Measure User Satisfaction Research Articles

Simplifying Cosplay Costume Selection with a Web-Based Recommendation System

Cosplay is an activity where individuals imitate the dressing style of a character, typically from fictional works such as games, anime, VTubers, and others. Before engaging in cosplay activities, cosplayers need to choose the desired costume according to their individual needs. Therefore, cosplayers often experience confusion in selecting a cosplay costume due to the many costume options and the desired costume criteria. One way to assist in making decisions is through a recommendation system. A recommendation system can help users make decisions based on their preferences. In this study, the design and development of a webbased recommendation system for selecting cosplay costumes using the Simple Additive Weighting method were conducted. This system was then evaluated by 52 respondents. Based on a survey conducted using the EUCS method to measure user satisfaction levels, an average score of 80.65% was obtained.

Glass serviceability limits: new evidence from human-centred studies

AbstractThe performance of the building envelope is crucial for minimizing operational carbon emissions of buildings and maintaining indoor comfort. Contemporary building envelopes, such as engineered glazed façades, achieve high performance levels but often add a significant amount of embodied carbon. There is therefore an incentive to reduce the thickness of the glass panels, but the minimum thickness possible is often not governed by strength or manufacturing limits but rather by the deflection (serviceability) limits. Despite objective criteria guiding serviceability limits, user acceptance of deformation remains unexplored, leading to conservative designs. This paper introduces a novel method for measuring user satisfaction with glass deformations, aiming to establish acceptance thresholds comparable to objective criteria. The study involves a novel experimental campaign to assess volunteers' levels of perception and acceptance of various glass deformations. The glass was deformed using a bespoke electro-pneumatic system at levels corresponding to below, above, and at the current serviceability limit. The results demonstrate the feasibility of measuring human responses to deformations in the glazing and provide essential data for setting serviceability limits. The experiments and corresponding user satisfaction feedback indicate that the current serviceability limit of L/50, may be relaxed, thereby presenting opportunities for material efficiency, such as the adoption of thinner glass in facades. The methodology effectively captures human responses, revealing that changes in reflection were the primary reason for the perception of movement; leading to a higher perception of glazing movement and a lower acceptance at night. Overall, participants felt safe regardless of their prior knowledge on glass properties, and providing this information to participants did not improve acceptance, which was already sufficiently high. The findings from this research fill an important knowledge gap in understanding user acceptance of glass deformations, crucial for comprehensive user satisfaction assessments and evidence-based reductions in glazing thickness.

Beyond Technical Specs: Using AHP to Prioritize User Needs in Turkish Basketball Arena Designs

Basketball arenas are crucial spaces that must meet specific standards to ensure the sustainability of the sport and the quality of play. While Post-Occupancy Evaluation (POE) assesses these standards, it often assumes that all performance indicators are equally important, potentially leading to a gap between design intent and actual user experience. This study aims to bridge this gap by using the Analytic Hierarchy Process (AHP) to prioritize evaluation criteria for Turkish professional basketball arenas designed for national and international matches, regional/local competitions, and training programs. Existing studies and reports indicate that basketball arenas in Turkey often fall short in meeting necessary physical requirements and exhibit performance deficiencies. To address this gap, this study identifies factors determining arena performance, categorized as technical, functional, and behavioral based on Preiser's framework. These criteria were further categorized according to different spaces within the arena, including general use areas, administrative spaces, and athlete-specific areas. A panel of expert sports facility design professionals provided judgments about the relative importance of these criteria using pairwise comparisons. The AHP method was then employed to calculate priority weights for each criterion. The results reveal the relative importance of different criteria for each space. For example, in general use areas, "furniture suitability/sufficiency" and "provision of ergonomic conditions for the disabled" ranked highest. In administrative spaces, "fire protection" and "accessibility" were deemed most important, while in athlete-specific areas, "visual and auditory privacy" and "security" took precedence. This study demonstrates the potential of AHP for developing a systematic and reliable framework for qualitative evaluations that measure user satisfaction. AHP-based evaluation models offer a valuable tool for architects, facility managers, and decision-makers to assess architectural design quality, prioritize design criteria, and support user-centered design processes.

Measurement of User Satisfaction for Gamification-based Programming E-Learning Platform using End-user Computing Satisfaction Method

Measurement of User Satisfaction for Gamification-based Programming E-Learning Platform using End-user Computing Satisfaction Method

Tingkat Kepuasan Pasien Terhadap Pelayanan Kefarmasian di Apotek Parviz Kota Palangka Raya

Pharmaceutical services involve direct and responsible care for patients related to pharmaceutical preparations, aiming to achieve definite results that enhance patients' quality of life. One indicator of healthcare quality is measuring user satisfaction. Apotek Parviz provides pharmaceutical services to the surrounding community, offering dual healthcare services—doctor diagnosis and pharmaceutical care—thus improving the health and quality of life for residents of Palangka Raya City. This study aims to determine patient satisfaction levels with pharmaceutical services at Apotek Parviz in Palangka Raya City, based on five dimensions: tangibility, reliability, responsiveness, assurance, and empathy. This descriptive study used a questionnaire with a sample size of 86 respondents selected through accidental sampling. The research results showed that the satisfaction percentages for each dimension were: 87.43% for tangibility, 81.16% for reliability, 83.25% for responsiveness, 84.49% for assurance, and 83.25% for empathy. The overall average satisfaction across the five dimensions, according to the Likert scale, was 84.18%, indicating that patients are very satisfied with the pharmaceutical services at Apotek Parviz in Palangka Raya City.

Framework for Measuring Relevancy in Discovery Environments

Institutional discovery environments now serve as central resource databases for researchers in the academic environment. Over the last several decades, there have been numerous discovery layer research inquiries centering primarily on user satisfaction measures of discovery system effectiveness. This study focuses on the creation of a largely automated method for evaluating discovery layer quality, utilizing the bibliographic sources from student research projects. Building on past research, the current study replaces a semiautomated Excel Fuzzy Lookup Add-In process witha fully scripted R-based approach, which employs the stringdist R package and applies the Jaro-Winkler distance metric as the matching evaluator. The researchers consider the error rate incurred by relying solely on an automated matching metric. They also use Open Refine for normalization processes and package the tools together on an OSF site for other institutions to use. Since the R-based approach does not require special processing or time and can be reproduced with minimal effort, it will allow future studies and users of our method to capture larger sample sizes, boosting validity. While the assessment process has been streamlined and shows promise, there remain issues in establishing solid connections between research paper bibliographies and discovery layer use. Subsequent research will focus on creating alternatives to paper titles as search proxies that better resemble genuine information-seeking behavior and comparing undergraduate and graduate student interactions within discovery environments.

Analyzing User Satisfaction of a Study Abroad Guidance Company Website Using the Customer Satisfaction Index (CSI) Method

XYZ is an education technology company dedicated to assisting Indonesian students in gaining acceptance to universities worldwide through full scholarship, partial, or self-funding. Until 2024, XYZ has a thousand alumni accepted in 46 countries and many universities worldwide. One of the marketing trackers that XYZ has is the website. With this website, the company will deliver the service to customers and receive user feedback to run and improve their services. The measurement of user satisfaction level can be used to improve the quality of service in digital media. The method used in this study to measure user satisfaction level is the Customer Satisfaction Index (CSI), which evaluates satisfaction across five (5) dimensions: usability, information quality, assurance, reliability, and data accessibility. This method's result shows a value of 83.64%, which means the XYZ website performance is in the "Very Satisfied" category. These findings suggest that XYZ Company's website is highly effective and has a "Very Satisfied" result category in meeting user needs, paving the way for continued success in their mission to assist Indonesian students in pursuing global education opportunities

Analisis Dan Perancangan Antarmuka Situs Portal Belajar Bagi Penyandang Dyschromatopsia

Currently, many learning websites have been developed to assist people in self-learning from home. However, the developed learning websites are not yet user-friendly for individuals with dyschromatopsia. This is due to the design process not considering using colors that are easily distinguishable for users with dyschromatopsia. Based on the issues, a learning portal website interface that is friendly to individuals with dyschromatopsia is needed. In the design of this application, the method used is User-Centered Design (UCD). Through the UCD method, the needs of users with dyschromatopsia become the main focus of the research. Testing is conducted through usability testing using the Overall Relative Efficiency, Completion Rate, and the System Usability Scale (SUS) questionnaire to measure user satisfaction. The test results show an Overall Relative Efficiency value ranging from 72.675% to 92.130%, Completion Rate testing yields an effectiveness value range of 82% to 96%, and SUS testing yields a score of 81.25. In addition, the author also conducted testing for color-blind accessibility, which resulted in the finding that the contrast ratio of all the pages on the CourseHack website meets the minimum contrast ratio standards.

User satisfaction with child and adolescent mental health services: the association between user satisfaction and clinical outcomes

BackgroundThis study aimed to examine the association between user satisfaction and clinical outcomes with child and adolescent mental health services (CAMHS) from the perspective of young people and their parents. The evidence bases for CAMHS user satisfaction measures are limited, with few studies investigating the link between user satisfaction and clinical outcomes. In particular, the perspectives of young people are missing.MethodsThe parent and youth versions of the Experience of Service Questionnaire (ESQ), which evaluates the factors of general satisfaction (GS), satisfaction with care (SWC) and satisfaction with environment (SWE), were used to measure user satisfaction. The outcome measures were scores on the Strengths and Difficulties Questionnaire (SDQ), Children’s Global Assessment Scale (CGAS), and Health of the Nation Outcome Scales for Children and Adolescents (HoNOSCA). Hierarchical regression analysis was conducted on data collected from 233 young people and 495 parents who utilized CAMHS services.ResultsGS and SWC predicted outcomes for both young people (ΔR2 = 0.08, p <.05) and parents (ΔR2 = 0.01, p <.05), indicating that user satisfaction had a significant impact on clinical outcomes for CAMHS users. In addition, GS and SWC significantly predicted young people-reported outcomes in the interaction model (ΔR2 = 0.10, p <.05), while no significant association was found with parent-reported outcomes (ΔR2 = 0.02, p =.09).ConclusionUser satisfaction, particularly for young people, has a significant impact on clinical outcomes. The causal relationship between user satisfaction and mental health outcomes requires further study.

Effectiveness of IT-supported patient recruitment: study protocol for an interrupted time series study at ten German university hospitals

BackgroundAs part of the German Medical Informatics Initiative, the MIRACUM project establishes data integration centers across ten German university hospitals. The embedded MIRACUM Use Case “Alerting in Care - IT Support for Patient Recruitment”, aims to support the recruitment into clinical trials by automatically querying the repositories for patients satisfying eligibility criteria and presenting them as screening candidates. The objective of this study is to investigate whether the developed recruitment tool has a positive effect on study recruitment within a multi-center environment by increasing the number of participants. Its secondary objective is the measurement of organizational burden and user satisfaction of the provided IT solution.MethodsThe study uses an Interrupted Time Series Design with a duration of 15 months. All trials start in the control phase of randomized length with regular recruitment and change to the intervention phase with additional IT support. The intervention consists of the application of a recruitment-support system which uses patient data collected in general care for screening according to specific criteria. The inclusion and exclusion criteria of all selected trials are translated into a machine-readable format using the OHDSI ATLAS tool. All patient data from the data integration centers is regularly checked against these criteria. The primary outcome is the number of participants recruited per trial and week standardized by the targeted number of participants per week and the expected recruitment duration of the specific trial. Secondary outcomes are usability, usefulness, and efficacy of the recruitment support. Sample size calculation based on simple parallel group assumption can demonstrate an effect size of d=0.57 on a significance level of 5% and a power of 80% with a total number of 100 trials (10 per site). Data describing the included trials and the recruitment process is collected at each site. The primary analysis will be conducted using linear mixed models with the actual recruitment number per week and trial standardized by the expected recruitment number per week and trial as the dependent variable.DiscussionThe application of an IT-supported recruitment solution developed in the MIRACUM consortium leads to an increased number of recruited participants in studies at German university hospitals. It supports employees engaged in the recruitment of trial participants and is easy to integrate in their daily work.

Klik, Pesan, Nikmati: Sistem Pemesanan Online Terbaru UMKM Pempek Fenny

The development of technology and the COVID-19 pandemic have changed the consumption trends of society. The culinary industry has been affected, but can survive by going online. The Pempek Fenny culinary industry still uses a manual system. This study builds a pempek order information system to improve the information system with various features and measure user satisfaction. The research method uses a mixed method with an action research approach. The population is theculinary industry owner and 6 of its customers purposively. The procedures carried out are problem identification, literature study collection, data collection, system testing, and system evaluation. This finding resulted in efficiency because some activities that were previously done manually can be done automatically by the system with a satisfaction of 3.7. The contribution achieved improves the performance of the culinary industry, the latest features of application development and ordering are more efficient and accurate

Measuring User Satisfaction: Open Source LMS Mobile Application as a Learning Technology

Online learning has become the choice to be implemented in various schools, due to the development of IT technology and the post-covid 19 pandemic making online learning increasingly popular to implement. Mobile Learning Management System is the most dominant used in online learning. This study aims to analyse the level of satisfaction of SMA and SMK teachers in West Sumatra in using the open source Mobile LMS in learning. Currently, teachers in supporting the learning process in their respective schools are still using the open source Mobile LMS with different platforms, some are using Google Classroom, Edmodo, and WhatsApp. Measuring satisfaction with the application of open source Mobile LMS was carried out using the use questionnaire method and structured interviews, to measure useability which consists of four categories, namely usefulness, ease of use, ease of learning and satisfaction. The analysis uses descriptive statistics, where the data is described in the form of tables and diagrams. From the results of data processing, it was found that on average teachers using open source LMS did not support learning at school because the LMS used did not accommodate learning and was not yet integrated, so that monitoring of the learning process of each teacher had not been carried out optimally. Shown by the results of each usefulness category 63%, ease of use 65%, ease of learning 60% and satisfaction 64%. They gave an unfavourable response because they were not as needed (usefulness), they were not easy to use (ease of use), they were not understood to be used (ease of learning) and they did not feel satisfied (satisfaction) while using the open source LMS.

A text-based conversational agent for asthma support: Mixed-methods feasibility study.

Millions of people in the UK have asthma, yet 70% do not access basic care, leading to the largest number of asthma-related deaths in Europe. Chatbots may extend the reach of asthma support and provide a bridge to traditional healthcare. This study evaluates 'Brisa', a chatbot designed to improve asthma patients' self-assessment and self-management. We recruited 150 adults with an asthma diagnosis to test our chatbot. Participants were recruited over three waves through social media and a research recruitment platform. Eligible participants had access to 'Brisa' via a WhatsApp or website version for 28 days and completed entry and exit questionnaires to evaluate user experience and asthma control. Weekly symptom tracking, user interaction metrics, satisfaction measures, and qualitative feedback were utilised to evaluate the chatbot's usability and potential effectiveness, focusing on changes in asthma control and self-reported behavioural improvements. 74% of participants engaged with 'Brisa' at least once. High task completion rates were observed: asthma attack risk assessment (86%), voice recording submission (83%) and asthma control tracking (95.5%). Post use, an 8% improvement in asthma control was reported. User satisfaction surveys indicated positive feedback on helpfulness (80%), privacy (87%), trustworthiness (80%) and functionality (84%) but highlighted a need for improved conversational depth and personalisation. The study indicates that chatbots are effective for asthma support, demonstrated by the high usage of features like risk assessment and control tracking, as well as a statistically significant improvement in asthma control. However, lower satisfaction in conversational flexibility highlights rising expectations for chatbot fluency, influenced by advanced models like ChatGPT. Future health-focused chatbots must balance conversational capability with accuracy and safety to maintain engagement and effectiveness.

A deep learning-based highlight detection with pairwise segment ranking for effective video summarization

In the modern era, the sheer volume of video content available poses significant challenges for viewers trying to extract critical information swiftly. Addressing this issue, our research introduces an innovative Highlight Detection and Pairwise Ranking Model for video summarization. This paper delves into the design and evaluation of a hybrid model that effectively identifies and ranks video segments, producing concise and coherent video summaries. By integrating deep learning techniques for highlight detection with pairwise ranking, our model assesses not only the individual importance of each segment but also its relevance in relation to others. Through extensive experiments on diverse datasets, we demonstrate that our approach consistently outperforms existing state-of-the-art video summarization techniques in terms of both user satisfaction and objective measures. Our findings indicate a promising direction for the efficient summarization of long-form videos, catering to the evolving needs of contemporary audiences.

User Satisfaction Enhancement Strategies for Intelligent Library and Intelligence Services

Abstract China’s library and intelligence organizations have a long history, rich resources and excellent talents and have played an important role in various consulting services. They are currently facing fierce market competition, making it challenging to meet users’ needs. This paper first establishes the principles of digital information resource services, based on the principles, reference to the ACSI model and considers a number of indicators to establish a scientific user satisfaction measurement model of digital resources in line with the actual development of library intelligence. The relationship between intelligent library intelligence and user satisfaction is investigated by combining a measurement model and structural model. Relevant hypotheses are proposed, research variables are identified, and empirical analysis is utilized to evaluate the model’s practicability. The results of the empirical research show that the hypotheses that library intelligence services can improve user satisfaction are verified through the path significance test, and after analysis, we know that the standardized path coefficients of paths 1, 3-7 are 0.526, 0.395, 0.426, 0.536, 0.163, and 0.168, respectively, which are greater than 0 and the P-value is less than 0.05 so that the hypotheses 1, 3-7 are valid. Intelligent library intelligence-related variables have a positive effect on user satisfaction improvement.

Introducing an Antenatal Care Electronic Health System for Low and Middle Income Countries: A Cross-Sectional Study on 1217 Iranian Pregnant Women.

Maternal health care is one of the main challenges worldwide, especially in low- and middle-income countries (LMICs) such as Iran. In this cross-sectional study, we introduce an electronic health software for maternal care that is active under the supervision of the Valiasr Reproductive Health Research Center of Tehran University of Medical Sciences in providing maternal health education to Iranian pregnant women. In addition to describing the details of this open-source software and encouraging LMICs health policymakers to develop such software, this manuscript also provides a cross-sectional report and statistical analysis on anonymous Iranian pregnant women who registered in this system. Since 2015, we have launched an electronic health software in Iran called "niniMED Pregnancy Calendar" in Persian. This system has multiple educational and motivational features for pregnant women, including momentary weight recommendations based on pregnancy week and recommended dates for common tests during pregnancy according to the first day of the last menstrual period in Jalali calendar format. Additionally, we measured user satisfaction with this system using a questionnaire. From 2015 to 2017, 1,217 anonymous Iranian pregnant women registered in this system. The average age of pregnant Iranian women was 30.67 years (30 years and 8 months). Users had a body mass index (BMI) of 24.68 kg.m-2, which had a significant direct relationship with their gestational age (P=5.81e-05) and indicated an improvement in appropriate weight for Iranian women compared to previous studies. We showed that there was a significant direct relationship between the age of Iranian pregnant women and the likelihood of a high-risk pregnancy (P=0.008). We also observed a significant inverse relationship between pregnancy week and their tendency to receive pregnancy-related education (P=0.018). Finally, we found that more than 88% of pregnant Iranian women assessed membership in such systems as completely useful for pregnancy. The development of such electronic health systems for informing pregnant women can provide low-cost maternal education to LMICs pregnant women and potentially assist in managing weight gain during pregnancy and reducing associated risks. It can also be widely accepted by pregnant women.

메타버스 기반 체험형 전시를 위한 UX디자인 평가요인 분석

With the rapid growth of virtual reality technology along with the Fourth Industrial Revolution, various experience contents based on metaverse are emerging. At the same time, metaverse online exhibitions are growing. However, there is a lack of evaluation studies related to user experience in metaverse experiential exhibitions. Therefore, it is necessary to explore new UX design evaluation factors based on metaverse. The purpose of this study is to establish metaverse-based experiential exhibition UX design evaluation factors and find directions for design improvement. The method of this study is, first, to derive metaverse-based experiential UX design evaluation factors through prior research, and second, to derive the importance of each evaluation factor using AHP techniques. Finally, IPA techniques are combined to measure user satisfaction and compare the importance derived from AHP techniques to suggest the direction of improvement of metaverse experiential exhibition UX design. The experimental results showed that the overall importance ranking for each element was reality, reliability, accessibility, usefulness, immersion, value, aesthetics, attractiveness, adaptability, and searchability. By synthesizing the experimental results of this study, we propose metaverse-based experiential exhibition UX design evaluation factors and present a more systematic and convergent evaluation method than existing studies. This study is expected to help provide theoretical support and practical grounds for future research related to metaverse experiential exhibition UX design.

Developing of Construction Permit Application System by Adopting Agile Methodology

Agile methodology is one of the most widely used methodologies in software development in many agencies and organizations thanks to its quick response to user’s needs and feedback and high level of user participation in the development process. This research aimed to develop a construction permit application system to enhance local governmental organizations’ efficiency in providing services to residents by applying Agile methodology and assessing user satisfaction with the system efficiency. The system was developed in the form of a responsive web application. The research was carried out in 2 parts: 1) System development by applying Agile methodology, and 2) Measuring user satisfaction in the efficiency of construction permit application system using black-box testing with a 5-point scale rating and applying descriptive statistics, namely average and standard deviation. The results from the research indicated that user satisfaction with the efficiency of the construction permit application system by adopting Agile methodology was at a very high level, scoring an average of 4.55 and a standard deviation of 0.57. The developed system using Agile led to the practical construction permit application system, which effectively met user’s needs. The system also met the standard criteria, which include the ability to operate according to functionalities designed, user-friendliness, system performance, and satisfaction with security features. Moreover, the system development using Agile also provided quick responses to user needs and thorough, continuous engagements from all users in operations management. This would aid in developing a system that met the users needs and truly addressed current challenges.

Usability Evaluation and Enhancement of the AI-Powered Smart-Campus Framework: A User-Centred Approach

This study employs a user-centred approach to improving the user experience and maximizing the system functionality of an AI-powered smart-campus framework. The study aims to conduct the usability evaluation of the framework and identify areas for improvement. The focus areas include AI-powered features, user interactions, and design concepts. The study used Likert scale evaluations to measure user satisfaction and perceived usability. The identification and application of improvement measures resulted in positive outcomes. The feedback integration technique involves collecting and analyzing user feedback to identify areas for improvement. This feedback is then used to make iterative improvements to the framework. The study found that the feedback integration technique increased user happiness through iterative improvements. The redesign valve interface strategy involves redesigning the valve interface to make it more user-friendly. The study found that the redesign valve interface strategy raised perceived usability. Workflow optimization involves streamlining the workflow to make it more efficient. The study found that workflow optimization reduced completion times. The study used the UMM to evaluate the planning, design, implementation, and feedback aspects of the AI-powered smart-campus framework. The study found that the framework had advanced design maturity, indicating good integration of user personas and workflows. The framework also showed intermediate maturity in planning, with consistency in implementation but space for improvement. The study also highlighted the theoretical connections between UMM dimensions and quantitative metrics. This alignment between qualitative principles and quantitative measures is important for demonstrating the value of user-centred design.

Online Rolling Optimization for Energy Efficiency in Smart Homes

To cope with the variability of electricity consumption patterns, this study proposes an online rolling optimization-based energy efficiency management strategy for smart homes, which considers user preferences on energy saving and electricity comfort. A weight parameter is used to balance these two objectives and users can set them according to their own electricity preferences. The strategy employs predictive models based on historical data and future inputs to forecast system outputs, and applies feedback correction to compensate prediction errors. In order to better express the power consumption satisfaction of users, two measures of user satisfaction are introduced: utility comfort and temperature comfort. Finally, the simulation result shows that the proposed method achieves an average energy reduction rate of 13.97%, which demonstrates that our strategy can achieve significant reductions in power consumption while enhancing user satisfaction.