User Experience Research Articles

User Experience of a (Semi-) Automated Cognitive Phone-Based Assessment Within a Memory Clinic Population.

We examined the user experience in different modalities (face-to-face, semi-automated phone-based, and fully automated phone-based) of cognitive testing in people with subjective cognitive decline and mild cognitive impairment. A total of 67 participants from the memory clinic of the Maastricht University Medical Center+ participated in the study. The study consisted of cognitive tests in different modalities, namely, face-to-face, semi-automated phone-based guided by a researcher, and fully automated phone-based without the involvement of a researcher. After each assessment, a user experience questionnaire was administered, including questions about, for example, satisfaction, simplicity, and missing personal contact, on a seven-point Likert scale. Non-parametric tests were used to compare user experiences across different modalities. In all modalities, user experiences were rated above average. The face-to-face ratings were comparable to the ratings of the semi-automated phone-based assessment, except for the satisfaction and recommendation items, which were rated higher for the face-to-face assessment. The face-to-face assessment was preferred above the fully automated phone-based assessment on all items. In general, the semi- and fully automated phone-based assessments were comparable (simplicity, conceivability, quality of sound, visiting the hospital, and missing personal contact), while on all the other items, the semi-automated phone-based assessment was preferred. User experience was rated high within all modalities. Simplicity, conceivability, comfortability, and participation scores were comparable in the semi-automated phone-based and face-to-face assessment. Based on these findings and earlier research on validation of the semi-automated phone-based assessment, the semi-automated assessment could be useful for screening for clinical trials, and after more research, in clinical practice.

Pengembangan Game Edukasi Doa Islam: Desain Arsitektur dan Implementasi

The development of educational games has become increasingly important in this modern era, particularly in addressing the challenges of engaging the younger generation in religious education. This paper presents the architectural design and implementation of an educational game focused on Islamic prayers. By leveraging technologies such as Unity for game development, Next.js for frontend web development, and Express.js for backend server functions, coupled with Supabase for efficient database management, this game offers a deep and interactive learning experience. The game's storyline encompasses various stages where players navigate scenarios related to Islamic prayers, earning rewards and knowledge along the way. Through comprehensive user analysis and iterative testing, the game aims to bridge the gap between traditional religious education and modern digital engagement. Integration of real-time performance parameters, such as call speed averaging below 30ms, ensures continuous improvement in game functionality and user experience, thereby enhancing the game's effectiveness as a learning tool. Overall, this research contributes to the advancement of educational gaming in the context of Islamic education, providing insights into effective strategies for engaging and educating young audiences in religious practices..

Optimalisasi Dashboard Pemesanan Makanan Online Menggunakan Looker dan JavaScript

Advances in information technology have enabled rapid development in internet-based services, including online food ordering applications. This growth demands efficient data management and analysis systems to improve user experience and operational performance. This research focuses on developing an optimal online food ordering dashboard using Looker and JavaScript. Research methods include needs identification, literature study, needs analysis, design, and implementation. The research results show that the dashboard developed is able to manage and analyze order data effectively, identify trends, predict customer needs, and increase operational efficiency. This dashboard visualizes important information such as number of orders based on age, gender, income, as well as customer behavior analysis. In doing so, service providers can gain better insight into consumer behavior and ordering trends, supporting more informed and strategic decision making. The results of this study contribute to the literature on the use of data visualization technologies in the online food service sector.

Stepping Up Psychosis: The Use of Virtual Reality in Pre-registration Mental Health Nursing Education

BackgroundThere has been growing interest in the development of mental health-related simulation packages for pre-registration mental health nursing education. The authors will present the creation of a simulation package created for pre-registration mental health nurses during their final year. MethodThe simulated experience consisted of a five-minute Virtual Reality (VR) recording which shares the experience of living with symptoms of psychoses. The package, not only looked at the hearing of voices, but in addition enhances the user's experience by simulating visual perception and placing the student within a secluded environment. This was delivered to students in their final six months of the program. ResultsStudents noted the increase in empathy for patients experiencing these symptoms and how it would enhance the care they gave. ConclusionThe results of this innovation demonstrate how virtual reality (VR) could be used to standardize student nurses' education in the field of mental health.

Elevating sentiment analysis with VGG-16's facial expression insights

<span lang="EN-US">In today's data-driven world, the ability to analyze emotional responses is essential. The pressing necessity that drives this study is to revolutionize the field of sentiment analysis by extracting the hidden information from people's facial expressions. It examines people's preferences, worries, and pleasure, revealing their views on many topics. Beyond text-based sentiment analysis, this research adds facial expression-based sentiment analysis into existing systems for tailored recommendations and mental health monitoring. The system emphasizes visual stimuli's emotional influence to improve decision-making, content adaptability, and user experiences. The implementation involves transfer learning with the pre-trained VGG-16 model, which enhances ability to discern intricate emotional cues from facial expressions. Convolutional Neural Network (CNN) and contextual analysis allow the model to understand users' emotions and provide insights into their thoughts, feelings, and behaviours. To improve emotion recognition reliability and reactivity, this study examines Random Forest, Support Vector Machine (SVM), and CNN methodologies. The VGG-16 CNN model outperforms over SVM and Random Forest classifiers with accuracy of 95%. This study highlights facial expression-based sentiment analysis.</span>

A Cognitive Appraisal Approach to Understanding Mountain Bikers' Post-Trip Trails Recommendation Intent

This paper presents findings from a study that examined how well mountain bikers' cognitive processes predicted their recommendation intent—the intention to share their recreation experience with others. Specifically, we examined relationships between different mountain biking recreation goal appraisals, emotions, and mountain bikers’ intentions to suggest mountain biking destinations to others. We tested hypothesized relationships using a structural equation modeling approach. Our results show that goal congruence and interest are the primary appraisal factors predicting recommendation intent among mountain bikers. While satisfaction and affective emotions are distinct factors that affect post-trip recommendation behavior, our results suggest that satisfaction emotions are significant secondary predictors of recommendation intent and have a stronger relationship with post-trip recommendation intentions than affective emotions. These study outcomes may be used to inform and develop effective management strategies for mountain biking destinations by designing based on user experiences.

Customer Intention on The Usage of Online Food Delivery Application in Klang Valley, Malaysia

Online food delivery applications (OFDA) allow customers to purchase meals online and delivered to their doors. These services have grown rapidly in Malaysia, aligning with consumer demands. This study aims to determine factors influencing customer intention to use OFDAs in Klang Valley, examine the relationships between social influence, price-saving orientation, information quality, and time-saving orientation, and identify the most popular OFDAs among customers. An online survey was distributed via Google Forms to 384 residents of Klang Valley, including Putrajaya, Kuala Lumpur, Gombak, Hulu Langat, Petaling Jaya, Klang, and Sepang. Respondents ranged from 18 to 55 years and above, with the survey targeting both experienced users and potential new users of OFDAs. Data analyses were conducted using SPSS, including descriptive, correlation, and regression analyses. The results showed that all variables (social influence, information quality, price-saving orientation, and time-saving orientation) were statistically significant and positively correlated. Information quality emerged as the most influential factor, providing accurate information on food, charges, and delivery times. The findings of this research can help food service and restaurant owners improve their operations and remain competitive by understanding the key factors that drive customer intentions to use OFDAs in Klang Valley.

Real-Time CNN Training and Compression for Neural-Enhanced Adaptive Live Streaming.

We propose a real-time convolutional neural network (CNN) training and compression method for delivering high-quality live video even in a poor network environment. The server delivers a low-resolution video segment along with the corresponding CNN for super resolution (SR), after which the client applies the CNN to the segment in order to recover high-resolution video frames. To generate a trained CNN corresponding to a video segment in real-time, our method rapidly increases the training accuracy by promoting the overfitting property of the CNN while also using curriculum-based training. In addition, assuming that the pretrained CNN is already downloaded on the client side, we transfer only residual values between the updated and pretrained CNN parameters. These values can be quantized with low bits in real time while minimizing the amount of loss, as the distribution range is significantly narrower than that of the updated CNN. Quantitatively, our neural-enhanced adaptive live streaming pipeline (NEALS) achieves higher SR accuracy and a lower CNN compression loss rate within a constrained training time compared to the state-of-the-art CNN training and compression method. NEALS achieves 15 to 48% higher quality of the user experience compared to state-of-the-art neural-enhanced live streaming systems.

Food Calories Generator through Deep Learning

Identifying food and calculating calories are key components of encouraging good eating habits and controlling dietary intake. These days, it's easier to create smart systems that can recognize food items from images or videos and calculate their calorie content using artificial intelligence, computer vision, and machine learning. This study gives an overview of the latest methods and tools for calorie counting and food identification. It looks at the challenges of accurately identifying different foods, including complex dishes and foods from various cuisines, and addresses the variables taken into account when determining the calorie content of food items, including ingredient composition, portion size, and nutritional makeup. To enhance user experience and enable comprehensive calorie tracking, it explores real-time processing capabilities, user-friendly interfaces, and integration with other health and fitness platforms. Additionally, it provides a list of potential recipes. The interface developed in the proposed system is currently trained to identify and provide the calories of 100 food items, including basic food items, fruits, vegetables, and processed foods. The research work uses a real-time dataset for training and employs software such as YOLOv8, and TensorFlow for practical implementation.

Application for Tridimensional Renal Visualization and Operative Planning

Background: Partial nephrectomy is the preferred surgical approach for renal neoplasms smaller than 7 cm, without compromising disease-free or cancer-specific survival. It is increasingly being performed in patients with complex renal tumors. Three-dimensional models of preoperative computed tomography (CT) or magnetic resonance imaging (MRI) scans are the future for accurately identifying the tumor's location and planning the surgical strategy. Objectives: This study aims to develop an application for use by medical professionals, designed to view three-dimensional (3D) renal images with radius, extension, nearness, anterior/posterior, and lines scores from preoperative CT or MRI exams. Methods: This descriptive study focuses on developing a mobile application, which was entirely created by a urologist on a no-code platform without using programming languages. The renal 3D images were generated from the patient's specific CT or MRI scans. A dedicated database was also utilized for the application. Results: The development of the NeoRenal application resulted in ten complexly designed screens created within a no-code platform, each serving a specific purpose in a coherent sequence to ensure an optimal user experience. The uniform flow and design of these screens aim to provide intuitive and comprehensive user acceptance, facilitating registration, data entry, visualization, and editing functionalities. Conclusions: The application was successfully developed and is ready to be published on various operating systems.

Augmented Reality in Interior Design

The recent advances in digital technologies have paved way for substantial improvements in the field of interior design. Augmented reality (AR), one of the biggest trends in the digital market, is used to visualize the placement of furniture in interior spaces. As the demand for online stores and shopping increases, AR presents a promising solution to bridge the gap between virtual and the real environment. By utilizing AR functions, users can virtually place furniture in their living spaces, conceptualize their design, and make proper decisions by accurately visualizing their desired interior design. The proposed system aims to develop a website that enhances the user experience in choosing the furniture that suit their living space. Furthermore, the precise visualization and interactive platform makes the website user-friendly.

The User Experience Analysis of Digital Health Tracking Application in Indonesia

The User Experience Analysis of Digital Health Tracking Application in Indonesia

Design of Calligraphy Teaching Materials from the Perspective of Chinese Preschool Education-Anshan City Case Study

Background and Aim: The art of Chinese calligraphy is an important part of Chinese culture because of its artistic and aesthetic value. It originates from Chinese characters, which evolved from traditional symbols. Chinese characters have gone through three stages of development: image, borrowing, and echoing. Chinese characters have evolved from pictures and symbols to standardized forms such as ancient seal script, small seal script, official script, regular script, running script, and cursive script. Calligraphy is a special art originating from China. Children begin learning calligraphy at an early age, with some children as young as four or five practicing scribbling and writing. Before formal literacy education, children develop curiosity about words and engage in spontaneous writing. Learning calligraphy is ideal for preschoolers because it helps develop their creativity and improves their hand-eye coordination. Studies on the emergence of reading and writing in China have been conducted since the 1990s. These studies are based on the Western pinyin writing system and aim to examine the development of literacy skills in children. The goal is to explore the manifestation of reading and writing skills in children and their ability to develop these skills. This study aims to develop and design calligraphy teaching materials for preschool children in Anshan City, China, by incorporating cultural elements unique to the region. Materials and Methods: The study lasted 12 weeks, during which time 50 preschoolers were observed and their activities recorded using a combination of quantitative and qualitative research methods, including content and text analysis and user experience research methods. Valid data were generated for analysis. Results: The research suggests that introducing Spring Festival couplets in writing education can help preschool children understand regional culture and encourage them to learn. This can make a significant contribution to calligraphy education for preschool children, which has not been explored before. To improve the calligraphic ability and interest of preschool children, an innovative approach based on educational technology can be used to develop and design calligraphy teaching materials. The effectiveness and feasibility of these materials can be validated through their use in the learning of calligraphy for preschool children in Anshan City, providing new teaching tools for calligraphy education in the city. This can serve as a reference for calligraphy education for preschool children and promote innovation in the field. Conclusion: The study explored the current state of calligraphy art education for preschoolers in Anshan City. Results revealed that there are some issues such as lack of engaging content and teaching methods. Questionnaires and interviews showed that preschoolers are interested in calligraphy, but there is a need for better resources and teaching methods. An experiment was conducted in two kindergartens to compare a new calligraphy education model with traditional methods. Preliminary results suggest that the new model improved children's calligraphy knowledge, skills, interest, and creativity. However, further research is needed for more accurate findings. The conclusion suggests that calligraphy teaching materials for preschool children should take into account their cognitive development and educational needs.

Analysis of User Experience of the CapCut Application in Generation Z for Social Media Content Using the User Experience Questionnaire Method

Purpose: In the midst of these dynamics of change, research, development and application of technology continues to be the main focus in efforts to achieve progress and efficiency in various sectors of life. Generation Z has been the primary architect of cultural and behavioral change on social media. One of the most prominent characteristics of Generation Z is their desire to create "viral" content on social media. Content created using CapCut often uses interesting video and audio effects, such as progress effects, dry effects, music effects, and so on. This application has various features that make it easier for users to create video content, such as video effects, audio and animation. This shows that generation Z tends to use the CapCut application to create and edit video content that they share on social media. This research was conducted based on a phenomenon that has recently occurred, where many generations Z want to create content on social media using the CapCut application and also from several previous studies that have been conducted which are still lacking in understanding CapCup user satisfaction as a medium for creating content for Generation Z. and from several interviews the author conducted with CapCut application users. Method: This research uses the user experience questionnaire (UEQ) method with six (6) variables, namely attractiveness, efficiency, clarity, dependability, stimulation and novelty. Dr. Martin Schrepp developed a special tool that can be used to analyze UEQ questionnaire results, namely the UEQ Data Analysis Tool. The UEQ Data Analysis Tool is in the form of an Excel application which can be obtained by downloading it directly from the official https://www.ueq-online.org/ website This study employs a quantitative research strategy. This study does not know the exact number of the population to be studied. So, the sample size was calculated using the Lemeshow formula, a survey was conducted on 96 users of the Capcut application. Result: Based on the results of the discussion regarding user experience, specifically Generation Z, in the CapCut Application using the User Experience Questionnaire (UEQ) method, conclusions can be drawn from the 6 variables in the UEQ used, the 6 variables obtained positive evaluation values, namely the Attractiveness (mean 1.177), Perspicuity variables. (mean 1.109), Efficiency (mean 1.109), Dependability (mean 1.159), Stimulation (mean 1.151) and Novelty (mean 0.763) with the highest evaluation value on the Attractiveness variable. 2. Based on the benchmark results, the values obtained for the Attractiveness variable were 1.18, Perspicuity 1.11, Efficiency 1.11, Dependability 1.16, Stimulation 1.15, and Novelty 0.76. Each variable gets an Above Average value (above the average). However, there is still potential for improvement to achieve standards of perfection desired. Users provided invaluable feedback and suggestions, highlighting the need for improvement. Novelty: This research provides 2 recommendations based on the results of evaluations using UEQ, which are expected to help in improving and improving the quality of the CapCut Application in the future.

Developing crossplatform software applications to enhance compatibility across devices and systems

In an increasingly interconnected world, the need for software applications that function seamlessly across diverse devices and operating systems is paramount. Developing crossplatform software applications addresses this need by providing a unified user experience and operational efficiency regardless of the hardware or system being used. This approach eliminates the need for multiple versions of the same application, streamlining development and reducing costs while improving accessibility and consistency. Crossplatform development involves creating software that is compatible with various operating systems such as Windows, macOS, iOS, and Android, as well as different device types including desktops, tablets, and smartphones. Key methodologies in this domain include the use of frameworks and tools such as React Native, Flutter, and Xamarin, which allow developers to write code once and deploy it across multiple platforms. These frameworks offer a range of features to enhance user interfaces, manage system resources efficiently, and ensure robust performance across devices. The benefits of crossplatform applications are manifold. They provide a consistent user experience, as the same application behaves similarly across different devices, enhancing usability and customer satisfaction. Additionally, they simplify maintenance and updates, as changes need only be implemented once rather than across multiple codebases. This approach also accelerates timetomarket by leveraging shared codebases, thereby enabling faster development cycles and quicker deployment. However, developing crossplatform applications also presents challenges. Ensuring consistent performance and functionality across diverse systems can be complex, requiring careful design and testing. Developers must also navigate varying hardware capabilities and user interface guidelines for different platforms. Despite these challenges, advances in development frameworks and tools continue to improve the efficiency and effectiveness of crossplatform solutions. In conclusion, crossplatform software development represents a strategic approach to enhancing compatibility and accessibility across devices and systems. By leveraging modern frameworks and tools, organizations can deliver cohesive, highquality applications that meet the needs of a diverse user base while optimizing development resources and costs. Keywords: : Developing, CrossPlatform, Software Applications, Compatibility, Devices.

Unfolding IoT Adoption: A Status Quo Bias Perspective

AbstractInternet of Things (IoT) solutions are still far from using their enormous potential, partly because misconceptions lead employees to avoid using IoT solutions and stick to established working routines. To shed light on the non-rational perspective of users, which allows for inference on the emergence of cognitive misconceptions, 489 respondents' perceptions of benefits and costs of IoT solutions were analyzed. Using the perspective of “status quo bias”, the qualitative analysis reveals that the perceptions of experienced and inexperienced users partly overlap on benefits such as the reduction of errors and relief of personnel. However, the perceptions also diverge in part, as inexperienced users consider IoT solutions to be gimmicky, fostering mistrust. In addition, inexperienced users overestimate learning phases for interacting with IoT solutions, leading to loss aversion and consequently to cognitive misperceptions. Hence, the study examines the gap between experienced and inexperienced users as a neglected aspect in IoT adoption. Further, identifying relevant drivers for the implementation of IoT solutions at the individual level helps to extend the hitherto technical view of IoT solutions towards a multi-layer approach that includes a holistic, behavioral perspective.

Opportunities and challenges of a dynamic consent-based application: personalized options for personal health data sharing and utilization.

The principles of dynamic consent are based on the idea of safeguarding the autonomy of individuals by providing them with personalized options to choose from regarding the sharing and utilization of personal health data. To facilitate the widespread introduction of dynamic consent concepts in practice, individuals must perceive these procedures as useful and easy to use. This study examines the user experience of a dynamic consent-based application, in particular focusing on personalized options, and explores whether this approach may be useful in terms of ensuring the autonomy of data subjects in personal health data usage. This study investigated the user experience of MyHealthHub, a dynamic consent-based application, among adults aged 18 years or older living in South Korea. Eight tasks exploring the primary aspects of dynamic consent principles-including providing consent, monitoring consent history, and managing personalized options were provided to participants. Feedback on the experiences of testing MyHealthHub was gathered via multiple-choice and open-ended questionnaire items. A total of 30 participants provided dynamic consent through the MyHealthHub application. Most participants successfully completed all the provided tasks without assistance and regarded the personalized options favourably. Concerns about the security and reliability of the digital-based consent system were raised, in contrast to positive responses elicited in other aspects, such as perceived usefulness and ease of use. Dynamic consent is an ethically advantageous approach for the sharing and utilization of personal health data. Personalized options have the potential to serve as pragmatic safeguards for the autonomy of individuals in the sharing and utilization of personal health data. Incorporating the principles of dynamic consent into real-world scenarios requires remaining issues, such as the need for powerful authentication mechanisms that bolster privacy and security, to be addressed. This would enhance the trustworthiness of dynamic consent-based applications while preserving their ethical advantages.

THE ESSENCE OF GOODWILL IN DISCLOSING THE INTANGIBLE VALUE OF BUSINESS IN THE CONTEXT OF DIGITAL TRANSFORMATION

The intangible component of business value is increasing, yet remains inadequately disclosed in financial reporting. Current accounting standards have not fully developed the tools and methodologies for its comprehensive recognition, measurement, assessment, and full disclosure in reports. Discussions on the essence of goodwill have long been ongoing, and it's evident that this category extends beyond accounting and financial reporting. Digital transformation enhances the interest of researchers, scholars, and practitioners in the essence of goodwill, emphasizing the necessity to consider it as a means of disclosing the intangible value of business in modern conditions.The methodological basis of the conducted research includes methods of analysis, synthesis, historical conceptual review, comparison, logical generalization, grouping, abstraction, and a systematic approach.Studying the history of the development of the goodwill concept allowed identifying the main stages of its formation as an object of accounting, reporting, and management. An in-depth critical analysis of definitions supplemented economic, legal, and accounting approaches to understanding the essence of goodwill with new ones, such as marketing, branding, value, emotional, quantitative, and systemic. The developed classification allows considering all aspects of goodwill manifestation and the views of various assessment subjects on its essence and role in disclosing the intangible value of the business. It is proposed to define goodwill as the intangible value of a business reflecting its reputation, brand, customer loyalty, intellectual property, innovative and technological capabilities, digital user experience, online presence, and a set of other unique intangible assets, which together contribute to the sustainable growth of the company's market value and create competitive advantages, enabling adaptation to changes in the era of digital transformation.Goodwill is a category that exists not only in consolidated reporting, as it characterizes the intangible components of business value and requires appropriate recognition and management.

The Impact of System Quality and User Satisfaction: The Mediating Role of Ease of Use and Usefulness in E-Learning Systems

The research aims to understand how the system's quality influences users' perceptions of its usability and ease of use, affecting their overall satisfaction with the e-learning system. This analysis provides insights into the factors contributing to a positive user experience and the sustainable use of e-learning platforms. The study employs a quantitative approach with a survey method. The sample comprises 470 students from five universities using e-learning information systems, selected through purposive sampling. Data was collected via a questionnaire survey distributed to respondents and analyzed using Structural Equation Modeling (SEM) with the IBM AMOS Program. The results indicate that System Quality (SYQ) significantly affects Perceived Ease of Use (PEOU) with a probability value of 0.019 (p < 0.05), System Quality (SYQ) significantly affects Perceived Usefulness (PU) with a probability value of 0.036 (p < 0.05), Perceived Usefulness (PU) significantly affects User Satisfaction (USA) with a probability value of 0.028 (p < 0.05), and Perceived Ease of Use (PEOU) significantly affects User Satisfaction (USA) with a probability value of 0.000 (p < 0.05). The study concludes that integrating TAM and ISSM provides a comprehensive framework for understanding the factors influencing the sustainable use of e-learning systems. The practical implications of this research underscore the importance of giving e-learning systems that are not only easy to use and useful but also possess high system, information, and service quality to enhance user satisfaction and sustain usage.

User Experience Evaluation of Goods Customization Apps for Generation Z: A Focus on snaps and PUBLOG

User Experience Evaluation of Goods Customization Apps for Generation Z: A Focus on snaps and PUBLOG