User Satisfaction Research Articles

Enhancing Movie Recommendation Systems Through CNN-Based Feature Extraction and Optimized Collaborative Filtering

Abstract. This paper presents the design and implementation of a movie recommendation model that combines collaborative filtering with Convolutional Neural Networks (CNNs) to tackle the challenge of information overload in extensive movie databases. The primary objective is to enhance the user experience by developing an efficient and personalized recommendation system. The proposed model integrates CNNs to extract detailed image features from movie posters, enriching the movie representations used in the recommendation process. This feature extraction is coupled with an optimized collaborative filtering algorithm to deliver more accurate and tailored movie suggestions. The study is based on a dataset that includes movie information, user ratings, and user behavior data. Experimental results demonstrate that the proposed model significantly improves the accuracy and personalization of movie recommendations, thereby offering users a superior selection experience. The practical implications of this research are substantial, as it has the potential to boost user satisfaction and engagement on movie recommendation platforms. Future work will focus on further enhancing the model by incorporating long-term user behavior patterns and integrating multi-modal data sources for even more precise recommendations.

Knowledge maps as a complementary tool to learn and teach surgical anatomy in virtual reality: A case study in dental implantology

AbstractA thorough understanding of surgical anatomy is essential for preparing and training medical students to become competent and skilled surgeons. While Virtual Reality (VR) has shown to be a suitable interaction paradigm for surgical training, traditional anatomical VR models often rely on simple labels and arrows pointing to relevant landmarks. Yet, studies have indicated that such visual settings could benefit from knowledge maps as such representations explicitly illustrate the conceptual connections between anatomical landmarks. In this article, a VR educational tool is presented designed to explore the potential of knowledge maps as a complementary visual encoding for labeled 3D anatomy models. Focusing on surgical anatomy for implantology, it was investigated whether integrating knowledge maps within a VR environment could improve students' understanding and retention of complex anatomical relationships. The study involved 30 master's students in dentistry and 3 anatomy teachers, who used the tool and were subsequently assessed through surgical anatomy quizzes (measuring both completion times and scores) and subjective feedback (assessing user satisfaction, preferences, system usability, and task workload). The results showed that using knowledge maps in an immersive environment facilitates learning and teaching surgical anatomy applied to implantology, serving as a complementary tool to conventional VR educational methods.

Experience of Service Questionnaire (ESQ) in children and adolescents: factor structure, reliability, validity, item parameters and interpretability of the parent version for practical use in Greece

BackgroundHealth systems need tools to assess patient’s experience of service, but existing tools lack reliability and validity assessment. Our aim is to investigate the factor structure, reliability, validity, item parameters and interpretability of the parent version of the Experience of Service Questionnaire (ESQ) for practical use in Greece.MethodsA total of 265 caregivers that were using mental health services in Greece participated in this study as part of the Nationwide cross-sectional survey from the Child and Adolescent Mental Health Initiative (CAMHI). Confirmatory Factor Analysis was used to test factor structure. Reliability of all models were measured with omega coefficients. Tobit regression analysis was used to test for convergent and discriminant validity with specifically designed questions. Item parameters were assessed via Item Response Theory. Interpretability was assessed by means of IRT-based scores.ResultsWe found that ESQ is best represented and scored as a unidimensional construct, given potential subscales would not have enough reliability apart from a general factor. Convergent and discriminant validity was demonstrated, as caregivers who perceived that their child benefited from the received mental health care had 6.50 higher summed scores (SMD = 1.14, p < 0.001); while those who believed that their child needed additional help had 5.08 lower summed scores on the ESQ (SMD = −0.89, p < 0.001). Average z-scores provided five meaningful categories of services, in terms of user satisfaction, compared to the national average.ConclusionsOur study presents evidence for the reliability and validity of the ESQ and provides recommendations for its practical use in Greece. ESQ can be used to measure experience of service and might help drive improvements in service delivery in the Greek mental health sector.

Assessment of Water Service Levels and User Satisfaction for Domestic Water Use in Emina-Boadi-Kumasi to Achieve the Sustainable Development of Urban Water Supply Systems in Ghana

Assessment of Water Service Levels and User Satisfaction for Domestic Water Use in Emina-Boadi-Kumasi to Achieve the Sustainable Development of Urban Water Supply Systems in Ghana

Analisis Tingkat Kepuasan Mahasiswa dalam Pengisian KRS di Website Student Universitas Amikom Purwokerto Menggunakan Metode EUCS

Student Web is an information system developed by Amikom University Purwokerto to assist students in managing academic administration, including filling out Study Plan Cards (KRS). However, this website often experiences disruptions and errors during KRS filling periods with high access, resulting in difficulties in accessing, delays in course selection, and schedule conflicts. This has an impact on student satisfaction in using the service. This research aims to measure the level of user satisfaction with the quality of the Amikom University Purwokerto Student Website on the KRS filling feature, using the End User Computing Satisfaction (EUCS) method. The sample consisted of 100 active students at Amikom University, Purwokerto. The results of the hypothesis test show that there is 1 variable that does not show a significant influence, namely the content variable, and there are 4 variables that have an influence, namely accuracy, format, ease of use and timeliness.

Exploring The Role of Artificial Intelligence in Library Management at Public Primary School

The rapid development of technology has brought significant changes in various areas of life, including the world of education. AI is a rapidly developing technology with enormous potential to improve the efficiency and effectiveness of resource management. Library management, which plays a crucial role in supporting teaching and learning activities in schools, employs AI in education. However, the increasing challenges in managing collections, the demand for rapid and accurate services, and the need for effective data management have increased the need for innovation in library management. This study aimed to explore the application of artificial intelligence (AI) in library management at SDN Piyaman 2 Wonosari, emphasizing enhancing operational efficiency, accessibility, and service quality. This study employs a qualitative descriptive approach, collecting data through interviews, observations, and questionnaires from students, teachers, and library staff. The researchers will then process, analyze, and discuss the collected data to conclude. The study results indicate that using artificial intelligence (AI) can improve library operational efficiency by reducing borrowing time, returning each book, and searching from five minutes to one minute. In addition, AI also increases user satisfaction, with an average increase from 60% to 85%. Despite the technical challenges and user adjustments, the results of this study indicate that AI has enormous potential to improve the effectiveness and efficiency of school libraries. Other schools can use this study as a model to implement AI technology in library management, making it more modern and responsive to user needs.

Enhancing User Experience and Sustainability in Open Banking Using PLS-SEM

A framework empowering third-party providers to access individual financial data has revolutionized the financial services landscape. Despite the user-centric nature of FinTech solutions, research on post-adoption behavior remains relatively scarce. Given the pivotal role of FinTech in the modern financial industry, understanding the factors driving sustained adoption and continued usage is crucial. This study aims to explore the key determinants influencing users’ decisions to remain engaged with Open Banking solutions. We propose a model examining the impacts of various factors on user satisfaction and their intention to continue using Open Banking. Partial least squares structural equation modeling (PLS-SEM) was employed to validate this model. Our findings reveal that user satisfaction with the usage experience is the sole predictor of continued use intention, explaining 62% of the variance in continuance use intention (R2 = 0.62). Additionally, user satisfaction is influenced by perceived usefulness (β = 0.33, p &lt; 0.001), trust (β = 0.24, p = 0.003), and convenience (β = 0.25, p = 0.006), accounting for 70.5% of the variance in satisfaction (R2 = 0.705). The practical implications of this study suggest that Open Banking providers should prioritize enhancing user satisfaction by improving the perceived usefulness and convenience of their applications while fostering trust to maintain user engagement. Furthermore, our findings emphasize that convenience and trust are critical levers that Open Banking providers can utilize to ensure long-term customer loyalty and adoption, particularly in developing economies.

How food delivery service can be sustainable: some evidence from the Giusta delivery case

PurposeThe study explores the drivers of the intention to continue using sustainable food delivery services, considering the influence of value, satisfaction and the combined effects of utilitarian and hedonic motives. We employ a comprehensive framework that integrates the norm activation model (NAM) and the theory of planned behavior (TPB), with satisfaction, utilitarian motives and hedonic motives. This approach facilitates a deeper understanding of the factors motivating users to remain loyal to the service.Design/methodology/approachThe study examines the data using a quantitative approach based on the partial least squares approach to structural equation modeling (PLS-SEM).FindingsThe findings suggest that the intention to continue using sustainable food delivery services, such as the Giusta app, is significantly influenced by user satisfaction and attitudes. Attitudes not only influence the intention but also user satisfaction and are shaped by utilitarian motivations associated with sustainable food delivery. Beyond personal expectations and perceived benefits, the study reveals that behavior is also driven by altruistic values and moral convictions. Specifically, attitudes and satisfaction are positively affected by personal norms, which are influenced by ascribed responsibility. This ascribed responsibility is, in turn, shaped by awareness of both environmental and social issues.Originality/valueThis research contributes to the current debate on consumers' ethical behavior in food delivery. Only a few studies have integrated the NAM and TPB models in this context. This article highlights the factors useful in predicting people’s choice of food delivery services, showing the key role of personal norms, attitude, satisfaction and utilitarian motives.

A Heterogeneous Multi-Satellite Dynamic Mission Planning Method Based on Metaheuristic Algorithms

The increasing demand for satellite communication necessitates efficient resource management, especially as next-generation high-throughput satellites (HTSs) face challenges in optimizing user connections. This paper presents a novel method that integrates a discretely improved Particle Swarm Optimization (PSO) algorithm with a dynamic task management framework to enhance satellite resource allocation efficiency. The PSO algorithm is adapted for discrete selection problems to maximize a fitness function based on user priority, user preference, and capacity satisfaction, thus ensuring accurate user–satellite matching. A main loop function iteratively updates user data and connection statuses, thus achieving continuous optimization of satellite connections. Through simulation studies, we validated the effectiveness of this method under dynamically changing user demands, demonstrating that the Discrete PSO algorithm significantly outperforms Simulated Annealing (SA) and the Genetic Algorithm (GA) in user satisfaction, maintaining levels above 0.996 even under high demand. Additionally, it effectively prioritizes high-demand users, ensuring their satisfaction remains above 0.95. Overall, our method enhances the management of daily communication tasks, significantly improving service quality and user satisfaction.

The Evolution of Identity and Access Management: Integrating Biometric and Behavioral Authentication

This article explores the transformative role of biometric and behavioral authentication in the evolving landscape of Identity and Access Management (IAM). As traditional password-based systems increasingly fail to meet the challenges posed by sophisticated cyber threats, these advanced authentication methods offer a promising solution. The article provides a comprehensive overview of physical and behavioral biometrics, examining their integration into multi-factor authentication systems and their capacity for continuous, passive user verification. It delves into the significant security benefits these technologies offer, including enhanced resistance to phishing, social engineering, and insider threats, while also highlighting the improvements in user experience and convenience. The article critically analyzes the challenges and considerations associated with implementing biometric and behavioral authentication, including privacy concerns, data security, accuracy issues, and scalability. Furthermore, it explores future directions and research opportunities in the field, such as advancements in biometric technologies, the application of machine learning and AI in behavioral analysis, and the development of context-aware authentication systems. By synthesizing current research and industry trends, this article provides valuable insights for cybersecurity professionals, IT decision-makers, and researchers interested in the future of secure and user-friendly authentication methods. It underscores the potential of biometric and behavioral authentication to significantly enhance organizational security postures while improving user satisfaction in an increasingly digital world.

FACTORS INFLUENCING CONTINUATION INTENTION OF MOBILE BANKING USAGE: EXTENDING EXPECTANCY CONFIRMATION MODEL (ECM) AND ARTIFICIAL INTELLIGENCE (AI) WITH SECURITY AS MODERATION

This study aims to identify factors that influence continuance intention to use mobile banking by extending the Expectancy Confirmation Model (ECM) and integrating Artificial Intelligence (AI) and security as moderating variables. Data were collected from mobile banking users in Southwest Papua and analyzed using a Structural Equation Model (SEM) with the Partial Least Squares (PLS) approach. The results showed that confirmation, perceived usefulness, customer experience, and satisfaction significantly influenced continuance intention to use mobile banking. In addition, artificial intelligence that is considered intelligent and anthropomorphic also increases perceived usefulness and confirmation of expectations. The security aspect was found to moderate the relationship between perceived usefulness and satisfaction, thereby increasing user satisfaction. These findings provide important insights for mobile banking developers and policy makers to increase the adoption of digital banking services.

Splits Revolutionizing Access to Affordable Streaming Subscriptions

Charges of subscriptions in the growing competition of online entertainment are sometimes very much impacting the customer’s pocket. To overcome this challenge, there is Splits that provides an opportunity to subscribe for numerous streaming services with better conditions than individual companies; streaming services include Netflix, Prime Video, Disney+, SonyLiv, YouTube Premium, Spotify, etc. In this paper, the role and efficiency of Splits in letting the users subscribe to group plans and allowing all of them to access important content while still decreasing the cost dramatically will be discussed. The completely constructed application named Splits allows users to quickly create groups and enjoy their favorite services multiple times cheaper than usual thanks to a comfortable interface. Initial results reveal the factors in health care cost saving with high levels of user satisfaction and participation. In addition, the paper examines possible future developments of the model such as the addition of user preferences and incorporation of feedback for tailored streaming services. Splits help this study, as it presents an insight into the estimates of economic effects of Splits on subscription-based entertainment; thus, enlarging the comprehension of the changing consumer access to digital media and improving the practical recommendations on individual decision- making in an ever more digitalised world. INDEX TERMS : Splits, Streaming Services, Subscription Model, Cost-Effective Entertainment, Group Subscriptions, Digital Media Access, Consumer .

Enhancing User Experience in Private Bank Mobile Banking: Insights from Management Information System Analysis

This research explores the impact of Management Information Systems (MIS) on user experience in private bank mobile banking, focusing specifically on the effectiveness of m-BCA. Utilizing a descriptive quantitative approach, the study aims to understand how mobile banking features, including accessibility, user interface, security, and functionality, influence user satisfaction. Data were collected through direct experimentation with the m-BCA application, complemented by analysis from secondary data sources and a survey of 30 users. Results indicate that 93.3% of users find m-BCA effective for routine banking needs, attributing high ratings to its convenience and functionality. However, while 80% of respondents appreciate the current security measures, 20% cite the absence of advanced security features such as fingerprint and facial recognition as a drawback. The study also reveals mixed feedback on the user interface; while the straightforward design aids usability, 10% of users express a desire for a more visually appealing interface. Despite these areas for improvement, m-BCA’s comprehensive set of features is generally seen as effective, supporting users in performing essential transactions with ease and reliability. The findings suggest that enhancing interface aesthetics and integrating advanced security options could further boost user engagement and trust in mobile banking applications, underscoring MIS’s role in meeting evolving customer expectations in digital banking.

The Implication of the Quality of Care with the Level of Satisfaction of the Administered of a State Entity in the Lambayeque Region

The quality of care provided to the citizens by state entities is a significant factor in organizations because measuring satisfaction levels strengthens trust in governmental institutions. The objective of this article is to establish the relationship between service quality and citizen satisfaction levels within a state entity in the Lambayeque Region. According to the literature reviewed, it was found that there is a significant positive relationship between service quality and user satisfaction in public entities. This means that as service quality improves, user satisfaction levels also increase. Conversely, a decrease in service quality tends to negatively impact user satisfaction. This finding underscores the importance of enhancing and maintaining high standards of service quality provided by state entities to ensure a satisfactory experience for users.

InclusiveWeb : A Smart Browser Approach to Enhancing Web Accessibility for Users with Diverse Disabilities

This article presents InclusiveWeb, an innovative accessibility-focused web browser designed to enhance digital inclusion for users with diverse disabilities. The browser addresses the persistent challenge of widespread non-compliance with web accessibility standards by implementing real-time content adaptation mechanisms, disability-specific tools, and a highly customizable user interface. InclusiveWeb's architecture incorporates advanced machine learning algorithms to dynamically modify web content, offering tailored solutions for users with visual impairments, dyslexia, language disorders, cognitive disabilities, and ADHD. The article details the browser's design principles, technical considerations, and user experience features, supported by a comprehensive evaluation methodology involving user studies with various disability groups. Results demonstrate significant improvements in task completion rates, user satisfaction, and overall accessibility compared to standard browsers. While acknowledging limitations and areas for future research, this article highlights InclusiveWeb's potential to revolutionize web accessibility, shifting the paradigm from reliance on content creators' compliance to browser-level adaptations. The implications of this approach for web accessibility standards, digital inclusion, and future technological developments are discussed, emphasizing the browser's role in creating a more equitable digital landscape.

User Sentiment Analysis of the Shared Charging Service for China’s G318 Route

Shared charging services have gained popularity for their contribution to green travel. Accurately identifying the core factors that influence user experience (UX) not only enhances service quality and optimizes user satisfaction, but also promotes the dissemination of green travel concepts. However, the influencing factors and their mechanisms vary significantly across regions, particularly along the Chengdu–Lhasa (G318) route, which features large elevation changes, diverse climatic conditions, rugged terrain, and frequent geological disasters, making the influencing factors particularly complex. This study analyzes comment texts from 38 shared charging stations along the G318 route in the e-Charging APP, totaling 15,214 comments. A comprehensive approach is employed, including high-frequency word analysis, term frequency–inverse document frequency (TF-IDF) comparison, co-occurrence semantic network and co-word matrix feature correlation analysis, Latent Dirichlet Allocation (LDA) topic modeling, and sentiment analysis. This multifaceted analysis explores core themes, user viewpoints, and sentiments in the comments, focusing on users’ perspectives on service quality, usage experience, and environmental impact of the charging stations. The findings indicate that charging speed, service attitude, environment, operational status of hardware and software, and pricing are key factors influencing user sentiment. Users have a high demand for the perfection of supporting facilities of shared charging stations, directly affecting user satisfaction and indirectly influencing the brand image and market competitiveness of enterprises.

Holographic Communication: A Study of the Quality of Holographic Copies Perception

Relevance. Holography is becoming one of the most promising areas of visualization of three-dimensional objects, which justifies the emergence of a certain scientific interest in this area of research. There is a general global trend of intensifying the work of specialists on the problem of using holographic technologies in various areas of human activity. Trends in the implementation of holographic services and holographic communication today already require a revision of the principles of planning, designing and building existing communication networks, as well as approaches to the implementation of sixth-generation networks 6G, which are based on the integration of various technologies and communication networks into a single network. A separate issue is the assessment of the quality of service and the quality of perception of holographic services by both objective and subjective assessment methods. There are practically no criteria for assessing the quality of a holographic image, including scales and methods for subjective assessment of the quality of holographic services. Moreover, the properties of the holographic flow are poorly understood, and even less so its influence on communication networks and requirements for network parameters, which makes the tasks of studying traffic characteristics and assessing the quality of service of holographic services very relevant.The aim of the work is to evaluate the quality of perception of holographic conference calls using a subjective evaluation method on a model network. The work uses methods of subjective assessment of the quality of perception. The materials presented in the article reflect the results of the authors' experimental research work on studying the problem of the quality of perception of holographic copies. A description of the developed scheme of a full-scale experiment is given.Results. The data obtained as a result of the work of an expert group on assessing the quality of perception are presented. The subjective assessment of the quality of perception of a holographic image begins to deteriorate with 8 connections and becomes unsatisfactory with 12 connections, which must be taken into account when planning experimental studies of work on assessing the quality of perception. Novelty. For the first time, an assessment of the quality of perception of the provision of a holographic conferencing service was carried out using a subjective assessment method. Theoretical significance. The influence of increasing the number of holographic traffic flows on the quality of perception of the received content is analyzed. Practical significance. Expanding the possibilities for assessing the degree of user satisfaction with holographic services.

Implementation of the Design Thinking Method in Optimizing the UI/UX of the Maxim Application

The Maxim application faces low user satisfaction, particularly in terms of ease of navigation and feature access speed. The average user satisfaction with ease of navigation before the improvements was 53.44%, while satisfaction with feature access speed reached only 52.43%. This study aims to improve the quality of the user interface (UI) and user experience (UX) by applying the Design Thinking method. This method involves five stages empathize, define, ideate, prototype, and test, which are used to identify problems, design solutions, and test the results of the improvements. Data were collected through interviews, questionnaires, and user reviews on Playstore, which were then evaluated using A/B testing with 100 respondents. The results showed that after the improvements, user satisfaction with ease of navigation increased to 73.77%, while feature access speed increased to 73.00%. Therefore, the application of the Design Thinking method successfully enhanced both the ease of use and the speed of feature access in the Maxim application.

Implementation and evaluation of a mobile application to support occupational therapy education

Purpose This study aims to evaluate the usability and effectiveness of a mobile application, ValTO, designed to enhance communication and professional reasoning skills in occupational therapy students through a case-based learning approach. Design/methodology/approach A descriptive exploratory study was conducted with 32 second-year occupational therapy students. The usability of the app was assessed using the Mobile Application Rating Scale and the System Usability Scale, complemented by the University of Oviedo’s Learning Satisfaction Survey. Findings The majority of students (77.8%) rated the app above average on the System Usability Scale, with 50% scoring it as excellent. Mobile Application Rating Scale scores revealed high ratings across functionality, aesthetics and information quality, with a significant correlation between app usability and user satisfaction. Increased student satisfaction was also observed in the Learning Satisfaction Survey compared to previous years. Originality/value ValTO integrates modern mobile health tools into occupational therapy education, enhancing students’ decision-making skills in an innovative, real-world context. This study contributes to the growing body of research on mobile health applications in educational settings, demonstrating their potential to improve both student engagement and learning outcomes.

Cloud Platform Business Scenario Modeling Based on Multi-Model Fusion Recommendation Algorithm

In the era of cloud computing, businesses are increasingly relying on cloud platforms to streamline their operations and deliver services efficiently. Recommendation systems play a pivotal role in suggesting suitable services and resources to enhance user experience and optimize resource allocation. This paper presents a novel approach, the Multi-Model Fusion Recommendation Algorithm (MMFRA), which integrates multiple recommendation models using advanced fusion techniques to enhance the accuracy of recommendations in cloud platform business scenarios. The implementation process of MMFRA involves combining diverse recommendation models, such as collaborative filtering, content-based filtering, and matrix factorization, into a unified framework that leverages their strengths while mitigating individual limitations. This fusion process is designed to achieve higher precision in service recommendations by considering various aspects of user behavior and preferences. Through a comprehensive evaluation in a simulated cloud platform environment, MMFRA demonstrates superior performance in terms of recommendation accuracy and user satisfaction. The proposed algorithm offers significant potential for enhancing the effectiveness of cloud platform services, ultimately benefiting both service providers and users.