Academic literature on the topic 'User Experience Analytics'
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Journal articles on the topic "User Experience Analytics"
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Barba, Ian, Ryan Cassidy, Esther De Leon, and B. Justin Williams. "Web Analytics Reveal User Behavior: TTU Libraries’ Experience with Google Analytics." Journal of Web Librarianship 7, no. 4 (2013): 389–400. http://dx.doi.org/10.1080/19322909.2013.828991.
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Irwansyah, M. Azhar, Haried Novriando, and Rendi Apriandi. "Analisis User Experience Aplikasi Bujang Kurir Menggunakan Google Analytics(GA)." Jurnal Edukasi dan Penelitian Informatika (JEPIN) 7, no. 1 (2021): 64. http://dx.doi.org/10.26418/jp.v7i1.43588.
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User experience menjadi satu faktor penting ketika pengguna menggunakan suatu teknologi. Menurut studi yang dilakukan oleh Oracle terhadap 1.342 senior eksekutif Amerika Utara, Eropa, Asia Pasifik dan Amerika latin, 97% responden menyetujui bahwa user experience adalah hal yang kruasial bagi profitabilitas perusahaan yang gagal memberikan user experience yang prima hingga 20% dan 89% mengatakan bahwa user experience yang buruk membuat konsumen beralih ke kompetitor. Salah satu tool yang bisa digunakan membantu menganalisis prilaku konsumen adalah Google Analytics. Dengan menggunakan Google Analytics dapat membantu untuk mengembangkan perancangan desain user experience khususnya “Aplikasi Bujang Kurir”. Aplikasi Bujang Kurir adalah sebuah aplikasi mobile pesan-antar pribadi (Personal Delivery Order Service) yang beroperasi di Kota Pontianak dan sekitarnya. Hasil desain diuji menggunakan User Experience Questionnaire (UEQ), dan mendapat nilai sebagai berikut : Daya Tarik 1.52, Kejelasan 1.57, Efisiensi 1.54, Ketepatan 1.18, Stimulasi 1.36, dan Kebaruan 0.95. Dengan hasil uji UEQ Aplikasi Bujang Kurir tersebut, maka perancangan desain User Experience sudah layak untuk diterapkan ke dalam aplikasi. Dan Pengujian reliabilitas UEQ dengan menggunakan Cronbach Alfha seluruh aspek lebih dari 0,60 yang berarti UEQ Reliebel atau Konsisten.
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Ngulube, Patrick, and Mthokozisi Masumbika Ncube. "Leveraging Learning Analytics to Improve the User Experience of Learning Management Systems in Higher Education Institutions." Information 16, no. 5 (2025): 419. https://doi.org/10.3390/info16050419.
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This systematic review examines the application of learning analytics to enhance user experience within Learning Management Systems in higher education institutions. Addressing a salient knowledge gap regarding the optimal integration of learning analytics for diverse learner populations, this study identifies analytical approaches and delineates implementation challenges that contribute to data misinterpretation and underutilisation. Consequently, the absence of a systematic evaluation of analytical methodologies impedes the capacity of higher education institutes to tailor learning processes to individual student needs. Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, a search was conducted across five academic databases. Studies employing learning analytics within Learning Management Systems environments to improve user experience in higher education institutions were included, while purely theoretical or non-higher education institution studies were excluded, resulting in a final corpus of 41 studies. Methodological rigour was assessed using the Critical Appraisal Skills Programme Checklist. This study revealed diverse learning analytics methodologies and a dual research focus on specific platforms and broader impacts on Learning Management Systems. However, ethical, implementation, generalisability, interpretation, personalisation, and system quality challenges impede effective learning analytics integration for user experience improvement, demanding rigorous and contextually aware strategies. This study’s reliance on existing literature introduces potential selection and database biases. As such, future research should prioritise empirical validation and cross-institutional studies to address these limitations.
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R.Vanitha and Dr.S.R.Swarnalatha. "The Crucial Role Played By Big Data Analytics In Enhancing The User Experience Towards E-Learning." 'Journal of Research & Development' 15, no. 3 (2023): 52–56. https://doi.org/10.5281/zenodo.7701149.
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Today's students and teachers have access to a variety of information because of the adoption of learning management systems (LMS). As the educational system advanced, there was an increase in the total number of pupils enrolled in schools. In recent years, an increasing number of individuals have chosen to get their education via independent study at a distance. Every participant in the educational system, including instructors and students, has a propensity to adjust their practises so that they are in line with the prevailing pedagogical paradigm. As a consequence of this, educational institutions have the obligation to modernise the administrative models and data infrastructures at their institutions in order to improve the effectiveness of their student services and the overall quality of such services. Due to a lack of data storage and analytics capabilities for huge datasets, the enormous volumes of data created by students had to be taken into account and prioritised while creating the educational system. This was necessary because of the lack of capacity for such capabilities. This is one method of analysing the data stored in the LMS. There is a mountain of data to process, and we have a lot of analytical tools at our disposal to help us do so. These insights may then be put to use in the classroom. Developments in cutting-edge technology such as big data analytics have made possible one of the analytical techniques that may be used to find solutions to these difficulties.
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Rohit Sharma. "Data-Driven Personalization : Revolutionizing User Experience." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 5 (2024): 868–77. http://dx.doi.org/10.32628/cseit241051075.
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Data-driven personalization has emerged as a transformative approach in digital user experience design, leveraging advanced analytics and machine learning to tailor content and interfaces to individual users. This article explores five key aspects of data-driven personalization: user behavior analysis, segmentation and targeting, machine learning algorithms, real-time adaptation, and privacy and ethical considerations. It examines the significant impact of personalization on business outcomes, including increased revenue and customer engagement, while also addressing implementation challenges, such as technological complexity and privacy concerns. The article provides insights into the methodologies, processes, and best practices for effective personalization, supported by industry statistics and case studies, offering a comprehensive overview of how organizations can harness this powerful approach to create more engaging, relevant, and effective digital experiences.
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HM, Nurfaida, Eddy Tungadi, and Irfan Syamsuddin. "User Experience Analytics pada Sistem Informasi Politeknik Negeri Ujung Pandang." Jurnal Teknologi Elekterika 19, no. 1 (2022): 48. http://dx.doi.org/10.31963/elekterika.v6i1.3503.
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The Ujung Pandang State Polytechnic (PNUP) manages several departments, consisting of the Department of Electrical Engineering, the Department of Machinery, the Department of Civil, the Department of Chemistry, the Department of Accounting, and the Department of Commerce Administration. In managing how many significant programs, PNUP requires a quality information system to support academic activities by evaluating the system's quality that has been implemented. The PNUP Information System with the URL address https://.www.poliupg.ac.id/ has never been evaluated, where there are several complaints from students and admins regarding obstacles to using the information system. Complaints about the information system's use prompted researchers to research the quality of the PNUP information system. Therefore, the User Experience was analysed from the usability aspect, which was tested with several tools, namely Woorank, SEOquake, PageSpeed and using the SUS method. Testing with the usability aspect approach was carried out on the information system at PNUP. The test results using several tools, namely Woorank, got a score of 78. It was considered suitable for facilitating searches on search engines. Page Speed scored 67 for desktop use and 28 for mobile use. It was considered very bad in loading website pages which were considered to disturb user satisfaction and using the SUS method, with 180 respondents getting a score of 58.65, which is considered usable and has the potential to reduce visitors to the PNUP information system. It can be judged that the PNUP information system has not met the usability aspect.
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Pandiyarajan, Rajkumar, and KOGILAVANI Shanmugavadivel. "OPINION MINING FOR USER EXPERIENCE EVALUATION MODEL USING BAYESIAN ESTIMATION OF MARKOV CHAIN MONTE CARLO TECHNIQUE." DYNA 97, no. 2 (2022): 189–94. http://dx.doi.org/10.6036/10303.
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Online marketing is based on digital technology, including e-commerce marketing, content automation, social media marketing, and e-mail direct marketing provides advanced technology in the digital marketing system. User experience is one of the common strategies for product success. The previous research work provides user experience improvement in ordinary marketing. The proposed research work evaluates the major issues of analyzing user experience based on website data. The extraction process focuses on interfacing Google Analytics through the respective web stores. Google analytics helps to understand the behavior component groups of user’s struggle. Presented cumulative prospect theories in which user involvement is perceived from the perspective of strategy procedure of two various model images. Investigate the affective states on user experience dataset evaluation through affective characteristics involved in user experience design. Furthermore, we study the account for multiple data sets of uncertainties and improve a hierarchical database Prior Probability and Posterior Probability. Presented advanced Markov chain Monte Carlo technique for characteristics evaluation fewer than four affective states by using image-processing methods. A result concludes impacts by mapping its parameters in the perceived user experience function. Concentrate on the central tendency of the data, idiosyncratic user experience models can be built in the estimation process. Keywords: User experience model; opinion mining; Bayesian Function; MCMC; Google Analytics data;
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Ünlü, Sudenaz Ceren. "Enhancing User Experience through AI-Driven Personalization in User Interfaces." Human Computer Interaction 8, no. 1 (2024): 19. http://dx.doi.org/10.62802/m7mqmb52.
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Artificial intelligence (AI) has revolutionized user interface (UI) design by introducing personalization techniques that cater to individual user preferences, behaviors, and contexts. This research explores the integration of AI-driven personalization in user interfaces to enhance user experience (UX), focusing on adaptive design, predictive analytics, and real-time customization. By leveraging machine learning algorithms and behavioral data, AI enables interfaces to evolve dynamically, aligning with the unique needs of each user. This study investigates the role of personalization in improving engagement, satisfaction, and efficiency across various applications, such as e-commerce platforms, healthcare systems, and educational tools. Additionally, it examines the challenges of implementing personalized interfaces, including privacy concerns, data ethics, and algorithmic bias. By addressing these challenges, the research aims to develop best practices for ethical AI integration in user-centered design. The findings contribute to the growing body of knowledge on AI’s transformative potential in creating intuitive, efficient, and user-friendly interfaces, ultimately redefining the standards for digital interaction.
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Walia, Dr Davinder. "AI-Powered Customer Personalization in Banking: A Study of Predictive Analytics and User Experience." International Journal of Environmental Sciences 11, no. 1s (2025): 862–71. https://doi.org/10.64252/wwewna47.
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Background: The use of Artificial Intelligence (AI) in banking has changed the way customer care is delivered by providing tools for predictive analytics and personalised engagement. AI-driven personalisation has become a crucial way for banks to improve the user experience as they try to keep up with changing client expectations in the digital age. Objective: This study looks at how AI-powered predictive analytics may help personalise the experience for customers and how it affects their experience in digital banking settings. Methods: We used a quantitative study design and a structured questionnaire to ask 200 banking clients who use AI-based digital services. We used SPSS to look at the data. We used reliability testing (Cronbach's Alpha), Pearson correlation, and regression analysis to figure out how predictive analytics, personalisation, and user experience are related. Findings: With a Cronbach's Alpha of 0.908, we could be sure that the instrument was reliable. The findings of a simple linear regression showed that predictive analytics has a big effect on consumer personalisation (R² = 0.737, p < 0.001). The Pearson correlation study showed that there is a strong positive link between personalisation and user experience (r = 0.850, p < 0.01). Also, multiple regression analysis showed that predictive analytics and personalisation together account for 75.9% of the differences in user experience (R² = 0.759, F = 310.264, p < 0.001), which supports all three research hypotheses. Conclusion: The results show how important it is for banks to incorporate predictive analytics in their services to improve customer interactions and satisfaction. Personalisation powered by AI not only makes service better, but it also develops trust and long-term relationships with customers. This study adds to both academic literature and banking practice by showing how important AI is for determining the future of digital consumer interactions.
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Walia, Dr Davinder. "AI-Powered Customer Personalization in Banking: A Study of Predictive Analytics and User Experience." International Journal of Environmental Sciences 11, no. 2s (2025): 730–39. https://doi.org/10.64252/y5dfee81.
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Background: The use of Artificial Intelligence (AI) in banking has changed the way customer care is delivered by providing tools for predictive analytics and personalised engagement. AI-driven personalisation has become a crucial way for banks to improve the user experience as they try to keep up with changing client expectations in the digital age. Objective: This study looks at how AI-powered predictive analytics may help personalise the experience for customers and how it affects their experience in digital banking settings. Methods: We used a quantitative study design and a structured questionnaire to ask 200 banking clients who use AI-based digital services. We used SPSS to look at the data. We used reliability testing (Cronbach's Alpha), Pearson correlation, and regression analysis to figure out how predictive analytics, personalisation, and user experience are related. Findings: With a Cronbach's Alpha of 0.908, we could be sure that the instrument was reliable. The findings of a simple linear regression showed that predictive analytics has a big effect on consumer personalisation (R² = 0.737, p < 0.001). The Pearson correlation study showed that there is a strong positive link between personalisation and user experience (r = 0.850, p < 0.01). Also, multiple regression analysis showed that predictive analytics and personalisation together account for 75.9% of the differences in user experience (R² = 0.759, F = 310.264, p < 0.001), which supports all three research hypotheses. Conclusion: The results show how important it is for banks to incorporate predictive analytics in their services to improve customer interactions and satisfaction. Personalisation powered by AI not only makes service better, but it also develops trust and long-term relationships with customers. This study adds to both academic literature and banking practice by showing how important AI is for determining the future of digital consumer interactions.
Dissertations / Theses on the topic "User Experience Analytics"
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Afonso, Nuno Fernando Vaz. "Web analytics : ecommerce case study in a B2B environment." Master's thesis, FEUC, 2014. http://hdl.handle.net/10316/28057.
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Dissertação de mestrado em Marketing, apresentada à Faculdade de Economia da Universidade de Coimbra, sob a orientação de Paulo Melo.<br>The web has become one of most powerful tools of communication in the world today, representing one of the most important environments for the promotion of organizations and the realization of transactions worldwide. Because of that, measuring the results and the return on the investment made on digital materials is increasingly important for professionals, whose job is to monitor knowledge and performance. In this context, web analytics applications are a valuable tool for continuously assess these indicators performance, focusing on the organizations’ website as the core component for most digital strategies. The collection and analysis of web data ultimately aims at content, design and business optimization, based on educated premises supported on figures and facts, as opposed to decision processes based solely on personal inclination from decision makers.
In order to explore the application of these techniques in a business environment, we resort to Google Analytics for the analysis of a case study of a website from an ecommerce IT retailer based in Belgium, working in a B2B environment. This research extensively covers the main indicators available, individually assessing each report’s contribution for the comprehension of business evolution. In addition, we start by defining the ambit of application, the technologies used, as well as the main concepts associated with this kind of tools. Moreover, we also look into the integration of web data with other software applications, for an agile visualization and treatment of the data.
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Gomes, João Fernando dos Anjos. "Recomendação de navegação em portais da internet como um serviço suportado em ferramentas Web Analytics." Master's thesis, Instituto Politécnico de Setúbal. Escola Superior de Ciências Empresariais, 2016. http://hdl.handle.net/10400.26/17292.
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Dissertação apresentada para cumprimento dos requisitos
necessários à obtenção do grau de
Mestre de Sistemas de Informação Organizacionais<br>Com o constante crescimento da utilização da Internet o número de websites e respetivas
páginas contínua a evoluir também, por este motivo, verifica-se uma necessidade de alinhar a
experiência de utilização com os objetivos gerais de um website. Para satisfazer esta
necessidade o sistema de recomendação proposto sugere páginas ao utilizador que possam ser
do seu interesse com base em perfis de navegação de um website em geral. A maioria dos
sistemas de recomendação são baseados em regras de associação ou palavras chave (quando o
conteúdo é considerado). No entanto, quando os dados não são suficientes ou são muito
dispersos e a ordem é considerada, uma abordagem tradicional pode ser inadequada. Por outro
lado, assumindo outro paradigma, a área de Web Analytics, tem obtido um crescimento
considerável, através de ferramentas robustas que permitem a recolha e análise de dados da
internet, a fim de compreender e otimizar eficiência e eficácia do website. O presente artigo
propõe o desenvolvimento de um sistema de recomendação baseado na ferramenta Google
Analytics. O protótipo é composto por dois componentes principais que são: 1) um serviço
responsável pela construção e lógica associada à criação das recomendações; 2) uma biblioteca
incorporável em qualquer website que providenciará um widget de recomendação configurável.
Avaliações preliminares constataram que a implementação segue a lógica do modelo proposto.<br>As the Internet usage keeps increasing, the number of web sites and hence the number of web
pages also keeps increasing, so there is a need to align the user experience with the overall
websites purposes. Toward this requirement, the proposed recommendation systems suggest
the user pages that might be of its interest based on past navigation profiles of overall site usage.
Most of existing recommendation systems are based on association rules or based on keywords
(when content is considered). However, on usage data shortage or sparse data and if sequential
order is to be considered such traditional approaches may become unsuitable. Conversely, the
Web Analytics arena, assuming other paradigm, has experienced a considerable growth through
mature tools that allow the collection and analysis of internet data in order to understand and
optimize website efficiency and efficacy. This work proposes the development of a
recommendation system based on the Google Analytics tool. The prototype is constituted by two
main components which are: 1) a service responsible for the construction and associated logic
that underlies recommendations generation; 2) an embeddable library on any website that will
furnish website with a configurable recommendation widget. Preliminary evaluations had
showed that the implementation follows the logic of the proposed model.
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Lin, Binyuan. "Designing a post activity learning analytics dashboard through information visualization methods." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-293416.
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Rapid developments in the educational system significantly facilitate the popularisation of education, making education more accessible. The learning process should be systematically analyzed to assist teaching, however, traditional learning systems provide limited support for educators. The learning analytics dashboard is, therefore, becoming a popular tool to provide insights into the learning process by analyzing and interpreting the collected data with effective visualizations. With the purpose of improving pedagogical decision-making, it is of importance to provide a comprehensive overview and informative feedback for the learning process. This study aims to explore the affordances and challenges of designing a comprehensive learning analytics dashboard for educators to support personalized learning and adaptive teaching. A large amount of research on the learning analytics dashboard was reviewed as the theoretical foundation. The prototype of the dashboard was developed based on the obtained theories. To examine the prototype, a user study with user experience designers was conducted to evaluate the clarity of the visualization and the effectiveness of the dashboard. The results summarised from the thematic analysis indicated that the dashboard could serve as a potentially valuable tool with overall clear interaction to support educators, and the visualization was considered intuitive to understand the connection of multiple data points. Suggestions for designing a learning analytics dashboard are discussed in terms of visualization, consistency, conception, navigation, interaction, information via text, visual appearance, functionality, and privacy. To further improve the affordances of the dashboard, future research with educators is of importance to conduct.<br>Den snabba tekniska utvecklingen inom utbildningsområdet har avsevärt underlättat populariseringen av utbildningen och gjort den mer tillgänglig. Inlärningsprocessen bör analyseras systematiskt för att stödja denna utveckling, men traditionella inlärningssystem ger begränsat stöd för lärare. Instrumentpaneler (dashboards) för inlärningsanalys har därför blivit ett populärt verktyg för att ge inblick i inlärningsprocessen genom att analysera och tolka den insamlade informationen med effektiva visualiseringar. I syfte att förbättra det pedagogiska beslutsfattandet är det viktigt att ge en omfattande översikt och informativ och kontinuerlig feedback för inlärningsprocessen. Denna studie syftar till att utforska fördelar och utmaningar med att utforma en omfattande instrumentpanel för lärandeanalys för lärare att stödja den individuella inlärningen och därmed kunna anpassa undervisningen. En stor mängd forskning på instrumentpaneler för inlärningsanalys granskades som underlag. Prototypen på instrumentpanelen utvecklades baserat på detta underlag. För att utvärdera prototypen genomfördes en användarstudie med UX-designers för att avgöra visualiseringens tydlighet och instrumentpanelens effektivitet. Resultaten från den tematiska analysen indikerade att instrumentpanelen kunde fungera som ett potentiellt värdefullt verktyg med en överlage tydlig interaktion för att stödja lärare och visualiseringen ansågs vara intuitiv för att förstå relationen mellan datapunkterna. Förslag för att utforma en instrumentpanel för inlärningsanalys diskuteras avseende visualisering, konsistens, uppfattning, navigering, interaktion, information via text, visuellt utseende, funktionalitet och integritet. För att ytterligare förbättra instrumentpanelens är framtida utveckling och utvärdering med pedagoger viktig att genomföra.
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Knopp, Filip. "Zvyšování obchodní výkonnosti webu." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-193052.
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This thesis deals with the improving of website business performance through the optimization with a focus on user experience. Its concern is not how to accumulate more traffic to the website but rather how to motivate website users, persuade and help them achieve desired goals. The aim is to introduce the concept of User Experience (UX) and Conversion Optimization (CRO). Further on, to suggest a general process of the website optimization focused on user experience and to apply this procedure in a case study. The contribution of this thesis is to link the UX/CRO concepts that provide users with a positive brand experience and allow organizations a sustainable competitive advantage, differentiation and higher marketing ROI.
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Skočík, Miroslav. "Internetový marketing." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2014. http://www.nusl.cz/ntk/nusl-224533.
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Diploma thesis focuses on the selection and application of appropriate internet marketing tools. It specifies possible fields of B2C promotion on the internet. It analyses chosen company and its existing operations in the field of internet marketing due to recommended procedures and procedures of its competitors. Diploma thesis uses theoretical knowledge and analysis for application of proposed internet marketing strategy and finally compares performances of applied areas of the internet marketing.
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Yang, Lingxue. "UX design for memory supplementation to support problem-solving tasks in analytic applications." Thesis, Compiègne, 2018. http://www.theses.fr/2018COMP2452/document.
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Cette thèse a été initiée dans un contexte d’amélioration de l'expérience utilisateur (UX) pour l'analyse des données de Business Intelligence en raison de l'augmentation du volume de données liées à cette activité. D'une part, les besoins psychologiques des utilisateurs portent sur la simplification de l’utilisation des applications analytiques, ils font l’objet de plus en plus d’attention ; d'autre part, les tâches qu'ils sont prêts à mener deviennent de plus en plus complexes ce qui peut entraîner une surcharge de mémoire qui influe sur les performances dans leur réalisation. Pour garantir la prise en compte de ces deux aspects, les designers doivent concevoir des interfaces et fournir des informations appropriées qui répondent à la fois aux besoins des utilisateurs et aux nécessités de leur activité. Dans cette recherche, nous nous sommes intéressés à l'amélioration de la reprise de la tâche suite à une suspension ou à une interruption de celle-ci dans le cadre de l’analyse visuelle de données. La nature multitâche des actions des utilisateurs et les capacités limitées de stockage de la mémoire de travail humaine entraînent des difficultés à s’engager de nouveau dans une tâche qui a été interrompue ou suspendue. Il devient donc avantageux de disposer d'un outil de suppléance de la mémoire qui aide les utilisateurs à se remettre à leur tâche dans des conditions optimales.Une revue de la littérature nous a conduit tout d'abord au positionnement de notre recherche vis à vis de l'approche énactive et de la perception sensorimotrice qui considèrent l'outil comme un artefact configurant l'interaction entre l'utilisateur et la tâche, selon deux états, saisi ou déposé. De ce point de vue, nous avons constaté que le modèle de mémoire cognitiviste utilisé couramment ne considère pas le rôle de l’interaction avec le monde extérieur dans la construction de la mémoire, et par conséquent ignore la dimension saisie des supports et outils dans la construction d’une mémoire. Par conséquent, nous proposons de compléter ce modèle avec un modèle de mémoire incarnée, qui ouvre une nouvelle perspective permettant de concevoir un outil de suppléance mémorielle approprié. Enfin, les principes de conception d’IHM et d’UX nous aident à construire une proposition d’outil et à mener un plan d'expérience mettant en avant le lien entre les modifications des conditions de perception et les modifications de la dynamique d’interaction. En conclusion de cette partie, la problématique générale est introduite avec l’exploration, la mise en œuvre et l’évaluation de la proposition. La première expérience, le test pilote, analyse la perception que peuvent avoir des concepteurs naviguant sur des applications interactives. Cette étude nous a aidé à construire un vocabulaire d'évaluation en conception d’un support de suppléance de la mémoire et nous a guidé pour concevoir un processus expérimental en tenant compte de ces critères. Dans une seconde expérience, nous développons un outil basé sur une fonction que nous appelons le "history path". Cet outil permet d’afficher à l’utilisateur, dans une fenêtre spécifique de l’interface, certaines étapes de résolution d’une tâche antérieure effectuée par ce même utilisateur (ou pour simuler une interruption de tâche). Nous avons mis en place une expérience simple (minimaliste) simulant une résolution de problème qui a été enregistrée pour évaluer dans quelle mesure le history path peut aider l'utilisateur à récupérer efficacement une tâche interrompue. La première partie de cette expérience nous permet de confirmer l’utilité potentielle de cette fonction et nous aide à explorer l’espace de conception. Dans la deuxième partie, nous expérimentons deux outils différents basés sur deux représentations de l’history path, une représentation statique et l’autre dynamique. Les résultats de l'évaluation nous amènent à comprendre les conditions techniques d'une expérience positive pour laquelle la reprise de tâche est facilitée<br>This thesis was initiated in the context of enhancing the user experience for analyzing data due to the increase of the volume of data related to this activity. On the one hand, users’ psychological needs for the simple use of analytic applications are paid more attention than before; on the other hand, the task they are willing to conduct is getting more and more complicated, which may cause memory overload that influences the task performance. To ensure that both aspects are taken into account, the designers should provide a proper information and design a proper interface that meets both users’ needs and the requirements of their activity. In this research, we are interested in improving the task recommitment following a task suspension or interruption in the context of a visual data analysis task. The multitasking nature of user actions and limited storage capacity of human working memory cause difficulties in re-engaging an interrupted or suspended task. Therefore, it is beneficial to have a memory supplementation tool that supports users to recommit their task in optimal conditions. A literature review first leads to the positioning of our research on the enactive approach and sensorimotor perception that consider the tool as an artifact configuring the interaction between the user and the task, in two modes the “put down” mode and the “in hand” mode. From this point of view, we have found that the commonly used cognitive memory model ignores the role of interaction with the external world in the formation of the memory, and consequently ignores the “in hand” dimension of the artifacts in one memory construction. Therefore, we complete this model with the embodied memory, which gives us a new perspective to design an appropriate memory tool that serves as a supplementation of our perceptual system. Finally, the design principles in human-computer interaction and UX helped us build a tool and conduct an experimental plan highlighting the link between changes in perception conditions and changes in the dynamics of interaction. As a conclusion, the research problem is introduced in terms of how we can provide users with a relevant context to recommit to resolving a task after interruption. The design proposal needs to be explored, designed and evaluated. The first experiment, the exploratory study, analyzes the perception of interactive applications by experienced designers. This study helped us construct a vocabulary of evaluation of the design for a memory supplementation support and guided us for the design considering these criteria. In the second experiment, we develop a tool based on a function that we call the “history path”, which permits to show, in a specific window of the user interface, some of the steps of a previous task resolution that a user has performed during previous experience (or to simulate a resolution task interruption). We set up a simple (minimalist) experiment simulating a problem-solving task, which was recorded to evaluate the extent to which a history path support can help the user for efficient recovering of an interrupted task. The first part of this experiment allows us to confirm the potential use of this function and helps us explore the design space. In the second part, we experiment two different tools, based on two history path representations, a static one and a dynamic one. The evaluation results allow us to understand the technical conditions of a positive experience for which task recovery is facilitated. In this second experiment, several means for recording the user experience were mobilized: the evaluation of the durations and gaze frequencies on area of interest in the interface window by eye tracking, the recording of the verbalizations during the RTA (Retrospective Think Aloud) session, and the semantic evaluation
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Taplin, Kimberley. "Service user experiences of the sequential diagrammatic reformulation (SDR) in cognitive analytical therapy (CAT) : an interpretative phenomenological analysis." Thesis, University of Liverpool, 2015. http://livrepository.liverpool.ac.uk/2031479/.
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This thesis is organised into two chapters: a systematic review; an empirical research paper; and relevant appendices. Each chapter is presented as a standalone component adding to current gaps in the literature. Chapter 1 presents a systematic literature review of all current research aiming to understand service-users’ views of psychological formulation. A total of 297 studies were initially retrieved. 11 papers were included in the final review. A narrative synthesis of their findings is presented. The literature suggests several common themes include: responses to formulation; biopsychosocial understanding; practicable and tangible; collaboration; therapeutic relationship; process; communication; change and diagnostic symptoms. Clinical implications, gaps in knowledge and the need for further research are discussed. Chapter 2 extends the research discussed in the systematic review with a qualitative empirical paper exploring service-users experiences of the SDR. Interpretative Phenomenological Analysis (IPA) was used to explore/analyse the data. Four superordinate themes emerged from the data: ‘Chaos to clarity (a process of meaning making)’; ‘The change process’; ‘Relational dynamics’; and ‘Focus on treatment context/options’. Findings are consistent with, and extend, the current literature on CAT and formulation. Strengths and weaknesses of this research, future research ideas and clinical implications at an individual therapy and service/organisational level are discussed.
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Ahmad, Sheikh Sleiman Shirin. "Aueis en ny UX-utvärderingsmetod för engagemang vid interaktion med sociala robotar." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-19836.
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UX-designperspektivet är väsentlig vid utvärdering av interaktion med alla typer av robotar, men särskilt sociala robotar. Då dessa utvecklas för att utföra viktiga uppgifter i samhället såsom att vara sällskapsrobotar inom äldrevården, skolor med mera. User Experience Design-området har en bred samling av utvärderingsmetoder som människa-robotinteraktion-området kan dra nytta av. Denna studie syftar till att förbättra upplevelse vid interaktion med en social robot. För detta syfte har bland annat litteraturstudier genomförts där identifierades UX-aspekter som är relevanta att fokusera på vid utvärdering av förutsättningarna för engagemang i interaktionen mellan människa och social robot samt att det identifierades en kunskapslucka av tillgängliga analytiska utvärderingsmetoder inom människa-robotinteraktion (MRI). För att ta fram en ny analytisk utvärderingsmetod för att främja engagemang med en social robot användes en metodansats som är etablerad för att utveckla just utvärderingsmetoder. Designprocessen av den nya metoden bestod av fem iterativa faser som resulterade Analytisk utvärderingsmetod av engagemang vid interaktion med social sällskapsrobotar (AUEIS). AEUIS är designad för att utvärdera förutsättningarna för att uppnå engagemang vid interaktion med en social robot. Stort fokus lades på den femte fasen där versioner av AUEIS testades av flera UX-designers utifrån kriterierna att AUEIS ska ha hög validitet, vara användbar och ha bra lärbarhet. Testningen genomfördes med fyra UX-designer med olika erfarenheter inom MRI. Resultatet av testningen visade att en UX-designer utan tidigare erfarenhet av att utvärdera MRI kan använda AUEIS utan större problematik. Samtidigt, de framtagna aspekterna för att genomföra utvärderingen med var omfattande för att identifiera problem vid interaktion med en social robot. Det slutliga resultatet av detta är arbete är en komplett analytisk utvärderingsmetod. AUEIS består av sju aspekter som studerar föreutsättningarna för engagemang med en social robot. För att genomföra utvärdering med AUEIS finns det tre faser: Förberedelse, utvärdering och analys. Varje fas har några aktiviteter som följas för att få fram ett resultat om förutsättningarna av engagemang vid interaktionen med en social robot. Resultatet av utvärderingen med AUEIS kommer att bestå av kvalitativa och kvantitativa data. Den kvalitativa data som resulteras kan analyseras för att få en lista med vilka aspekter av engagemang som ej uppfylls av den sociala roboten. Den kvantitativa data kan ge en snabb överblick över vilka aspekter som har flest problem och vilka problem är mest allvarliga. AUEIS utvärderar förutsättningar för engagemang vid interaktion med en social robot och är begränsad till detta på grund av att den utvärderar om den sociala roboten uppfyller de förutsättningarna för engagemang. Därför användarensupplevelse av engagemang utvärderas enbart på ett mindre sätt utifrån hur mycket den sociala roboten uppfyller de förutsättningarna för engagemang. En framtida forskning och utveckling av AUEIS hade varit intressant och behövs för att AEUIS ska kunna utvärdera om användaren är engagerad och i vilken omfattning är hen engagerad. En annan aspekt som kan studeras är användarens engagemang under lång tidsinteraktion, korttidsinteraktion eller olika faser av engagemang. Exempelvis hur utvärderas att användaren påbörjar engagemang med en social robot och hur ska det utvärderas att engagemanget hålls och fortsätter eller om den avbryter och varför utifrån användarensperspektiv. I kapitel 5 (Slutresultat AUEIS-metoden) presenteras metoden samt detaljerade instruktioner över genomförandet presenters i Bilaga 7.<br>The user experience design (UX) perspective is essential when evaluating interaction with all types of robots, but especially social robots. As these are developed to perform important tasks in society such as being companion robots in geriatric care, schools and more. The User Experience Design area has a wide collection of evaluation methods that the human-robot interaction area can benefit from. This study aims to improve the experience of interacting with a social robot. For this purpose, literature studies have been conducted where UX aspects were identified that are relevant to focus on when evaluating the conditions for engagement in the interaction between human and social robot. A knowledge gap was identified of limited available analytical evaluation methods in human-robot interaction (HRI). In order to develop a new analytical evaluation method to promote engagement with a social robot, a methodological approach was used to develop evaluation methods. The design process of the new method consisted of five iterative phases that resulted in an Analytical evaluation method of engagement in interaction with social companion robots (AUEIS). AEUIS is designed to evaluate the conditions for achieving engagement when interacting with a social robot. Great focus was placed on the fifth phase where versions of AUEIS were tested by several UX designers based on the criteria that AUEIS should have high validity, be useful and have good learnability. The testing was performed with four UX designers with different experiences in HRI. The results of the testing showed that a UX designer without previous experience in evaluating HRI can use AUEIS without problems. At the same time, the aspects developed to carry out the evaluation were comprehensive to identify problems when interacting with a social robot. The result of this is work is a complete analytical evaluation method. AUEIS consists of seven aspects that study the conditions for engagement with a social robot. To evaluate with AUEIS, there are three phases: Preparation, evaluation, and analysis. Each phase has some activities that are followed to obtain a result about the conditions of engagement in the interaction with a social robot. The result of the evaluation with AUEIS will consist of qualitative and quantitative data. The qualitative data that is obtained can be analyzed to get a list of which aspects of engagement are not fulfilled by the social robot. The quantitative data can provide a quick overview of which aspects have the most problems and which problems are most serious. AUEIS evaluates the conditions for engagement when interacting with a social robot and is limited to this because it evaluates whether the social robot meets those conditions for engagement. Therefore, the user experience of engagement is evaluated only in a minor way based on how much the social robot meets the conditions for engagement. Future research and development of AUEIS would have been interesting and needed for AEUIS to be able to evaluate whether the user is engaged and to what extent is. Another interesting aspect to study can be the user experience of engagement whether it is during long-term interaction, short-term interaction, or different phases of an engagement. For example, how to evaluate that the user begins engagement with a social robot and how should it be evaluated that the engagement is maintained and continues or if it interrupts and why from a user perspective? Chapter 5 (End result the AUEIS method) presents the method and detailed instructions on implementation are presented in Appendix 7.
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Hsu, Hsiang-Hua, and 徐祥華. "Improving the User Experience of Student Micro Loan Service through Web Analytics." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/ew79bh.
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Ribeiro, João Pedro de Almeida. "The use of web analytics on a small data set in an online media company : shifter´s case study." Master's thesis, 2017. http://hdl.handle.net/10362/19907.
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Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence<br>The primary struggle in data analysis is the lack of talent in performing relevant and fit-to-business analyzes that retrieve knowledge and provides concise and clear action plans to today’s startups and small enterprises that exist online. Tracking, knowing and understanding the navigational patterns of user behavior for a 3 month period collection and using an Excel spreadsheet tool obtained a context for each piece of content produced and published by Shifter, an online media company. Investigations made after acquiring Shifter’s data resulted in recommendations for rethink and redesign the editorial content of the business to answer different community’s needs.
Books on the topic "User Experience Analytics"
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Zelenkov, Mihail. Social conflicts of our time. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1090580.
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Based on the theoretical and practical experience of resolving modern social conflicts, the textbook examines the issues and problems of the origin, course and resolution of contradictions between the subjects of social relations. The article highlights the provisions of fundamental theories of the emergence of social conflicts, the results of the analysis of practical activities to resolve them, as well as the experience of previously prepared educational publications on this issue. Meets the requirements of the Federal state educational standards of higher education of the latest generation. It is addressed to teachers, students, undergraduates, postgraduates and doctoral students of higher educational institutions, and can also be used by practitioners in the field of information Analytics.
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Ulanov, Vladimir. Economic development and economic growth at the corporate level. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/2049707.
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The issues of economic development are considered on the example of Russian companies, attention is paid to criteria and indicators of economic development and growth, issues of investment attractiveness, the use of various management technologies in business processes, assessment of the impact of industry factors, etc. Analytical tasks are given on certain topics. During the preparation of the textbook, the author's work experience in the companies Lukoil, Norilsk Nickel, RUSAL, etc. was used.
 It complies with the federal state educational standards of higher education of the latest generation.
 For students of higher educational institutions studying in the fields of Economics and Management.
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Zelenkov, Mihail, Aleksandr Skalepov, and Aleksandr Chaevich. The fundamental foundations of social conflict. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1837051.
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The textbook highlights the provisions of fundamental theories of social conflict, the results of the analysis of practical activities for its prevention and settlement, as well as the experience of previously prepared educational publications on this issue. The main directions, paradigms, concepts of the theory and practice of social conflict, their projections on the content of modern social relations are shown.
 The methodology of constructing the material of the educational publication is based on the use of a retrospective approach, which allowed us to outline the fundamental foundations of social conflict from a historical point of view and in the development of its characteristics over time. In addition, the principles of the well-known domestic theorist and practice of pedagogy V.F. Shatalov are applied, in particular, the repeated repetition of basic provisions, which ensures more effective memorization with less concentration of the student's attention.
 Meets the requirements of the federal state educational standards of higher education of the latest generation.
 It is addressed to teachers, students, undergraduates, postgraduates and doctoral students of higher educational institutions, and can also be used by practitioners in the field of information analytics and mediation.
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Belyaevskaya-Plotnik, Lyubov', Ol'ga Kozhevina, Antonina Ryahovskaya, Lidiya Zelencova, and Inna Sannikova. Ensuring the economic security of territories and tools for the sustainable development of "green" entrepreneurship. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1902182.
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The monograph comprehensively examines the issues of ensuring economic security through the expansion of environmentally oriented entrepreneurship in the subjects of the Russian Federation. The world experience of integrating the concept of sustainable development and sustainable development goals into entrepreneurial activity is considered. The most significant factors for the integration of sustainable development goals into the business model of "green" entrepreneurship are identified. New analytical tools are proposed that are advisable to use in assessing the threats and risks of "green" entrepreneurship, which have been tested on the example of a number of Russian regions.
 It is recommended to specialists in the field of state and regional management of sustainable development and "green" entrepreneurship, strategic management and economic security, as well as researchers, graduate students, undergraduates.
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Kiras, James D. Special Operations Success. Oxford University Press, 2024. https://doi.org/10.1093/9780198902096.001.0001.
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Abstract James D. Kiras establishes a new benchmark in military theory in this deeply analytic and innovative work. In it, he answers several pressing questions: how successful have American special operations been over the past quarter-century? Are special forces fated to cycles of expansion and misuse? Will special forces invariably exceed the authorities granted to them because of who they are and what they do? Is a general theory of special operations feasible given the range of activities and conditions that fall under the category? The book is based on two decades of practical experiences, teaching, and consulting experience within different special operations communities. Its analysis and conclusions are designed to inform practitioners, policy makers, educators, and the general public. It develops a framework, in the form of a theory comprising capabilities and control, for comprehensively evaluating special operations success. It contains more than twenty figures, maps, and illustrations to aid in the process. The book is divided into three parts. Part I lays the foundation for a general theory of special operations by looking at previous waves of scholarship, as well as historical special operations precedents stretching back into ancient history. Part II explores the two component parts of theory, capabilities and control, and expands our understanding of the former as well as the civil-military conceptualizations of the latter. Each become the basis for a triad that, when merged and animated by elements of strategy, form a dynamic theory and framework to evaluate special operations success. Part III uses various aspects of the theory, depending on available information, to assess the success of special operations over a twenty-year period in the United Kingdom, South Africa, and the United States.
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Practical Web Analytics for User Experience. Elsevier, 2013. http://dx.doi.org/10.1016/c2012-0-01162-3.
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Beasley, Michael. Practical Web Analytics for User Experience: How Analytics Can Help You Understand Your Users. Elsevier Science & Technology Books, 2013.
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Practical Web Analytics For User Experience How Analytics Can Help You Understand Your Users. Elsevier Science & Technology, 2013.
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Improving the User Experience Through Practical Data Analytics. Elsevier, 2015. http://dx.doi.org/10.1016/c2013-0-18588-1.
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Wissink, Travis. Unleashing the Power of UX Analytics: Proven Techniques and Strategies for Uncovering User Insights to Deliver a Delightful User Experience. Packt Publishing, Limited, 2023.
Find full textBook chapters on the topic "User Experience Analytics"
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Shah, Prachet, Ojas Karmarkar, Daksh Dholakia, and Kriti Srivastava. "Safarnaama: User Experience-Based Travel Recommendation System." In Data Management, Analytics and Innovation. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3242-5_18.
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Bockermann, Christian. "A Visual Programming Approach to Big Data Analytics." In Design, User Experience, and Usability. User Experience Design for Diverse Interaction Platforms and Environments. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07626-3_36.
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Al-Salhie, Layla, Mona Al-Zuhair, and Areej Al-Wabil. "Multimedia Surveillance in Event Detection: Crowd Analytics in Hajj." In Design, User Experience, and Usability. User Experience Design for Diverse Interaction Platforms and Environments. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07626-3_35.
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Aciar, Silvana, and Gabriela Aciar. "Analyzing User Experience Through Web Opinion Mining." In Social Computing and Social Media. Applications and Analytics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58562-8_16.
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Bala, Paulo, Valentina Nisi, and Nuno Nunes. "Evaluating User Experience in 360º Storytelling Through Analytics." In Interactive Storytelling. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71027-3_23.
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Eggert, Linda, Yingjie Fan, and Stefan Voß. "Data-Intensive Analytics for Cat Bonds by Considering Supply Chain Risks." In Design, User Experience, and Usability: Technological Contexts. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40406-6_13.
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Palomino, Fryda, Freddy Paz, and Arturo Moquillaza. "Web Analytics for User Experience: A Systematic Literature Review." In Design, User Experience, and Usability: UX Research and Design. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78221-4_21.
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Ji, Dan. "Smart Phone User Experience for the Elderly Based on Public Platform." In Cyber Security Intelligence and Analytics. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-31775-0_32.
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Huang, Xiudan, and Yecheng Yu. "Optimizing Cross Border E-commerce User Experience Through Machine Learning." In Learning and Analytics in Intelligent Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70598-4_31.
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Kumaresh, Sakthi, Riya Haran, and Michelle Maria Jarret. "Analytics of e-Commerce Platforms Based on User-Experience (UX)." In Intelligent Computing and Innovation on Data Science. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3153-5_34.
Full textConference papers on the topic "User Experience Analytics"
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S, Poornima, A. Krishnaveni, J. Relin Francis Raj, R. Divya, G. Vinoth Rajkumar, and I. Sakthidevi. "Personalised Travel Ratings using AI and Enhancing User Experience Through Multi-Dimensional Analytics." In 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL). IEEE, 2025. https://doi.org/10.1109/icsadl65848.2025.10933152.
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R M, Dilip Charaan, Leena Jenefa, B. R. Sumanth, A. Lakshmi Bhagiradhi, Yerramsetty Harini, and Maheshwaran M. "Empowering and Enhancing User Experience in Web Application for Public Schemes." In 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). IEEE, 2024. http://dx.doi.org/10.1109/i-smac61858.2024.10714716.
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Nandy, Manish, and Dhablia Dharmesh Kirit. "Big Data-Driven Customer Experience in E-Commerce: Personalizing User Journeys with Advanced Analytics." In 2025 International Conference on Automation and Computation (AUTOCOM). IEEE, 2025. https://doi.org/10.1109/autocom64127.2025.10957405.
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Yasmin, Shamima, and Chowdhury Qaizar Jamal. "Audio-Visual Analytics of Geoscientific Data with Timbral Variations and Immersive Interactions." In ICAD 2024: The 29th International Conference on Auditory Display. International Community for Auditory Display, 2024. http://dx.doi.org/10.21785/icad2024.005.
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This research investigated audio-visual analytics of geoscientific data in virtual reality (VR)-enhanced implementation, where users interacted with the dataset with a VR controller and a haptic device. Each interface allowed users to explore rock minerals in unimodal and multimodal virtual environments (VE). In the unimodal version, color variations demonstrated differences in minerals. As users navigated the data using different interfaces, visualization options could be switched between the original geographical topology and its color-coded version, signifying underlying minerals. During the multimodal navigation of the dataset, in addition to the visual feedback, an auditory display was performed by playing a musical tone in different timbres. For example, ten underlying minerals in the sample were explored. Among them, anorthite was represented by nylon guitar, the grand piano was used for albite, and so on. Initial findings showed that users preferred the audio-visual exploration of geoscientific data over the visual-only version. Virtual touch enhanced the user experience while interacting with the data.
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Sharma, P., A. Meshaikhis, C. Ennaceur, et al. "CUI Monitoring for Cold Duty Insulation, Evaluation and Use Cases." In MECC 2023. AMPP, 2023. https://doi.org/10.5006/mecc2023-20256.
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Abstract Predictive Corrosion Management have a lot of attractive use cases including Corrosion Under Insulation (CUI) enabled by monitoring and Artificial Intelligence (AI). This paper describes the deployment and evaluation of remote monitoring solution with application in corrosion under insulation management especially for cold duty insulation with intermittent service. A remote Monitoring system using Electro-Magnetic Guided Radar (EMGR) is described in this paper that uses advanced analytics for predictions. This technology involves use of sensors embedded in the insulation and a data logger transmits data wirelessly to a central server. Risk analysis and localization for CUI risk severity are then automatically performed with advanced analytics and accessed by the end user to help optimize CUI inspection plan. This provides important data for corrosion engineers to plan, schedule and target their efforts. This presentation will describe the evaluation and experience of deployment of CUI monitoring in an oil and gas plant. The lessons learnt from field use cases will be presented. The new method of using sensing and Industrial Internet of Things (IOT) to detect and predict corrosion in the field will be a huge impact for the asset integrity industry struggling with the threat of hidden corrosion such as CUI.
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Machemer, Lee, Otakar Jonas, and Barry Dooley. "Steam Cycle Chemistry Advisor." In CORROSION 2004. NACE International, 2004. https://doi.org/10.5006/c2004-04060.
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Abstract This paper reviews experience with installation and use of a cycle chemistry expert system. To help power plant operators and chemists to control cycle chemistry and corrosion, the expert system was developed based on industry guidelines and experience. This software uses inputs from plant analytical and other instrumentation and grab sample analyses to determine current water chemistry and corrosion problems and recommend corrective actions. It also verifies the chemical analytical data, automatically produces reports, and provides cycle and water treatment descriptions. Using this program, the status of the cycle chemistry for multiple units can be monitored simultaneously through the utility's computer network. The plant customized Simulators allow operators and chemists to be trained in water chemistry control and problem recognition for their specific power plant. This program currently covers drum and once-through boiler units with and without condensate polishers, using acid and alkali-forming cooling water, all-ferrous and mixed metallurgy, and phosphate, equilibrium phosphate, sodium hydroxide, AVT, and oxygenated treatments. The experiences with installation of this software at five locations is summarized and, based on this experience, recommendations for future work are presented.
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Soong, Ken, Xin Fu, and Yang Zhou. "Optimizing New User Experience in Online Services." In 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA). IEEE, 2018. http://dx.doi.org/10.1109/dsaa.2018.00057.
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Anthony, Poonam, Kushagra Aggarwal, and Plaban Kumar Bhowmick. "Architecture for User Experience Tracking and Analytics in National Digital Library (NDL)." In 2016 IEEE Eighth International Conference on Technology for Education (T4E). IEEE, 2016. http://dx.doi.org/10.1109/t4e.2016.044.
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Becerra, ÁLvaro, Roberto Daza, Ruth Cobos, Aythami Morales, and Julian Fierrez. "User Experience Study using a System for Generating MultiModal Learning Analytics Dashboards." In Interaccion 2023: XXIII International Conference on Human-Computer Interaction. ACM, 2023. http://dx.doi.org/10.1145/3612783.3612813.
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Sahoo, Priyabrata, Sudhanshu Rawat, Vipin Garg, et al. "Application of AI/ML Based Image Analytics in Auto Component Fracture Analysis." In WCX SAE World Congress Experience. SAE International, 2025. https://doi.org/10.4271/2025-01-8228.
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<div class="section abstract"><div class="htmlview paragraph">This paper introduces an innovative digital solution for the categorization and analysis of fractures in Auto components, leveraging Artificial Intelligence and Machine Learning (AI/ML) technologies. The proposed system automates the fracture analysis process, enhancing speed, reliability, and accessibility for users with varying levels of expertise.</div><div class="htmlview paragraph">The platform enables users to upload images of fractured parts, which are then processed by an AI/ML engine. The engine employs an image classification model to identify the type of fracture and a segmentation model to detect and analyze the direction of the fracture. The segmentation model accurately predicts cracks in the images, providing detailed insights into the direction and progression of the fractures.</div><div class="htmlview paragraph">Additionally, the solution offers an intuitive interface for stakeholders to review past analyses and upload new images for examination. The AI/ML engine further examines the origin of the fracture, its progression pattern, and the structures formed during the fracture’s development. The results are stored as attributes within the system, facilitating easy review and future analysis.</div><div class="htmlview paragraph">A notable feature of the system is its possibility to learn from user feedback. If the model provides an incorrect failure recommendation, users can correct it. These corrections can be used to retrain the model, improving its accuracy over time. This feedback loop will ensure that the system continually evolves and adapts to new data, enhancing its reliability and performance.</div><div class="htmlview paragraph">This innovative approach not only streamlines the fracture analysis process but also ensures that the insights gained are comprehensive and easily accessible. By integrating advanced AI/ML techniques, the solution represents a significant advancement in the field of fracture analysis, offering a robust tool for both novice and experienced users. The system’s adaptability and user-friendly interface make it an asset for improving the accuracy and efficiency of fracture analysis subsequently deskilling the judgement process for failures in Auto Components.</div></div>
Reports on the topic "User Experience Analytics"
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bin Ahsan, Wahid. The EDIT UX Framework: A User-Centered Approach to Effective Product Redesign. Userhub, 2024. http://dx.doi.org/10.58947/zxkd-kldq.
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In the dynamic domain of web and mobile application development, the imperative to continuously evolve and enhance user experience is paramount. The EDIT UX Framework offers a robust, systematic approach to redesign, aimed at significantly enhancing user engagement, accessibility, and business performance. This framework is delineated into four pivotal stages: (1) Evaluation, which establishes a solid analytical foundation by synthesizing metrics analysis, heuristic evaluations, accessibility assessments, and user insights; (2) Design, where ideation and prototyping are driven by user-centric insights, fostering innovative solutions; (3) Iteration, a phase dedicated to refining designs through iterative user feedback and rigorous testing, with an unwavering focus on inclusivity and accessibility; and (4) Transformation, which transitions the refined product into the market, emphasizing continuous evaluation and iterative enhancements post-launch. By integrating principles of user-centered design, data-driven decision-making, and comprehensive accessibility, the EDIT UX Framework empowers design teams to create digital experiences that not only meet but exceed user expectations, ensuring a product's resilience and adaptability in an ever-evolving digital landscape.
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Barladym, Valentyna, A. V. Bruiaka, M. A. Bugaienko, et al. The Use of AI Tools and Services for the Professional Development of Teaching Staff. Institute for Digitalisation of Education of the NAES of Ukraіne, 2024. https://doi.org/10.33407/lib.naes.id/eprint/744000.
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The preprint (analytical materials) examines the process of using generative artificial intelligence in education; clarifies the role of artificial intelligence in the professional development of teaching staff; explores the pedagogical design of variable models of computer-oriented methodological systems for inquiry-based learning of natural and mathematical sciences using AI technologies; identifies the role of AI tools in the training of teaching staff; describes training in WebAR development with integrated machine learning: immersion methodology and intelligent educational experience; provides recommendations for using Microsoft Copilot Chat in teacher training; investigates the issue of using AI in the preparation of education science specialists; presents the experience of implementing AI in teaching the discipline “Information and Communication Technologies for Teaching, Management, and Support of Scientific and Educational Research”; and characterizes the ethical aspects of using AI in education. The preprint (analytical materials) can be used in the professional development of teaching staff by teachers, lecturers, postgraduate students, doctoral candidates, and researchers interested in the implementation of AI tools and services in education.
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Silver, Christina. Harnessing ATLAS.ti for Qualitative and Mixed-Methods Analysis. Instats Inc., 2023. http://dx.doi.org/10.61700/lm8w5wslhgnlw469.
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This seminar introduces you to harnessing ATLAS.ti to accomplish qualitative and mixed-methods analysis. The seminar follows the principles of ensuring analytic strategies drive the use of software tools as described in the CAQDAS pedagogy, the Five-Level QDA method, providing both theoretical understandings of the role of ATLAS.ti in the analysis process, and practical experience with operating the software to accomplish a variety of analytic tasks. You will be guided through the typical phases of an analysis and how they can be facilitated through the creative and systematic use of ATLAS.ti. An official Instats certificate of completion and 2 ECTS Equivalent points are provided at the conclusion of the seminar.
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Silver, Christina. Harnessing ATLAS.ti for Qualitative and Mixed-Methods Analysis. Instats Inc., 2023. http://dx.doi.org/10.61700/z7sfcolujttp7469.
Full textAbstract:
This seminar introduces you to harnessing ATLAS.ti to accomplish qualitative and mixed-methods analysis. The seminar follows the principles of ensuring analytic strategies drive the use of software tools as described in the CAQDAS pedagogy, the Five-Level QDA method, providing both theoretical understandings of the role of ATLAS.ti in the analysis process, and practical experience with operating the software to accomplish a variety of analytic tasks. You will be guided through the typical phases of an analysis and how they can be facilitated through the creative and systematic use of ATLAS.ti. An official Instats certificate of completion and 1 ECTS Equivalent point are provided at the conclusion of the seminar.
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Silver, Christina. Harnessing NVivo for Qualitative and Mixed-Methods Research. Instats Inc., 2023. http://dx.doi.org/10.61700/nt0r494153uop469.
Full textAbstract:
This seminar introduces you to harnessing NVivo to accomplish qualitative and mixed-methods analysis. The seminar follows the principles of ensuring analytic strategies drive the use of software tools as described in the CAQDAS pedagogy, the Five-Level QDA method, providing both theoretical understandings of the role of software like NVivo in the analysis process, and practical experience with operating NVivo to accomplish a variety of analytic tasks. You will be guided through the typical phases of an analysis and how they can be facilitated through the creative and systematic use of NVivo. An official Instats certificate of completion is provided and 2 ECTS Equivalent points are offered for European PhD students.
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Silver, Christina. Harnessing NVivo for Qualitative and Mixed-Methods Research. Instats Inc., 2023. http://dx.doi.org/10.61700/enle68kuhidm8469.
Full textAbstract:
This 12-part seminar introduces you to harnessing NVivo to accomplish qualitative and mixed-methods analysis. The seminar follows the principles of ensuring analytic strategies drive the use of software tools as described in the CAQDAS pedagogy, the Five-Level QDA method, providing both theoretical understandings of the role of software like NVivo in the analysis process, and practical experience with operating NVivo to accomplish a variety of analytic tasks. You will be guided through the typical phases of an analysis and how they can be facilitated through the creative and systematic use of NVivo. An official Instats certificate of completion is provided and 2 ECTS Equivalent points are offered for European PhD students.
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Panchenko, Liubov F., and Ivan O. Muzyka. Analytical review of augmented reality MOOCs. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3750.
Full textAbstract:
The aim of the article is to provide an analytical review of the content of massive open online courses about augmented reality and its use in education with the further intent to create a special course for the professional development system for the research and teaching personnel in postgraduate education. The object of research is massive open online courses. The subject of the study is the structure and content of augmented reality MOOCs which are offered by acclaimed providers of the world. The methods of research are: the analysis of publications on the problem; the analysis of MOOCs’ content, including observation; systematization and generalization of research information in order to design a special course about augmented reality for the system of professional training and retraining for educators in postgraduate education. The results of the research are the following: the content and program of specialized course “Augmented Reality as a Storytelling Tool” for the professional development of teachers. The purpose of the specialized course is to consider and discuss the possibilities of augmented reality as a new direction in the development of educational resources, to identify its benefits and constraints, as well as its components and the most appropriate tools for educators, to discuss the problems of teacher and student co-creation on the basis of the use of augmented reality, and to provide students with personal experience in designing their own stories and methodical tools in the form of augmented books and supplementary training aids with the help of modern digital services.
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Starkov, Dmitriy. Theory and Algorithm for solving inventive tasks and their modern interpretation in the local innovation process of forming a smart home infrastructure on the scale of a start-up company. Intellectual Archive, 2022. http://dx.doi.org/10.32370/iaj.2627.
Full textAbstract:
The theory of inventive problem solving and the Algorithm of inventive problem solving are the most important complex analytical professional engineering tools for the development of projects of any degree of complexity in the innovation process. For the successful and effective use of these tools, it is necessary, in addition to comprehensive and in-depth engineering knowledge and skills, to have skills and positive experience in the creative adaptation of the laws and postulates of theory and algorithm in the real innovation process
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Silver, Christina. Harnessing MAXQDA for Qualitative and Mixed-Methods Data Analysis. Instats Inc., 2023. http://dx.doi.org/10.61700/qyq6s5podq5l8469.
Full textAbstract:
This seminar introduces you to harnessing MAXQDA to accomplish qualitative and mixed-methods analysis. Led by Christina Silver, an expert in the field, the seminar illustrates the use of software tools as described in the CAQDAS pedagogy, the Five-Level QDA method, providing a theoretical understanding of the role of MAXQDA in the analysis process, and practical experience of using it to accomplish a variety of analytic tasks. You will be guided through the typical phases of an analysis and how they can be facilitated through the creative and systematic use of MAXQDA. At the conclusion of the seminar an official Instats certificate of completion is provided along with 1 ECTS Equivalent point.
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Silver, Christina. Harnessing MAXQDA for Qualitative and Mixed-Methods Data Analysis. Instats Inc., 2023. http://dx.doi.org/10.61700/bhqnnd3huzcaz469.
Full textAbstract:
This seminar introduces you to harnessing MAXQDA to accomplish qualitative and mixed-methods analysis. Led by Christina Silver, an expert in the field, the seminar illustrates the use of software tools as described in the CAQDAS pedagogy, the Five-Level QDA method, providing a theoretical understanding of the role of MAXQDA in the analysis process, and practical experience of using it to accomplish a variety of analytic tasks. You will be guided through the typical phases of an analysis and how they can be facilitated through the creative and systematic use of MAXQDA. At the conclusion of the seminar an official Instats certificate of completion is provided along with 1 ECTS Equivalent point.