User Satisfaction Research Articles

A Comparative Analysis Of Collaborative Filtering Models For Game Recommendation Using Cosine Similarity, SVD, K-Means Clustering And Real-Time Game Insights

This paper presents a study on GameRS, a game recommendation system that employs collaborative filtering techniques, including Cosine Similarity, Singular Value Decomposition (SVD), and K-means. Clustering, in conjunction with real-time game insights facilitated by Groq AI. The system integrates data from the RAWG API to provide game recommendations and dynamically retrieves game details, including genres, platforms, reviews, ratings, release dates, trailers, and gameplay mechanics. Furthermore, it presents a novel User Satisfaction Index for Games (USIG), a metric designed to assess anticipated enjoyment by considering factors such as rating, genre similarity, and platform similarity. Users may pose specific inquiries related to games, to which Groq AI provides succinct and accurate answers. GameRS, developed with Streamlit, manages both the front-end interface and back-end logic, allowing users to access recommendations, game details, trailers, and additional features. Evaluation results indicate that Cosine Similarity surpasses alternative methods regarding recall and hit rate, whereas SVD and K-means provide insights into latent user preferences and clustering behaviors.

Development and Evaluation of an AI-Based Chatbot for Preventing Social Media Addiction: A Waterfall Model Approach

The rapid growth of social media has transformed interaction and communication patterns, but it has also led to the rise of social media addiction, particularly among teenagers and young adults. This addiction, marked by compulsive usage and negative impacts on mental health and daily life, necessitates effective interventions. This research explores the development and evaluation of an AI-based chatbot designed to mitigate social media addiction by employing cognitive and behavioural strategies. The study utilizes the Waterfall model—a structured, sequential approach—in the chatbot’s development, encompassing stages from needs analysis to maintenance. The chatbot’s effectiveness was assessed through rigorous testing and user feedback. The methodology included problem analysis, system design, implementation, testing, and iterative improvements. A comprehensive needs analysis identified the psychological and behavioural factors contributing to social media addiction, leading to the design of a prototype chatbot integrated with AI for dynamic content adaptation and real-time feedback. The implementation phase focused on coding and system integration, followed by rigorous testing using Black Box Testing and the System Usability Scale (SUS) to ensure functionality and user-friendliness. Results indicate that the chatbot significantly reduced social media addiction scores, with a mean decrease from 55.21 to 50.17, supported by a highly significant p-value of <0.0001. User satisfaction was high, particularly regarding ease of use and information quality. However, user engagement declined over time, highlighting the need for ongoing content updates and feature enhancements. This study contributes to the field by providing insights into the application of the Waterfall model in AI chatbot development and offers a scalable solution for addressing social media addiction, with implications for future digital interventions in mental health.

Satisfaction Instruments for Nursing Teleconsultations in Reproductive and Sexual Health: an Integrative Review

Objective: To identify validated instruments for assessing user satisfaction with nursing teleconsultations in reproductive and sexual health. Theoretical Framework: Nursing teleconsultations in the field of reproductive and sexual health are already a reality. In this context, it is necessary to identify the satisfaction level of people assisted by such services to ensure the need for investments and implementations in healthcare services. Method: This is an integrative literature review based on the PRISMA methodology. The article search was conducted in the PubMED and LILACs databases and the Web of Science library. Inclusion criteria were original articles published in the last five years, in Portuguese, English, and Spanish. Duplicate articles were excluded. Results and Discussion: Two articles were identified that present satisfaction instruments for nursing teleconsultations in Reproductive and Sexual Health, both indexed in PUBMED. In addition to these, nine other articles present quantitative and qualitative processes for evaluating nursing teleconsultations. None of the instruments found were validated. Research Implications: A lack of validated instruments for assessing user satisfaction in nursing teleconsultations in general, including in RSH (Reproductive and Sexual Health), was identified. Originality/Value: This study contributes to the evidence of the need to develop validated instruments capable of diagnosing user satisfaction with nursing teleconsultations. Without such rigorous assessment, it is imprecise to collect satisfaction data that supports the use of technologies such as nursing teleconsultations.

Internet Service Provision in Tanzania: An Examination of User Satisfaction, Package Pricing, and Service Challenges

This study examines the dynamics connected to the provision of internet service in Tanzania. Specifically, the study seeks to systematically analyse user perceptions service quality across different ISPs and identify the factors influencing their preferences and choice of ISPs. Two theoretical models, the Service Quality Theory (SERVQUAL) and the Expectancy Disconfirmation Theory (EDT) were applied to guide the study. A qualitative single case study design was used, with more than 800 user-generated comments extracted from a celebrity’s Instagram post. Data were analysed using sentiment analysis, qualitative and quantitative techniques. Our results show that while users acknowledge improvements in reliability of network, still inconsistencies remain, particularly in specific zones of Dar es Salaam and rural areas. T-CONNECT is perceived as having the most reliable network compared to other ISPs. Speed consistency remains a critical issue for all ISPs, with T-CONNECT seen as the most stable, whereas SKT-TZ and TZ-NET struggle, especially during peak hours. SKY-TZ, TZ-NET and TZ-LINK face coverage challenges, especially in rural areas due to infrastructure constraints. Moreover, the study highlights a high demand for reliable service, a push for fiber-optic infrastructure, and a cautious but optimistic outlook on 5G. Generally, the findings reveal that customers’ perceptions of internet service quality are influenced by network quality, and customer service and technical support. Challenges such as connectivity and network issues, pricing transparency and service plans, and customer support significantly affect user satisfaction and ISPs competitiveness. The contribution of this paper stems from its use of advanced NLP methods to examine user sentiments toward Tanzania’s ISPs from Instagram data, to provide insights and comprehensive understanding to industry practitioners and policymakers in promoting a more sustainable future for the industry.

Perancangan Multimedia Informasi Iklan Layanan Masyarakat “Domestic Abuse” Di Dinas Pemberdayaan Perempuan Perlindungan Anak Dan Keluarga Berencana Jawa Barat

Domestic abuse is a social problem in Indonesia that always be inherent and not easy to deal with, the rate of domestic abuse exploded when pandemic happen in Indonesia. in West Java alone there already 2000 case about domestic abuse that already registered. This number can be pressed if society have the courage and awareness about domestic abuse among them, as a victim or as a witness of the abuse. This multimedia application was designed for facilitate the socialization process of domestic abuse in order to cultivate courage in society to report if they see someone they know is a victim of domestic abuse. So, an information multimedia application of domestic abuse public service advertisements with a case study at the West Java Women's Empowerment, Child Protection and Family Planning Office was created. The methodology used is Multimedia Development Life Cycle (MDLC) that have 6 stages (concept, design, material collecting, assembly, testing, and distribution). The , multimedia application of domestic abuse public service advertisements was designed according to users need obtained from observation and implemented using Adobe Animate CC 2019 with Action Script 3.0 programming language.the testing of this application is using black box testing method show that this application running smoothly and fit to what the user wants. The result of this testing show that the average of the testing result from 3 category (design, feature, and user satisfaction) with 12 test parameters is 4,39 (87,8%).

Broadband Services Quality of Experience on Public Higher Educational Institution Users: A Research Direction

Internet access is crucial in facilitating effective learning and communication. However, disparities in internet quality persist, especially within Public Higher Educational Institutions (PHEIs). Despite efforts by broadband providers to enhance services, complaints regarding quality persist among students and staff. Thus, this research aims to investigate users' Quality of Experience (QoE) with broadband services in PHEI campuses, focusing on coverage, service quality, reliability, and usability. Additionally, it seeks to identify user preferences and usage patterns, correlate broadband quality with user satisfaction, and propose improvements. A comprehensive methodology integrating qualitative and quantitative approaches, including surveys, and interviews is proposed. The implications of this research extend to regulatory and policy actions, including infrastructure improvement, ensuring quality of service, supporting online learning, and encouraging research and innovation in broadband technologies. This study aims to inform stakeholders and contribute to enhancing broadband access and quality in PHEIs, ultimately improving educational outcomes and experiences.

Post-Occupancy Evaluation of Adaptively Reused Historical Ecological Buildings in Egypt: The Case of Wekalet Al-Ghoury

Ecological historical buildings were originally designed to maintain acceptable Indoor Environmental Quality (IEQ) for their users and their intended activity. The adaptive reuse of these buildings is considered a great potential opportunity. As a result, these structures and their passive applied strategies might be no longer as effective as they once were. The purpose of this study is to evaluate the user satisfaction with IEQ in an adaptively reused historical ecological building; Wekalet Al-Ghoury. This post-occupancy evaluation was conducted using a mixed method approach that involved the use of a questionnaire and a semi-structured interview. Quantitative results of the questionnaire were statistically evaluated using SPSS software and interviews were thematically analyzed. The questionnaire was first use to capture responses’ diversity among staff and tenants, the semi-structured interview has then helped to discuss and justify quantitative findings. Occupants were generally satisfied with thermal and acoustic conditions and dissatisfied the most with the low level of IEQ control, poor indoor air quality and inconsistent light distribution. On the other hand, the interview has reflected responsive occupant behaviour to perform their work where occupants are free to change their place, change their working hours and introduce some movable lighting and ventilation equipment.

Exploring Instructors' Experiences with Learning Management Systems: A Technological Perspective on User Satisfaction in Distance Learning

The rapid growth of educational technology in higher education has led to the widespread use of Learning Management Systems (LMS) in distance learning. However, limited research has focused on measuring instructors' satisfaction with these systems, despite its critical role in course engagement and enhancing student interaction with course content. This study proposes a comprehensive framework for evaluating instructors' satisfaction with LMS usage. Thus; We adopted DeLone and McLean's Information System Success Model to empirically assess the relationships between Information Quality (INQ), System Quality (SYQ), Service Quality (SQ), Perceived Usefulness (PU), User Loyalty (UL), and User Satisfaction (US). The results indicate that SQ has a greater effect on the US than SYQ, PU, and INQ. Moreover, the results show that the US has a significant direct influence on UL. The study focuses on higher education instructors and employs a questionnaire-based survey for data collection. Based on the results, it is recommended that LMS design should consider the needs of both instructors and students, incorporating the latest technological advancements. Neglecting instructors' satisfaction in LMS development could negatively influence the outcomes of distance learning courses.

Investigating the Impact of LMS Quality, Technical Support and Perceived Usefulness on Student Satisfaction in Saudi Universities

Educational technology, particularly Learning Management Systems (LMS), has seen significant growth in recent years. As LMS platforms have evolved rapidly, managing them effectively has become crucial for the success of online courses. Many institutions and organizations now focus on developing LMS solutions as part of their e-learning strategies. LMS platforms are used in various educational contexts, including campus-based, distance, classroom, online, traditional, modern, and massive open online courses. They integrate numerous technological tools to support and enhance each stage of the learning process. In this context, user satisfaction is often discussed as a critical measure of LMS success. This study examines the primary factors influencing user satisfaction and the overall impact of LMS usage. It examines how these factors relate to student satisfaction and assesses LMS effectiveness. Data was gathered using a questionnaire based on previous research. The findings reveal that all identified factors positively impact student satisfaction, suggesting that greater user satisfaction leads to improved benefits for students.

Information needs in bug reports for web applications

Given the widespread popularity and increasing reliance on long-lived web applications (such as Netflix and Facebook), effective and efficient bug reproduction is essential to maintain functionality and user satisfaction throughout the application’s lifetime. Developers use bug reports to localize, reproduce, and eventually fix software bugs. However, the content of bug reports is not always helpful (e.g., due to incomplete or missing information). In this study, we explore what type of information is often missing in bug reports and how that information is presented in them. We manually analyzed the initial and final versions of 1000 bug reports from 10 popular open-source web-based applications. The analysis revealed that, regardless of the type of software (e.g., e-commerce software or personal tools), diagnostic suggestions from developers and end-user usage information are often missing in initial bug reports but only added later throughout the lifetime of a bug report. Also, textual descriptions and screenshots are used most to describe bugs, regardless of the type of bug (e.g., a functional or performance error). The study highlighted the need for improved bug reporting templates and tools to improve bug report quality and efficiency in web application development and maintenance.

Unpacking the care-related quality of life effect of England's publicly funded adult social care. A panel data analysis.

Adult Social Care (ASC) is the publicly-funded long-term care program in England that provides support with activities of daily living to people experiencing mental and/or physical challenges. Existing evidence suggests that ASC expenditure improves service users' care-related quality of life (CRQoL). However, less is known about the channels through which this effect exists and the effect on outcomes other than CRQoL. We fill this gap by analyzing survey data on ASC service users who received long-term support from 2014/15 to 2019/20 using panel data instrumental variable methods. We find that the beneficial impact of ASC expenditure on the CRQoL of both new and existing users is mostly driven by users aged 18-64 without any learning disability and users with no learning disability aged 65 or older receiving community-based ASC. Moreover, control over daily life, occupation, and social participation are the CRQoL domains that are improved the most. We also find that ASC expenditure has a beneficial effect on several other outcomes beyond CRQoL for both new and existing users including user satisfaction and experience, the ability to carry out activities of daily living independently, whether their home is designed around needs, accessibility to local places, general health, and mental health through reduced anxiety and depression. Greater ASC expenditure, however, does not address the need for other forms of support such as unpaid informal and privately-funded care.

A novel 3D printed model for educating medical students on limb fractures: a randomized controlled preliminary study

BackgroundMedical education related to bone fracture must address numerous challenges including complex anatomical characteristics, diverse injury mechanisms, fracture typing, and treatment modalities. Our newly developed 3D printed model comprises components that may be combined or split to simulate various anatomical features, fracture types, and treatment modalities. This study aims to analyze the teaching utility of the new 3D-printed model compared with the traditional solid model.MethodsThis prospective study included 112 students randomly assigned to fracture-related education with a conventional model or the newly developed 3D-printed model. All students received 40 min of lecture, 20 min for femoral neck and 20 min for tibiofibular fractures, and a post-class quiz (10 min each) immediately followed. Scores on tests of fracture-related knowledge and user satisfaction were measured pre and post education for comparison.ResultsThe 3D printing group had an advantage in retention of anatomic knowledge, fracture typing and choice of treatment for the femoral neck fracture (P < 0.05). For the tibiofibular fracture the 3D printing group had an advantage in retention of anatomic knowledge and fracture complications (P < 0.05).Scores on the questionnaire survey also showed increased satisfaction in the 3D-printed model group(P < 0.05).ConclusionsThe proposed 3D-printed model can enhance the teaching effect significantly and has potential for widespread use in medical student education.

A Technology-Supported Psychoeducational Intervention for Older Adults and Their Families to Improve Social Isolation, Loneliness, and Intergenerational Connectedness-A Randomized Controlled Study.

Information and communication technologies (ICT) provide digital tools to support and facilitate social engagement. However, the extent to which new ICTs, such as instant messaging, and training on its use, enhance intergenerational family interactions and reduce social isolation and loneliness needs further exploration. In the present study, we developed a brief psychoeducational intervention to promote older adults and their family members (N = 64) to use new technologies to increase communication with each other. With a randomized controlled trial design, we evaluated the effectiveness of the intervention in changing primarily participants' intergenerational interactions, perceived social isolation, and loneliness. Through repeated-measures analysis of variance, an overall condition by time effect was found in younger family members such that contact frequency improved in the intervention condition compared with the waitlist control condition. Using a dyadic framework, we further investigated the role of the intervention in fostering interactions among family members. Dyadic analyses showed a partner effect with contact frequency in younger adults at pre-assessment predicting contact frequency of older adults at post-assessment. This suggests that support and encouragement from younger family members could increase intergenerational interactions and technology adoption among older adults. Moreover, online phone calls served as a promising tool to enhance intergenerational communication; higher user satisfaction was associated with increased ICT use, perceived usefulness, and fewer barriers to technology. This study provides preliminary findings on the effectiveness of ICT-based interventions for engaging older adults and their family members in the use of newer technologies to promote intergenerational interactions and reduce social isolation.

Predicting noise and vibration in electric brake systems at mass production stage using q-axis current

This study explores the challenges of noise, vibration, and harshness (NVH) in electric brake systems within the context of the automotive industry's shift towards environmentally friendly technologies. The electrification of vehicles and their braking systems leads to weight reduction and enhanced braking efficiency. However, these advancements also yield new NVH challenges. The intricate motor-driven mechanisms of electric brake systems are prone to cogging torque, magnetic imbalance, and radial electromagnetic forces, which degrade the user experience and necessitate service interventions. Therefore, this study presents an approach to predicting noise and vibration levels using q-axis current measurements obtained during the initial actuation of electric brake systems in the mass production stage. This study aims to establish a predictive model that can identify potential NVH problems early, enhance the quality and reliability of electric brake systems, and improve user satisfaction. This method enhances sustainable vehicle technologies, improving the overall user experience. The study delves into the intricate relationship between electrical currents and NVH phenomena by integrating electromagnetic analysis with mechanical dynamics. Therefore, this paves the way for the development of advanced diagnostic tools in electric vehicle technology.

Development and Validation of a Workflow Instrument to Evaluate the Success of Electronic Health Records Implementation from a Nursing Perspective: An Exploratory and Descriptive Study

Introduction Electronic medical records (EMR) have been recognized as practical tools for the improvement of the quality and safety of healthcare despite their occasional use in hospitals worldwide. Epic is an integrated software suite with functionality ranging from patient administration through systems for healthcare providers to billing systems, integration to the primary health sector, and a facility for granting patients access to their data. The implementation process is complicated; creating effective methods requires understanding users’ attitudes about these information technologies. This study aimed to develop and validate a questionnaire that measures the efficacy of using workflow during the EMR (Epic) implementation. Furthermore, it describes the nurses’ views on the use of quality and satisfaction of workflow. Methods Following a literature review, an initial pool of 57 items was generated based on the following three primary constructs: use, quality, and user satisfaction with the tool’s workflow. Internal consistency reliability was assessed by calculating Cronbach’s alpha and correlation coefficients for construct validity. Results The final scale comprised 53 items corresponding to the following five distinct factors: use of workflow, information quality, service quality, use of EMR, and user satisfaction and the influence of workflow on clinical care. The full scale was assessed, and Cronbach’s alpha of 0.95 was found. The construct validity was assessed using the Kaiser-Meyer-Olkin measure of sampling adequacy and Bartlett’s Test of Sphericity (0.976). Construct validity was tested twice using Exploratory Factor Analysis-Principal Component Analysis. Conclusion The use of workflow, quality of information, quality of service, use of EMR, and user satisfaction scale have good reliability and validity and can be used to implement technology in healthcare.

Enhancing User Experience on Social Media Platforms: A Flow Theory-Based Approach

In recent years, social media platforms, such as Facebook and Twitter have seen rapid growth and are favored by users of all ages. However, in the age of information overload, the quality of interactions on social media platforms varies significantly, leading to negative feelings among users and affecting their overall experience and loyalty. This study takes the Flow theory as its starting point and investigates the needs of social media users at various stages of the flow experience. We propose modifications to the flow theory model with the aim of enhancing user experience and satisfaction. Firstly, based on literature review, we identify micro-level issues of the product, propose hypotheses, and construct validation experiments in the context of social media. The experiment collects Electrodermal Activity (EDA) and heart rate variability (HRV) data of 31 participants using a multi-channel physiological instrument and collects their emotional experience data using the Pleasure-Arousal-Dominance (PAD) scale. Results indicate that a combined textual-graphical interface layout is superior to other layouts in positively inducing flow and emotional experiences. Positive content tonality is more effective at eliciting positive flow and emotional experiences than negative or neutral content. Video presentations have a stronger sense of immersion and emotional expression, making them more conducive to inducing flow experiences and positive emotional feedback. This study, grounded in user psychology, provides a theoretical framework based on flow and emotional experiences for social media product design, quantitatively examining the positive psychological activities of users when using social media.

Automated orofacial virtual patient creation: A proof of concept

ObjectivesTo (1) construct a virtual patient (VP) using facial scan, intraoral scan, and low-dose computed tomography scab based on an Artificial intelligence (AI)-approach, (2) quantitatively compare it with AI-refined and semi-automatic registration, and (3) qualitatively evaluate user satisfaction when using virtual patient as a communication tool in clinical practice. Materials and methodsA dataset of 20 facial scans, intraoral scans, and low-dose computed tomography scans was imported into the Virtual Patient Creator platform to create an automated virtual patient. The accuracy of the virtual patients created using different approaches was further analyzed in the Mimics software. The accuracy (% of corrections required), consistency, and time efficiency of the AI-driven virtual patient registration were then compared with the AI-refined and semi-automatic registration (clinical reference). User satisfaction was assessed through a survey of 35 dentists and 25 laypersons who rated the virtual patient's realism and usefulness for treatment planning and communication on a 5-point scale. ResultsThe accuracy for AI-driven, AI-refined, and semi-automatic registration virtual patient was 85 %, 85 %, and 100 % for the upper and middle thirds of the face, and 30 %, 30 %, and 35 % for the lower third. Registration consistency was 1, 1 and 0.99, and the average time was 26.5, 30.8, and 385 s, respectively (18-fold time reduction with AI). The inferior facial third exhibited the highest registration mismatch between facial scan and computed tomography. User satisfaction with the virtual patient was consistently high among both dentists and laypersons, with most responses indicating very high satisfaction regarding realism and usefulness as a communication tool. ConclusionThe AI-driven registration can provide clinically accurate, fast, and consistent virtual patient creation using facial scans, intraoral scans, and low-dose computed tomography scans, enabling interpersonal communication. Clinical significanceUsing AI for automated segmentation and registration of maxillofacial structures leads to clinically efficient and accurate VP creation, opening the doors for its widespread use in diagnosis, treatment planning, and interprofessional and professional-patient communication.

User Satisfaction and Challenges in Plavon Dukcapil Online Services

General Background: The effectiveness of public administration services in Indonesia is crucial as the country transitions to digital platforms. Specific Background: This study examines the online services of Plavon Dukcapil in Rangkah Kidul Village, Sidoarjo Subdistrict, highlighting challenges faced by elderly users in navigating these services. Knowledge Gap: While existing research addresses the advantages of e-government, few studies focus on user satisfaction and effectiveness in rural areas, particularly regarding Plavon Dukcapil. Aims: This research aims to assess the effectiveness of Plavon Dukcapil's online services, focusing on community satisfaction related to service quality, speed, and accessibility. Results: Findings indicate that although service productivity aligns with regulations, efficiency is hindered by incomplete documentation and delays. Community satisfaction is compromised as many residents prefer in-person services over online options. Novelty: This study offers new insights into the operational challenges of e-government in rural Indonesia and highlights the need for improved community engagement. Implications: Enhancing communication and technical support for users, especially the elderly, could significantly improve the effectiveness and satisfaction of Plavon Dukcapil services, fostering better public service delivery in the digital era. Highlights: Digital Transformation: The study emphasizes the role of technology in enhancing public service accessibility and efficiency. Community Preferences: Many residents still prefer traditional in-person services over online platforms, indicating a gap in user experience. Need for Engagement: Improved communication and support for vulnerable populations, particularly the elderly, are essential for increasing online service effectiveness. Keywords: Plavon Dukcapil, Online Services, Community Satisfaction, E-Government, Public Administration

Adoption of mobile banking to promote financial inclusion among rural farming community: Drivers and satisfaction level perspective

This study investigates the factors driving mobile banking adoption and user satisfaction to enhance financial inclusion among rural farming communities, using survey data from 400 farmers. An unpaired t-test reveals a significant difference in receiving international remittance, fund transfers, mobile recharge, and allowance during and before COVID-19, but no significant difference in cash-in, cash-out, and utility bill payments. During the pandemic, most mobile banking transactions increased in volume and frequency. The result also reveals that the majority of rural people (approximately 88 %) enjoy mobile banking services. The Index value of farmers' satisfaction level towards mobile banking transactions indicates that respondents were satisfied with various mobile banking transactions but were dissatisfied with the higher service fees. Logit estimation shows that age, education, income, farm size, and distance from the bank branch were the primary factors driving the adoption of mobile banking among rural farming communities. However, expansion of agent service, reduction of service charges, and protection from fraudulent transactions are essential for expanding the adoption of mobile banking services in rural areas and accelerating their financial inclusion.

Evaluating the influence of characteristics on the acceptance of artificial intelligence application: An empirical study

Artificial intelligence has accelerated the application scenarios and business value of map applications. However, the sustained intention of map applications utilizing artificial intelligence technology has not received sufficient attention and scholarly investigation. Therefore, this study constructs a theoretical model of the continuance intention of map applications, based on their characteristics and combined with user satisfaction and trust, aiming to explore the influence mechanism of this continuance intention. The results of structural equation modeling show that not only user trust and satisfaction have a positive effect on continuance intention towards map applications, but also interactivity characteristics, reliability characteristics, richness characteristics, and personalized characteristics have a positive effect on user satisfaction and trust towards map applications. This study reveals the influence mechanism of map application continuance intention, which can effectively guide map application operators to optimize their services and then provide practical insights for users to use map applications consistently.