualitative data obtained from interviews. Based on the research findings, the TAM framework identifies two main categories: Perceived Usefulness and Perceived Ease of Use. The Perceive Usefulness category comprises four categories: CANVAS Engagement Time, CANVAS Enhances Interaction, Learning Efficacy, and Effective Communication, CANVAS Enhances Language Learning, and CANVAS Boosting Students’ Confidence and Motivation in a Fun Way. In addition, the Perceive Ease of Use category comprises three categories: CANVAS Usability in Mobile Learning Environments, CANVAS User-Friendly Design, and CANVAS Seamless Navigation and Accessibility.

Bedside Nurse Documentation Practices: At the Patient Bedside or Not?

High-quality care requires precise and timely provider documentation. Hospitals have used technology to document patient care within both the inpatient and outpatient areas and long-term care facilities. Research has demonstrated, by revealing a reduction in medical errors, that there has been a worldwide improvement in our community health and welfare since the implementation and utilization of documenting patient care electronically. Although electronic documentation has proven to be an improvement in patient record keeping, the most efficient location in which this documentation is to occur remains a question. At the location where this project took place, only the ICU had computers within the patient rooms for documentation purposes. This project evaluated bedside nurses' opinions related to the efficiency of documentation practices compounded by the location where documentation took place. The options were at the patient's bedside, on a workstation on wheels, or at the nursing station. Surveys were provided to bedside nursing staff both before and after computers were installed in patients' rooms in surgical and medical/surgical nursing units at a Veteran Affairs Medical Center located in the Northeastern region of the United States. The results of this project inconclusively answer the question posed: "Which mode of entry do nurses feel is more efficient to document patient care, on a computer in the patient room, at the nurses' station, or on a workstation on wheels?" Innovative strategies should be explored to develop a user-friendly design for computers located within the patient rooms for patient documentation.

An IoT-assisted Intelligent Monitoring System

Objective: The usage of power and automated control systems can save energy, but creating an intelligent control system via the Internet of Things (IoT) is an advanced technique because it provides remote access and control through the Internet, especially for those who are facing issues with monitoring their home’s smart gears remotely. In this sense, NodeMcu is an internet-enabled device that operates under different conditions to monitor smart home gear securely. Methods: Therefore, this research has been conducted to provide a solid platform for remote home control and monitoring, together with a complete solution. In this research, we have built a small model by integrating hardware components and connecting online to Google Firebase, allowing the end-user to monitor and control their online home environment efficiently. Results: The online interface helps end-users care for their home equipment, lock doors, and install all intelligent gear inside smart homes. This interface ensures efficient and seamless interaction with all integrated smart home devices, enhancing the user experience and providing a higher level of convenience and security. Through this platform, end-users can perform a wide range of tasks such as adjusting lighting, regulating temperature, monitoring security cameras, and managing energy consumption. The system’s user-friendly design and reliable connectivity ensure that users can maintain control over their home environment from any location with internet access. Conclusion: The proposed model is Cost effective, making it accessible to a boarder demographic. This advancement in home automation enhances security and improves the overall management of smart home system.

Usability Analysis of User Interface (UI) Design Using the Heuristics Method on Library Website

The library website is an important portal for users to access information, especially in the context of education and research. An evaluation of the quality of the Yogyakarta State University library website was conducted to ensure that the site meets the principles of usability, using the heuristic method developed by Jacob Nielsen. This method aims to determine usability issues in user interface design. Observation of the library.uny.ac.id website shows several problems with the user interface that can affect user experience. This research aims to evaluate and provide recommendations for improvements to the usability of the interface design of the Yogyakarta State University library website. This research method is qualitative through a literature approach that involves a critical and in-depth study of various library materials relevant to the topic of the problem. The results of the study are expected to be information and evaluation materials to develop programs and improve the library website to make it more attractive, informative, innovative, and easy to use by all users. This evaluation also emphasizes the importance of easy access, attractive appearance, and user-friendly design to increase user satisfaction and prevent them from switching to other better websites.

Paper based analytical platforms: A matrix adaptable approach to drug testing

Paper-based analytical devices (PADs) are becoming increasingly popular for drug analysis in various matrices. These affordable, portable platforms come with a range of benefits, such as their user-friendly design, straightforward operation, and minimal need for sample preparation. This study evaluates the potential applications of PADs in drug testing with a particular emphasis on the adaptability of PADs in terms of their ability to handle various types of samples during the testing process. In this study, the design, manufacturing, and performance of PADs for drug detection, as well as the influence that different biological samples have on the performance of PAD performance were investigated. PADs are discussed in this paper, with respect to their applications in forensic sample analysis, point-of-care testing and illicit drug testing. The study demonstrates the flexibility of PADs as platforms for drug testing in varied matrices. The authors highlight the fact that PADs are inexpensive, portable, user-friendly, and need minimum sample preparation, which makes them effective instruments in a variety of situations, including research, law enforcement, and healthcare. On the whole, this paper highlights the versatility of PADs, emphasizing their role as adaptable platforms for drug testing within different matrices. Scientists and professionals can utilize these cutting-edge devices to improve the efficiency and accessibility of drug analysis.

Designing UI/UX for Mobile Learning on Programming Language Material Using the Design Thinking

The rapid advancement of technology in the Industry 4.0 revolution has driven organizations to adapt through digital transformation, including in the field of education, allowing for more efficient and effective learning processes in line with the needs of society5.0. This article discusses the UI/UX design of a mobile learning application for programming language material using the Design Thinking method, which includes five stages: Empathize, Define, Ideate, Prototype, and Testing, with a focus on user understanding and needs. The design process involves creating prototypes and testing to ensure a user-friendly design. The main features of the application include a splash screen, welcome page, login and sign-up pages, home page, material pages, notes, user profile, and an Executor feature for writing and running code directly. Testing results using the System Usability Scale (SUS) showed an average score of 65, falling into the "adequate" category, indicating that the design functions well. However, further research is needed to refine this application, highlighting the importance of a structured and user-focused approach in designing digital educational applications.

Interactive Learning Resources for the Digital Age: A Needs Analysis of Digital Textbook Development

The purpose of this research is to analyze the need for developing digital textbooks as interactive learning aids in the digital era. A survey with a research instrument in the form of a questionnaire was utilized as the research method. The questionnaire was distributed to 40 class VII pupils. Data analysis techniques employ descriptive statistics to identify the primary needs of students, as well as the design and desired interactive elements in digital textbooks. According to the requirements analysis, digital textbooks must have practice questions and answer keys, video and audio, student activity sheets, and relevant pictures. Furthermore, digital textbooks are simple to use, with Indonesian, colorful, easy-to-understand content and easy-to-read font kinds and sizes. These findings will serve as the foundation for the creation of digital textbooks that will improve the efficacy of learning in the digital age. Highlights : Interactive Elements: Digital textbooks should include practice questions, answer keys, multimedia (video and audio), activity sheets, and relevant images. User-Friendly Design: Textbooks need to be easy to use with clear, colorful content, and easy-to-read fonts in the Indonesian language. Educational Impact: The development of digital textbooks based on these findings aims to enhance the effectiveness of learning in the digital age. Keywords : digital era; digital textbook; interactive learning resources; needs analysisv

Website for Online Election System

The goal of this article is to present the design and execution of an online voting system that will improve the election process's accessibility, security, and efficiency. The integrity and confidentiality of votes cast are guaranteed by the proposed system, which makes use of secure web technologies and contemporary cryptography techniques. Real-time result tabulation, end-to-end encryption, and user authentication are important features. Regardless of their level of technical expertise, voters may easily traverse the platform thanks to the user-friendly design of the system. Strong safeguards are also put in place to guard against fraud and guarantee voters' confidentiality, answering worries about the possibility of cyberattacks and illegal access. The online voting system has undergone extensive testing and review, and the results show that it significantly outperforms traditional voting systems in terms of voter participation rates, convenience, and accuracy.

CampusTrace- Application for Lost and Found Items on Campus

CampusTrace transforms the systems of lost and found items in campus environments by improving the process of reporting lost or found items and ensures the proper returns of the item to its rightful owners. It enhances social responsibility by encouraging people to collaborate with their owners in recovering the lost. Due to its user-friendly design, Campus Trace simplifies the process of searching for lost items and increases recovery efficiency by giving users a good user experience. The system offers several privacy methods in securing user data and requires admin authentication for item claims. This platform makes it not only easier to recover your lost things but also add cooperation and engagement within the campus community.

Enhancing Serious Game Design: Expert-Reviewed, Stakeholder-Centered Framework.

Traditional serious game design methods often overlook stakeholder needs. This study integrates stakeholder theory and enterprise architecture (EA), along with the Architecture Development Method, to propose a novel framework for serious game design. Crafted to aid practitioners, researchers, and specialists in leveraging resources more effectively, the framework is validated through a design science research methodology. Expert reviews have further refined its features, making it a robust tool for enhancing serious game design and implementation. This paper introduces a framework for designing serious games, covering stakeholder analysis, requirements gathering, and design implementation planning. It highlights the importance of expert review in validating and refining the framework, ensuring its effectiveness and reliability for use in serious game design. Through critical assessment by experts, the framework is optimized for practical application by practitioners, researchers, and specialists in the field, ensuring its utility in enhancing serious game development. The next step will be to validate the framework empirically by applying it to a serious game development project. We developed and validated a conceptual framework for serious game design by synthesizing stakeholder theory and EA through literature review, concept mapping, and theory development by way of a design science research approach. The framework is iteratively refined and validated via expert review, drawing on insights from professionals experienced in serious games, stakeholder theory, and EA. This method ensures the framework's practical relevance and effectiveness in addressing real-world design challenges. An expert review by 29 serious game practitioners validated the framework's success in stakeholder management, confirming its stakeholder-centered effectiveness. Although the experts praised its structured approach, they suggested clearer guidance for game design elements. In addition, the experts, while acknowledging the framework's complexity, saw its depth as valuable for efficient management. The consensus calls for a refined balance between detailed functionality and user-friendly design, with the framework's impact on stakeholder capabilities revealing a spectrum of professional needs. This paper presents a framework for creating effective and organizationally aligned serious games. Evaluated across execution, practical, and EA levels, it is logical but varies in ease of understanding, with experts calling for more accessibility at the EA level. It enhances stakeholder efficiency and management but is criticized for rigidity and a need for flexibility. Recommendations include streamlining the framework, enhancing clarity, reducing administrative tasks, and incorporating clear guidelines on technology use, motivational elements, and operational tools. This aims to help stakeholders produce more targeted and adaptable game designs. The next iteration will be developed after application to a project and team feedback.

Investigating influencing factors of learning satisfaction in AI ChatGPT for research: University students perspective

This study investigates the determinants of ChatGPT adoption among university students and its impact on learning satisfaction. Utilizing the Technology Acceptance Model (TAM) and incorporating insights from interaction learning, collaborative learning, and information quality, a structural equation modeling approach was employed. This research collected valuable responses from 262 students at King Faisal University in Saudi Arabia through the use of self-report questionnaires. The data's reliability and validity were assessed using confirmation factor analysis, followed by path analysis to explore the hypotheses in the proposed model. The results indicate the pivotal roles of interaction learning and collaborative learning in fostering ChatGPT adoption. Social interaction played a significant role, as researchers engaging in conversations and knowledge-sharing expressed increased comfort with ChatGPT. Information quality was found to substantially influence researchers' decisions to continue using ChatGPT, emphasizing the need for ongoing improvement in the accuracy and relevance of content provided. Perceived ease of use and perceived usefulness played intermediary roles in linking ChatGPT engagement to learning satisfaction. User-friendly interfaces and perceived utility were identified as crucial factors affecting overall satisfaction levels. Notably, ChatGPT positively impacted learning motivation, indicating its potential to enhance student engagement and interest in learning. The study's findings have implications for educational practitioners seeking to improve the implementation of AI technologies in university students, emphasizing user-friendly design, collaborative learning, and factors influencing satisfaction. The study concludes with insights into the complex interplay between AI-powered tools, learning objectives, and motivation, highlighting the need for continued research to comprehensively understand these dynamics.

Fintrack (Personal Finance Tracker)

Fintrack is a comprehensive personal finance tracker designed to empower people to take control of their financial well-being. This summary provides an overview of Fintrack's main functions, features and potential impact on personal financial management. Fintrack provides its users with a centralized platform to track and manage their finances easily and efficiently. The platform allows users to add their financial accounts, including bank accounts, credit cards, loans and investments, providing a holistic view of their financial situation. With Fintrack, users can easily categorize transactions, set budgets and track their spending habits in real time. The platform's intuitive user interface and user-friendly design streamline the budgeting process, helping users identify savings goals and optimize their financial habits. Fintrack allows users to set and track financial goals, whether it's saving for a major purchase, paying off debt or planning for retirement. The platform provides users with personalized insights and recommendations based on their financial behavior to guide them to make smarter financial decisions. Security and privacy are paramount as Fintrack uses advanced encryption protocols and strict privacy measures to protect users' sensitive financial information. Overall, Fintrack is a valuable tool for people who want to achieve financial wellness and create a brighter financial future. With its comprehensive features and user-centric approach, Fintrack aims to revolutionize personal financial management and enable users to achieve their financial goals with confidence and clarity. Keywords: Personal Finance Management, Financial Tracking, Investment Tracking.

The Impact of Performance Expectancy, Workload, Risk, and Satisfaction on Trust in ChatGPT: Cross-Sectional Survey Analysis.

ChatGPT (OpenAI) is a powerful tool for a wide range of tasks, from entertainment and creativity to health care queries. There are potential risks and benefits associated with this technology. In the discourse concerning the deployment of ChatGPT and similar large language models, it is sensible to recommend their use primarily for tasks a human user can execute accurately. As we transition into the subsequent phase of ChatGPT deployment, establishing realistic performance expectations and understanding users' perceptions of risk associated with its use are crucial in determining the successful integration of this artificial intelligence (AI) technology. The aim of the study is to explore how perceived workload, satisfaction, performance expectancy, and risk-benefit perception influence users' trust in ChatGPT. A semistructured, web-based survey was conducted with 607 adults in the United States who actively use ChatGPT. The survey questions were adapted from constructs used in various models and theories such as the technology acceptance model, the theory of planned behavior, the unified theory of acceptance and use of technology, and research on trust and security in digital environments. To test our hypotheses and structural model, we used the partial least squares structural equation modeling method, a widely used approach for multivariate analysis. A total of 607 people responded to our survey. A significant portion of the participants held at least a high school diploma (n=204, 33.6%), and the majority had a bachelor's degree (n=262, 43.1%). The primary motivations for participants to use ChatGPT were for acquiring information (n=219, 36.1%), amusement (n=203, 33.4%), and addressing problems (n=135, 22.2%). Some participants used it for health-related inquiries (n=44, 7.2%), while a few others (n=6, 1%) used it for miscellaneous activities such as brainstorming, grammar verification, and blog content creation. Our model explained 64.6% of the variance in trust. Our analysis indicated a significant relationship between (1) workload and satisfaction, (2) trust and satisfaction, (3) performance expectations and trust, and (4) risk-benefit perception and trust. The findings underscore the importance of ensuring user-friendly design and functionality in AI-based applications to reduce workload and enhance user satisfaction, thereby increasing user trust. Future research should further explore the relationship between risk-benefit perception and trust in the context of AI chatbots.

Travel Itinerary: Travel lookout begins here

This research paper aims to develop a mobile application that serves as a straightforward travel guide, enhancing the exploration experience for travellers while simplifying decision-making by providing essential information without unnecessary complexities. The user-friendly design prioritises easy navigation and clear details, ensuring that users can effortlessly access the information they need. The integrated map feature allows users to find their routes effortlessly, while real-time weather updates for destinations help travellers plan accordingly and adapt to changing conditions. Going beyond basic navigation, the app offers valuable insights into popular attractions and cultural events, enriching the travel experience with curated information that highlights the best each destination has to offer. To streamline decision-making further, the app recommends top dining and accommodation options, removing the hassle and uncertainty from choosing where to eat and stay. These recommendations are based on user reviews and ratings, ensuring quality and reliability. In essence, this app is a user-centric tool designed to eliminate the stress associated with travel decisions, making it an invaluable companion for those seeking a straightforward and enriched exploration experience. By focusing on the needs of travellers and leveraging technology to provide timely and relevant information, this mobile application stands out as a practical and essential tool for modern explorers. Key Words: Navigations, Weather, Destination Insights, Accommodations, Dinnings, User Authentication.

Gesture speak: Hands-Free Computer Control with Hand Gestures and Voice Commands

In an era of advancing human-computer interaction, "GestureSpeak" emerges as a pioneering project that facilitates hands-free control over computing devices through intuitive hand gestures and voice commands. Leveraging the power of MediaPipe and OpenCV in Python, this innovative system enables users to seamlessly navigate their digital environments without the need for traditional input devices. By harnessing the capabilities of computer vision and machine learning, GestureSpeak interprets and responds to users' gestures and vocal instructions, opening new frontiers in accessibility and user experience. This abstract offers a glimpse into the transformative potential of GestureSpeak in revolutionizing the way we interact with computers, making technology more accessible and intuitive for all users. Advancements in human-computer interaction have led to the development of innovative projects that redefine how users interact with technology. This paper introduces a novel integration of two projects: GestureSpeak and VoiceRobot, which together enable intuitive and hands-free control over computing devices using hand gestures and voice commands. VoiceRobot complements GestureSpeak by adding voice command capabilities to the interaction model. Powered by speech recognition technology, VoiceRobot enables users to control devices and launch applications using natural language. With VoiceRobot, initiating the GestureSpeak project is as simple as speaking a command. The combined system offers unique benefits, including improved accessibility for users with mobility impairments and a more natural way to interact with computing devices. By integrating gesture recognition and voice commands, the project enhances user engagement and efficiency, paving the way for future advancements in human-computer interaction. Launching the Project with VoiceRobot:A notable feature of this integrated system is the ability to launch the GestureGenie project using VoiceRobot. By speaking a predefined command, such as "Activate GestureGenie," users can initiate the hand gesture control system effortlessly. This capability highlights the seamless integration of gesture recognition and voice command technologies, showcasing the project's versatility and user-friendly design. In conclusion, the integration of GestureGenie and VoiceRobot represents a significant advancement in human-computer interaction, offering a comprehensive solution for hands-free device control. This abstract provides insight into the combined capabilities of these projects and their potential impact on accessibility, user experience, and the future of interactive computing.