Relevant bibliographies by topics / Personalized User Interface

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Personalized User Interface'

Author: Grafiati
Published: 7 June 2025
Last updated: 9 July 2025

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Journal articles on the topic "Personalized User Interface"

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NA, Qianwen, and Hisaya TANAKA. "Personalized SSVEP-BCI Text Spelling User Interface." International Symposium on Affective Science and Engineering ISASE2024 (2024): 1–4. http://dx.doi.org/10.5057/isase.2024-c000003.

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Jiming Liu, Chi Kuen Wong, and Ka Keung Hui. "An adaptive user interface based on personalized learning." IEEE Intelligent Systems 18, no. 2 (2003): 52–57. http://dx.doi.org/10.1109/mis.2003.1193657.

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Wasilewski, Adam. "Functional Framework for Multivariant E-Commerce User Interfaces." Journal of Theoretical and Applied Electronic Commerce Research 19, no. 1 (2024): 412–30. http://dx.doi.org/10.3390/jtaer19010022.

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Modern e-businesses heavily rely on advanced data analytics for product recommendations. However, there are still untapped opportunities to enhance user interfaces. Currently, online stores offer a single-page version to all customers, overlooking individual characteristics. This paper aims to identify the essential components and present a framework for enabling multiple e-commerce user interfaces. It also seeks to address challenges associated with personalized e-commerce user interfaces. The methodology includes detailing the framework for serving diverse e-commerce user interfaces and presenting pilot implementation results. Key components, particularly the role of algorithms in personalizing the user experience, are outlined. The results demonstrate promising outcomes for the implementation of the pilot solution, which caters to various e-commerce user interfaces. User characteristics support multivariant websites, with algorithms facilitating continuous learning. Newly proposed metrics effectively measure changes in user behavior resulting from different interface deployments. This paper underscores the central role of personalized e-commerce user interfaces in optimizing online store efficiency. The framework, supported by machine learning algorithms, showcases the feasibility and benefits of different page versions. The identified components, challenges, and proposed metrics contribute to a comprehensive solution and set the stage for further development of personalized e-commerce interfaces.
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Tagirova, L. F., and N. G. Semenova. "Design of Personalized User Interfaces of Intelligent Training Systems Based on Neural Network Technologies." Informacionnye Tehnologii 29, no. 9 (2023): 473–84. http://dx.doi.org/10.17587/it.29.473-484.

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The article is devoted to the problem of developing adaptive interfaces of application programs, taking into account the individual characteristics of users. The novelty of the study is the use of two types of artificial neural networks (INS), which implement the creation of a personalized prototype of the interface, depending on the individual characteristics of the user. The first is a convolutional INS used to assess gender and age characteristics, as well as the emotional state of the user, based on recognition of his face. Second, deep INS is used to select the menu components of the adaptive interface prototype. The results of the experimental operation of the developed intelligent training system (IOS) with an adaptive interface showed an increase in the quality and efficiency of students' work when studying the material presented in the IOS.
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Youngho Lee, Y., and W. Woontack Woo. "Interactive edutainment system with enhanced personalized user interface framework." IEEE Transactions on Consumer Electronics 53, no. 2 (2007): 424–32. http://dx.doi.org/10.1109/tce.2007.381711.

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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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Huynh, Brandon, Adam Ibrahim, Yun Suk Chang, Tobias Höllerer, and John O’Donovan. "User Perception of Situated Product Recommendations in Augmented Reality." International Journal of Semantic Computing 13, no. 03 (2019): 289–310. http://dx.doi.org/10.1142/s1793351x19400129.

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Augmented reality (AR) interfaces increasingly utilize artificial intelligence systems to tailor content and experiences to the user. We explore the effects of one such system — a recommender system for online shopping — which allows customers to view personalized product recommendations in the physical spaces where they might be used. We describe results of a [Formula: see text] condition exploratory study in which recommendation quality was varied across three user interface types. Our results highlight potential differences in user perception of the recommended objects in an AR environment. Specifically, users rate product recommendations significantly higher in AR and in a 3D browser interface, and show a significant increase in trust in the recommender system, compared to a web interface with 2D product images. Through semi-structured interviews, we gather participant feedback which suggests AR interfaces perform better due to their ability to view products within the physical context where they will be used.
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Yi, Minzhe, Ying Wang, Xiaoxue Tian, and Huichao Xia. "User Experience of the Mobile Terminal Customization System: The Influence of Interface Design and Educational Background on Personalized Customization." Sensors 21, no. 7 (2021): 2428. http://dx.doi.org/10.3390/s21072428.

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The study verified the role that different interface designs and users’ educational backgrounds play in the task performance and subjective evaluation of mobile terminal customization system. Interface type (based on scroll, alternative, and attribute) and user group (college students and industrial workers) were employed as the variables. A total of 72 users were included in the study, and an analysis of 3 × 2 between-participants design indicated that (1) Different interface designs of customization systems had a significant difference in task performance, the alternative based interface had the best results in the task performance, and there was no significant difference between the attribute-based and scroll-based interfaces in task performance; (2) The matching between educational background and interface type will affect the users’ evaluation on system usability. Industrial workers thought that the scroll-based and alternative-based interfaces were more useable, while college students preferred attribute-based interface design; (3) Different interfaces had a significant difference in user task load. The scroll-based interface had the lowest mental demand on the users, while alternative-based had the lowest physical demand on the users, though it consumed more effort; (4) Different educational backgrounds had a significant difference in user task load. Industrial workers showed lower effort in the scroll-based and alternative-based interfaces, while college students had lower effort in the attribution-based interface; (5) A correlation analysis showed that there was a significant negative correlation between the system usability score and the effort in task load. This study results have a positive significance for interface design. With educational background and layout as two important factors in our interface design, we may obtain the most appropriate design principles for enhancing the online customization experiences of different groups of consumers. The more important is that this study is based on the actual needs of the industry. For the first time, we take suitcase as an online customized product, which may not only help local manufacturers to extend their traditional offline distribution channels to online, but also provide a constructive thinking concerning interface design for customization of a single product.
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Murdalova, Iman E. "AUTOMATION OF INTERFACE GENERATION BASED ON USER DATA AND MACHINE LEARNING." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 9/15, no. 150 (2024): 141–47. https://doi.org/10.36871/ek.up.p.r.2024.09.15.017.

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The article discusses an approach to automating the generation of user interfaces based on user data and machine learning algorithms. The relevance of the topic is due to the need to create personalized interfaces that take into account individual preferences and user behavior, which is especially important in the context of a growing volume of digital products. The proposed system uses methods for analyzing user data, including behavioral and contextual data, to create adaptive interfaces using generative neural networks. The experiments showed that the generated interfaces provide high adaptation accuracy (91%), a 20% reduction in user task completion time, and an increase in satisfaction to 8.7 points out of 10. The results confirm that interface generation automation can reduce time and resource costs while maintaining high quality and personalization.
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Liu, Yingchia, Hao Tan, Guanghe Cao, and Yang Xu. "Enhancing User Engagement through Adaptive UI/UX Design: A Study on Personalized Mobile App Interfaces." World Journal of Innovation and Modern Technology 7, no. 5 (2024): 1–21. http://dx.doi.org/10.53469/wjimt.2024.07(05).01.

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This paper presents a comprehensive study on developing and evaluating an adaptive UI/UX framework to enhance user engagement in mobile applications through personalized interfaces. The research investigates key factors influencing user engagement, including demographics, cognitive abilities, and contextual variables. A context-aware adaptation engine was designed to adjust interface elements based on real-time user data dynamically. The proposed framework was implemented in a mobile learning application and subjected to rigorous usability testing and user engagement analysis. Results demonstrated significant improvements in task completion rates, user satisfaction, and overall engagement metrics compared to non-adaptive interfaces. This study contributes valuable insights into the design and optimization of adaptive mobile interfaces, emphasizing the importance of personalization in creating compelling user experiences.
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Dissertations / Theses on the topic "Personalized User Interface"

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Faaborg, Alexander James. "A goal-oriented user interface for personalized semantic search." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/34186.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, February 2006.<br>Includes bibliographical references (v. 2, leaves 280-288).<br>Users have high-level goals when they browse the Web or perform searches. However, the two primary user interfaces positioned between users and the Web, Web browsers and search engines, have very little interest in users' goals. Present-day Web browsers provide only a thin interface between users and the Web, and present-day search engines rely solely on keyword matching. This thesis leverages large knowledge bases of semantic information to provide users with a goal-oriented Web browsing experience. By understanding the meaning of Web pages and search queries, this thesis demonstrates how Web browsers and search engines can proactively suggest content and services to users that are both contextually relevant and personalized. This thesis presents (1) Creo, a Programming by Example system that allows users to teach their computers how to automate interactions with their favorite Web sites by providing a single demonstration, (2) Miro, a Data Detector that matches the content of a Web page to high-level user goals, and allows users to perform semantic searches, and (3) Adeo, an application that streamlines browsing the Web on mobile devices, allowing users to complete actions with a minimal amount of input and output.<br>(cont.) An evaluation with 34 subjects found that they were more effective at completing tasks when using these applications, and that the subjects would use these applications if they had access to them. Beyond these three user interfaces, this thesis also explores a number of underlying issues, including (1) automatically providing semantics to unstructured text, (2) building robust applications on top of messy knowledge bases, (3) leveraging surrounding context to disambiguate concepts that have multiple meanings, and (4) learning new knowledge by reading the Web.<br>by Alexander James Faaborg.<br>S.M.
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Hui, Ka Keung. "A method of episode identification and association in human-computer interaction with applications to personalized interface agents." HKBU Institutional Repository, 2000. http://repository.hkbu.edu.hk/etd_ra/299.

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Blom, Jan Otto. "Psychological implications of personalised user interfaces." Thesis, University of York, 2002. http://etheses.whiterose.ac.uk/21051/.

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A series of quantitative and qualitative investigations were performed in the course of the PhD to assess the psychological impact of the use of personalised user interfaces. The research involved three parts: (1) controlled web-based experiments investigating the interaction of personalisation and personification, i.e., the degree to which the interface presents itself as a human being; (2) qualitative studies assessing personalisation of appearance and personalised recommendations; (3) further quantitative studies investigating the findings from Part 2. Part 1 involved two experiments where the participants were asked to interact with a fictional on line bank incorporating personalisation and personification. The experiments led to the conclusion that under some circumstances, the incorporation of personalisation features in a web-based electronic service can have beneficial user effects. It may be that in certain circumstances personalisation should be accompanied by personification to enable these effects. The qualities on which personalisation and personification may have a positive impact include at least mental workload, engagement, trust, and emotional involvement. Rather than focusing on the combined effects of a range of personalisation features, Part 2 studied individual personalisation features. Discussion groups were run to investigate the user implications of personalisation of appearance and personalised recommendations. Grounded theory analysis of the transcripts yielded theories on these two technologies. In the former theory, Dispositions lead to Personalisation Behaviour, which in turn has Effects on the user. The latter highlights factors that affect an individual's disposition to use personalised information. The Theory of Personalisation of Appearance (TPA) was further developed and validated using two qualitative follow-up studies. In Part 3, a questionnaire and an experiment were performed to validate the structure of the TP A. In the questionnaire study, consistent with the TP A, the main elements of the TP A correlated positively with each other. The study also resulted in modifying the supercategories grouping the Effects. The experiment, although exploratory, found support for the notion that Personalisation Behaviour causes Effects. Both of the validation studies suggested that the TP A provides an accurate description of the phenomenon it aims to describe.
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Findlater, Leah. "Supporting feature awareness and improving performance with personalized graphical user interfaces." Thesis, University of British Columbia, 2009. http://hdl.handle.net/2429/11622.

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Personalized graphical user interfaces have the potential to reduce visual complexity and improve efficiency by modifying the interface to better suit an individual user's needs. Working in a personalized interface can make users faster, more accurate and more satisfied; in practice, however, personalization also comes with costs, such as a reliance on user effort to control the personalization, or the introduction of spatial instability when interface items are reorganized automatically. We conducted a series of studies to examine both the costs and benefits of personalization, and to identify techniques and contexts that would be the most likely to provide an overall benefit. We first interviewed long-term users of a software application that provides adaptable (user-controlled) personalization. A design trade-off that emerged is that while personalization can increase the accessibility of features useful to a user's current task, it may in turn negatively impact the user's awareness of the full set of available features. To assess this potential trade-off, we introduced awareness as an evaluation metric to be used alongside more standard performance measures and we ran a series of three studies to understand how awareness relates to core task performance. These studies used two different measures to assess awareness, showing that personalization can impact both the recognition rate of unused features in the interface and user performance on new tasks requiring those features. We investigated both adaptive (system-controlled) and adaptable personalization techniques to help us understand the generalizability of the awareness concept. In addition to introducing and incorporating awareness into our evaluations, we studied how specific contextual and design characteristics impact the user's experience with adaptive interfaces. In one study, we evaluated the impact of screen size on performance and user satisfaction with adaptive split menus. Results showed that the performance and satisfaction benefits of spatially reorganizing items in the interface are more likely to outweigh the costs when screen size is small. We also introduced a new adaptive personalization technique that maintains spatial stability, called ephemeral adaptation, and evaluated it through two studies. Ephemeral adaptation improves performance over both another closely related adaptive technique and a traditional interface.
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Gkotse, Blerina. "Ontology-based Generation of Personalised Data Management Systems : an Application to Experimental Particle Physics." Thesis, Université Paris sciences et lettres, 2020. http://www.theses.fr/2020UPSLM017.

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Ce travail de thèse vise à combler le fossé entre les domaines de la sémantique du Web et de la physique des particules expérimentales. En prenant comme cas d'utilisation un type spécifique d'expérience de physique, les expériences d'irradiation utilisées pour tester la résistance des composants au rayonnement, un modèle de domaine, ce qui, dans le domaine de la sémantique du Web, est appelé ontologie, a été créé pour décrire les principaux concepts de la gestion des données des expériences d'irradiation. Puis, en s'appuyant sur ce type de formalisation, une méthodologie a été conçue pour réaliser automatiquement la génération de systèmes de gestion de données fondés sur des ontologies ; elle a été utilisée pour générer des interfaces utilisateur pour l'ontologie IEDM introduite précédemment. Dans la dernière partie de ce travail de thèse, nous nous sommes penchés sur l'utilisation des préférences d'affichage des interfaces-utilisateur (UI), stockées en tant qu'instances d'une ontologie de description d'interfaces que nous avons développée pour enrichir IEDM. Nous introduisons une nouvelle méthode d'encodage de ces données, instances d'ontologie, en tant que vecteurs de plongement (``embeddings'') qui pourront être utilisés pour réaliser, à terme, des interfaces-utilisateur personnalisées<br>This thesis work aims at bridging the gap between the fields of Web Semantics and Experimental Particle Physics. Taking as a use case a specific type of physics experiments, namely the irradiation experiments used for assessing the resistance of components to radiation, a domain model, what in Web Semantics is called an ontology, has been created for describing the main concepts underlying the data management of irradiation experiments. Using such a formalisation, a methodology has been introduced for the automatic generation of data management systems based on ontologies and used to generate a web application for IEDM, the previously introduced ontology. In the last part of this thesis work, by the use of user-interface (UI) display preferences stored as instances of a UI-dedicated ontology we introduced, a method that represents these ontology instances as feature vectors (embeddings) for recommending personalised UIs is presented
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Chiang, Yi-Te, and 蔣毅德. "Building a Personalized User Interface System for Internet Learner." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/62442250155269726196.

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碩士<br>大葉大學<br>資訊管理學系碩士班<br>91<br>The learning environment didn’t limit in classroom due to the popularization of the internet. Using internet technology to support classroom learning is popular in recent years. But this technology lays particular stress on one way information transmission, and too much information will make users feel cognitive overhead, loss their learning interest. Today we know this information transmit environment have three kinds of people: the first is content provider, the second is channel provider, the third is reader. And their positions will change in the future. For higher efficiency information transmit, it will produce a new kind of type. It’s like an agent, and this agent is a person or an entity. In the digital era, this agent should be an intelligence computer or similar program, so try to design the personal knowledge-learning intensive user interface is a goal. It’s a good idea to use personalized user interface to promote the learning interest of the internet learners.
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Lin, Yi-Jiun, and 林怡君. "An Investigation on the Design of Personalized Weblog User Interface." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/63106320109845389448.

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碩士<br>國立臺灣科技大學<br>設計研究所<br>95<br>The service of Weblog can be viewed as a unique media center. It is an open and simple Web tool with the concept of personal on-line publishing system. It is also a newly integrated Web media during these two years. Weblog is slightly changing the current transmission style of Web information, which makes the sharing of information much easier and more effective. By means of the Weblog service, users can quickly establish an on-line personal space. Nonetheless, there are many issues pertaining to the functions and interface design of a Weblog that still need to explore. For example, what are the actual user requirements regarding Weblog functions and interface design? How to avoid resulting in rigid Web information presentation style by providing users with templates? How to incorporate emotion design in the Weblog user interface to facilitate users’ perceptions of more pleasurable interaction experience? The purpose of this study is to investigate if applying the concepts of “emotion interface” and “user customized interface” can enhance users’ task performance, pleasure perception, system usability and user interface satisfaction based on users’ viewpoints. This research study adopts the methods of system development proposed by Eisenhardt (1989). A total of three stages were used. In the first stage, based on the review of relevant literatures, three represented Weblog service, i.e., Blogger, MSN Space, and Yahoo! 360o, were chosen for qualitative analysis. The common Weblog interface design guidelines were summarized. In the second stage, user requirements were investigated by means of questionnaire survey and interviews of related cases. In the third stage, based on the results generated from literature reviews, current Weblog analysis, and user requirements, personalized Weblog user interfaces were designed and evaluated. A total of four Weblog prototypes were designed for a series of task operations. These four Weblog prototypes were: (1) A typical Weblog user interface with user requirement considerations served as the control group. (2) The emotion group was designed with emotional representation characteristics. (3) The user customized interface group allowed a user to move the Weblog elements freely. (4) The emotion and user customized interface group was designed with the emotion factor and allowed users to freely move the Weblog elements. The results generated from this study were: (1) What the user requires most regarding Weblog functions and personalized user interface are providing instant preview and templates or topics. The results from user requirement analysis showed that users prefer simple and clear designs with the consideration of presentation of personal characteristics. Because of this, there is an urgent need for personalized user interface design. In addition, an interaction designer needs to carefully plan the interaction flow among different Web pages when designing the Weblog. By so doing can prevent users from disorientation among various Web pages. (2) The reason why the Weblog is currently so popular is because of its simple interaction process and easy to use. Therefore, the factors of users’ content planning time, time for text input, and Internet speed are the primary factors influencing users’ task performance. The result showed that there existed no significant difference in the users’ over task performance among these four Weblog prototypes. (3) There existed significant differences in the adjectives of “exciting,” “satisfied,” “pleasurable,” and “free” within the pleasure measurement scale among these four Weblog prototypes. Therefore, the Weblog user interfaces of emotion group and user customized interface group could help users personalize their Weblog design and, at the same time, enhance their pleasure perceptions. (4) The results from the System Usability Scale (SUS) showed that users had similar subjective assessments towards these four Weblog prototypes. Furthermore, because the total points of the SUS are 100, the points assigned by the users pertaining to these four Weblog prototypes were all higher than 71 points. This means that users were all satisfied with the Weblog usability of these four prototypes. (5) There existed no significant difference among these four Weblog prototypes pertinent to the results of each evaluation criterion from Questionnaire for User Interaction Satisfaction (QUIS). However, the users of medium- and lower-level use experience revealed significant difference in the overall QUIS survey. The results indicated that users of medium level use experience might have the most strict requirements regarding these four Weblog prototypes. By means of the refinement and development of Weblog user interface, the author hopes that the research results can be a good reference for interaction designer when s/he plans a Weblog user interface design in the future. Therefore, users can construct and personalize their Weblog user interfaces in a much easier, efficient, pleasurable, and organized way.
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Guo-Yang, Sun, and 孫國揚. "The Development of a User Interface for Personalized Health Service." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/03136714226032323869.

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碩士<br>亞洲大學<br>數位媒體設計學系碩士班<br>99<br>Due to advancements in today's medical science and techniques, the average human life span has been prolonged. But still, under the pressure of work and stress of a normal living day expenses in a present society, a lot of new modern day chronic diseases have developed for example, depression, diabetes and obesity. If all of these problems are to be put under the medical system and become the full responsibility of the hospitals then it will greatly increase the medical resource needed, hence creating an increase in medical expense. Therefore, the need to provide household health management and personal health service to maintain a healthy body will become a major issue in today's society. And by using a personal health management device it will help us to better understand our body functions and conditions even without the need to go to a hospital. Devices with interactive interface are fast becoming a common feature within today's society from the traditional computer to portable devices such as PDA and smart phones. Hence fore by determining the use of a proper interface designed specifically for each individual within a health management device is very important. The following thesis incorporates the use of the Google website's search engine to it optimum, by packaging each unique function within a specific 'Widget'. The users can then choose the appropriate 'Widget' functions out of all the different kinds of "Widget" functions according to their own personal needs and likings. Of which guaranteeing an interactive interface that will be designed specifically for each person's health management needs on their device.
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Lin, Shan Ju, and 林珊如. "The user interface design and usability study of personalized food portion size estimation on mobile device." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/945mk4.

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Ssu-Min, Wu, and 吳思民. "Employing Personalized Shortcut Options and Group Recommending Options for Improving the Usability of User Interface of Online Hospital Registration System." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/592w27.

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碩士<br>國立臺北科技大學<br>創新設計研究所<br>105<br>This study aims to improve the efficiency of hospital registration user interface by employing user’s experience data. Users complete registration task under the guidance of a sequence of dialog boxes that lead the user through a series of well-defined steps, it is usually called Wizard Interface. Wizard Interface is good for first-time users due to its error prevention, but is troublesome for experienced users. This study intend to improve the usability of hospital registration user interface through Personalized Shortcut Options and Group Recommending Options. This study carried out observation study, hospital director interview, case study, and developed a prototype interface with Personal Shortcut Options and Group Recommending Options. Heuristic Evaluation was carried out for usability inspection in the process of prototype development. The evaluation of interface comprehension and learnability was completed by users experiment. Statistical results show that: (1) Applying personal user experience to develop Personal Shortcut Options can simplify the registration processes and improve efficiency. Through the experiment of learnability, users reached a plateaus of development after 2 to 3 times of practice. (2) Applying user group experience to develop Group Recommending Options that prompt options for majority users as priorities, significantly raise the efficiency of searching options. Users who choose option for minority users can also benefits from raising efficiency due to grouping effect of complex options. (3) Application of Responsive Disclosure can lead users to grasp the layout of interface; its effectiveness and feasibility are both verified.
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Books on the topic "Personalized User Interface"

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Miau, Daniel. Personalized Navigation Instruments for Map User Interfaces. [publisher not identified], 2018.

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Alepis, Efthimios, and Maria Virvou. Object-Oriented User Interfaces for Personalized Mobile Learning. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-53851-3.

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Solla, Alberto Gil. TV-Anytime: Paving the Way for Personalized TV. Springer Berlin Heidelberg, 2013.

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Virvou, Maria, and Efthimios Alepis. Object-Oriented User Interfaces for Personalized Mobile Learning. Springer, 2016.

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Virvou, Maria, and Efthimios Alepis. Object-Oriented User Interfaces for Personalized Mobile Learning. Springer, 2014.

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Springer. Object-Oriented User Interfaces for Personalized Mobile Learning. Springer London, Limited, 2014.

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Object Oriented User Interfaces For Personalized Mobile Learning. Springer-Verlag Berlin and Heidelberg GmbH &, 2014.

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Solla, Alberto Gil, and Rafael G. Sotelo Bovino. TV-Anytime: Paving the Way for Personalized TV. Springer, 2015.

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Book chapters on the topic "Personalized User Interface"

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Liu, Hao, Xiangxian Li, Wei Gai, Yu Huang, Jingbo Zhou, and Chenglei Yang. "Personalized User Interface Elements Recommendation System." In Advances in Computer Graphics. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-23473-6_33.

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Xiao, Ning, Xiaojun Wang, and Yaming Han. "Personalized Graphical User Interface Based on Java." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22456-0_45.

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Liu, Jiming, Kelvin Chi Kuen Wong, and Ka Keung Hui. "Discovering User Behavior Patterns in Personalized Interface Agents." In Intelligent Data Engineering and Automated Learning — IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44491-2_58.

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Nakamura, Hiroyuki, Yuan Gao, He Gao, Hongliang Zhang, Akifumi Kiyohiro, and Tsunenori Mine. "Adaptive User Interface for Personalized Transportation Guidance System." In Intelligent Systems Reference Library. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-47227-9_9.

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Fischer, Philipp, and Andreas Nürnberger. "myCOMAND Automotive User Interface: Personalized Interaction with Multimedia Content Based on Fuzzy Preference Modeling." In User Modeling, Adaptation, and Personalization. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13470-8_29.

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Tedeschi, Valeria, Cihan Uyanik, Marco Ghislieri, and Sadasivan Puthusserypady Kumaran. "Personalized Stroke Rehabilitation: A Fusion of 3D User Interface Guidance and Brain-Computer Interface." In Biosystems & Biorobotics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-77588-8_159.

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Margaris, Dionisis, Dimitris Spiliotopoulos, Costas Vassilakis, and Gregory Karagiorgos. "A User Interface for Personalized Web Service Selection in Business Processes." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60152-2_41.

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Nakamura, Hiroyuki, Yuan Gao, He Gao, Hongliang Zhang, Akifumi Kiyohiro, and Tsunenori Mine. "Adaptive User Interface Agent for Personalized Public Transportation Recommendation System: PATRASH." In PRIMA 2014: Principles and Practice of Multi-Agent Systems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13191-7_19.

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Yoon, Hyoseok, Hyejin Kim, and Woontack Woo. "Personal Companion: Personalized User Interface for U-Service Discovery, Selection and Interaction." In Universal Access in Human-Computer Interaction. Ambient Interaction. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73281-5_115.

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Cho, Kwangsu, Sung-il Kim, and Sung-Hyun Yun. "The Design and Implementation of an Active Peer Agent Providing Personalized User Interface." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11552413_10.

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Conference papers on the topic "Personalized User Interface"

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Zhao, Jiayi, Nan Gao, Dongdong Weng, Yihua Bao, Xiaoqiang Liu, and Yan Zhou. "Emotion-Aware Personalized Co-Speech Motion Generation." In 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). IEEE, 2025. https://doi.org/10.1109/vrw66409.2025.00327.

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Wang, Guotao, Chenglizhao Chen, and Aimin Hao. "Eye-Tracking Driven Personalized 360° Panorama Content Generation." In 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). IEEE, 2025. https://doi.org/10.1109/vrw66409.2025.00403.

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Lee, Jong-In, and Wolfgang Stuerzlinger. "Towards Personalized Navigation in XR: Design Recommendations to Accommodate Individual Differences." In 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). IEEE, 2025. https://doi.org/10.1109/vrw66409.2025.00059.

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Figueiredo, Inês, Bernardo Marques, Sérgio Oliveira, Paulo Dias, and Beatriz Sousa Santos. "Towards Adaptive Virtual Reality for Stroke Recovery: A Personalized Approach to Rehabilitation." In 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). IEEE, 2025. https://doi.org/10.1109/vrw66409.2025.00211.

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Lopes, Marilia K. S., and Tiago H. Falk. "Generative AI for Personalized Multisensory Immersive Experiences: Challenges and Opportunities for Stress Reduction." In 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). IEEE, 2025. https://doi.org/10.1109/vrw66409.2025.00036.

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Abdullah, Natrah, and Wan Adilah Wan Adnan. "Personalized user interface model of web application." In 2008 International Symposium on Information Technology. IEEE, 2008. http://dx.doi.org/10.1109/itsim.2008.4631581.

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Tran, Vi, Jean Vanderdonckt, Manuel Kolp, and Stéphane Faulkner. "Generating User Interface from Task, User and Domain Models." In 2009 Second International Conference on Advances in Human-Oriented and Personalized Mechanisms, Technologies, and Services. IEEE, 2009. http://dx.doi.org/10.1109/centric.2009.24.

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Nawaz, Mohammad, Luvai Motiwalla, and Amit V. Deokar. "Adaptive User Interface for a Personalized Mobile Banking App." In UMAP '18: 26th Conference on User Modeling, Adaptation and Personalization. ACM, 2018. http://dx.doi.org/10.1145/3213586.3226209.

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Mozgai, Sharon, Arno Hartholt, and Albert "Skip" Rizzo. "An Adaptive Agent-Based Interface for Personalized Health Interventions." In IUI '20: 25th International Conference on Intelligent User Interfaces. ACM, 2020. http://dx.doi.org/10.1145/3379336.3381467.

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Nivethika, Mahasivam, Ilanthalaisingam Vithiya, Sebastiankularatnam Anntharshika, and Sampath Deegalla. "Personalized and adaptive user interface framework for mobile application." In 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, 2013. http://dx.doi.org/10.1109/icacci.2013.6637474.

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Reports on the topic "Personalized User Interface"

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Halloran, Margaret E. Cadet Personalized Educational Gateway: Design and Evaluation of the User Interface. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada496074.

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