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检索条件"任意字段=International Workshop on User Interfaces to Data Intensive Systems"

共 863 条记录，以下是1-10 订阅

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Proceedings - 2nd international workshop on user interfaces to data intensive systems, UIDIS 2001

Proceedings - 2nd International Workshop on User Interfaces ...

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2nd international workshop on user interfaces to data intensive systems, UIDIS 2001

ISBN: (纸本)0769508340

The proceedings contain 14 papers. The topics discussed include: challenges in content management for B2B electronic commerce;visualization and knowledge discovery for high dimensional data;an object-oriented multi-mediator browser;up-scaling a semantic navigation of an evidence-based medical information service on the internet to data intensive extranets;a semantics based interactive query formulation technique;a UML-based design environment for interactive applications;specifying conceptual interface patterns in an object-oriented method with automatic code generation;considering possible outcomes and the user's environment in designing user interfaces for data intensive systems;using XML to semi-automatically derive user interfaces;and on-line analytical processing while immersed in a cave.

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Proceedings Second international workshop on user interfaces in data intensive systems. UIDIS 2001

Proceedings Second International Workshop on User Interfaces...

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international workshop on user interfaces to data intensive systems

Presents the front cover of the proceedings record.

ISBN: (纸本)0769508340

Presents the front cover of the proceedings record.

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We Need to Understand Where the data Comes From: Co-Designing Transparent AI systems for Caregiving 25

We Need to Understand Where the Data Comes From: Co-Designin...

引用

30th international Conference on Intelligent user interfaces Companion, IUI 2025

作者： Hermann, Julia Jansen, Nadine Dogangün, Aysegül Ruhr West University of Applied Science Bottrop Germany

ISBN: (纸本)9798400714092

The explainability of artificial intelligence is crucial for trust and usability in safety-critical areas such as elderly care, where misinterpretation of AI recommendations and decisions can have serious consequences. This article presents the results of a prototyping workshop in which AI functions were merged with the workflows of caregivers to design intelligent user interfaces. Through participatory design and co-creation, caregivers and technical experts collaboratively designed paper prototypes considering explainable functions. A qualitative content analysis identified the most important requirements, such as context-sensitive explanations, adaptive learning, and seamless workflow integration. © 2025 Copyright held by the owner/author(s).

关键词： user interfaces

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Adaptive user interfaces based on behavioral analysis 3

Adaptive user interfaces based on behavioral analysis

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3rd international Conference on Cyber Hygiene and Conflict Management in Global Information Networks, CH and CMiGIN 2024

作者： Artamonov, Yevhen Okhrimenko, Tetyana Golovach, Iurii Krant, Daniil Radchenko, Andrij Radchenko, Kostiantyn Zaloznyi, Taras National Aviation University Liubomyra Huzara Ave. 1 Kyiv03058 Ukraine State Scientific and Research Institute of Cybersecurity Technologies and Information Protection Maksym Zalizniak Str. 3/6 Kyiv03142 Ukraine

The article reveals the possibilities of developing and applying adaptive interfaces that involve analyzing user behavior in e-learning systems. Methods of content adaptation based on personalization are a relevant direction in e-learning systems, because they allow taking into account the needs and requirements of users in an automatic mode. A user model is presented, which includes a comprehensive approach to representing both objective (progress indicators, performance, etc.) and subjective parameters (likes, user feedback, etc.), which allows personalizing the material and interface in accordance with individual requests and capabilities of users. The Levenshtein method determines the similarity between user behavior vectors and predefined learning templates, which allows the system to dynamically adjust data presentation scenarios to support the optimal learning trajectory. This method was used in the MS SQL Server online learning system and in a hardware-software complex for learning Braille. Changing the scenarios for displaying materials in accordance with a specific user category demonstrated significant improvements in learning success rates. Experiments showed that automatic switching of scenarios allowed the system to adapt to the level of learning material mastery by the user, which increased motivation and productivity. Each scenario of displaying educational materials provided for different levels of task complexity and depth of presentation of educational material, so changing scenarios during training added interactivity and increased the level of friendliness of the learning environment, which adapted to the pace and style of each user. System load assessment showed that the Levenstein method with minimal use of hardware resources solved the problem of measuring the similarity between user behavior and learning templates, which allows the system to adapt content in real time, taking into account the current productivity, interest and progress of th

关键词： Digital storage

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Automated Feature Engineering for Single-Trial EEG and Eye-Tracking Classification in Predictive Text interfaces

Automated Feature Engineering for Single-Trial EEG and Eye-T...

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international Winter workshop on Brain-Computer Interface (BCI)

作者： Ard Kastrati R. Michael Winters Nemanja Djuric Ivan J. Tashev Yu-Te Wang ETH Zurich Pinnacle Group Inc. Microsoft Research Academia Sinica

ISBN: (数字)9798331521929

ISBN: (纸本)9798331521936

Brain-Computer interfaces (BCIs) offer a direct connection between the human brain and digital systems, enabling innovative applications. However, realizing the full potential of BCIs remains challenging due to issues like noise, artifacts, and limited data availability. In this study, we develop a multimodal classifier that integrates electroencephalogram (EEG) and eye-tracking (ET) data to decode user responses to predictive text suggestions. Utilizing an automated feature engineering approach, our pipeline efficiently generates and selects relevant features without extensive manual intervention or deep theoretical insights. Applied to a recent BCI case study involving predictive text input, our method achieved higher classification accuracies compared to traditional approaches. Additionally, it revealed novel insights, such as behavioral patterns where participants did not fully read incorrect predictions and the enhanced performance of multimodal classifiers when combining ICA-preprocessed EEG data with ET data. While automated feature engineering is standard in other domains, it is seldom applied in BCI research. Our findings demonstrate that this approach is a valuable tool for data-driven exploration and the development of competitive single-trial classifiers in novel multimodal BCI paradigms, particularly during the initial stages of research with limited data.

关键词： Electric potential Accuracy Digital systems Pipelines Noise Gaze tracking Manuals Electroencephalography Brain-computer interfaces Standards

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DocGenie: A Retrieval-Augmented Generation Chatbot for Interactive PDF Exploration

DocGenie: A Retrieval-Augmented Generation Chatbot for Inter...

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Electronics and Renewable systems (ICEARS), international Conference on

作者： Palomi Gawli Gauri Kulkarni Swapnil More Mitali Mukkawar Om Munde Saloni Nachankar Department of Artificial Intelligence and Data Science Vishwakarma Institute of Technology Pune India Department of Management Vishwakarma University Pune India

ISBN: (数字)9798331509675

ISBN: (纸本)9798331509682

In order to overcome the drawbacks of conventional PDF readers, this article presents DocGenie, a cutting-edge tool that allows for dynamic and interactive document study. DocGenie improves user engagement and accessibility in document-intensive workflows by enabling effective querying, summarization, and contextual interaction through the use of Retrieval-Augmented Generation (RAG) and Google Gemini Pro. The accuracy, efficiency, and user satisfaction of DocGenie surpass those of traditional tools because to the use of cutting-edge techniques including document chunking, FAISS-based embedding storage, and real-time natural language processing. The platform is a major breakthrough in AI-driven document interaction because of its distinctive characteristics, which include multi-document querying, adaptive summarization, and multilingual support. This paper also identifies opportunities for improvement, such as support for a variety of file formats and improved multilingual capabilities, while highlighting DocGenie's potential uses in fields including education, legal research, and digital libraries.

关键词： Accuracy Retrieval augmented generation user interfaces Portable document format Chatbots Feature extraction Vectors user experience Multilingual Text processing

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Digital Touchpoints: Generating Synthetic data for Elderly Smartphone Interactions

Digital Touchpoints: Generating Synthetic Data for Elderly S...

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11th international Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2025

作者： Maqbool, Bilal Herold, Sebastian Department of Mathematics and Computer Science Faculty of Health Science and Technology Karlstad University Karlstad Sweden

ISBN: (纸本)9789897587436

Context: Ensuring smartphone interfaces are usable and accessible is essential for elderly users, particularly those with motor impairments, who face challenges with touchscreen interactions. Problem: Hand tremors and limited motor control can hinder touchscreen accuracy and efficiency. Meanwhile, recruiting elderly participants for usability studies can be challenging, often resulting in limited interaction data. Objectives: This study aimed to investigate elderly users’ smartphone interaction patterns, identify key challenges, and generate synthetic data to address data scarcity for usability research. Method: A custom-designed mobile app collected interaction data from 51 elderly participants performing tapping, dragging, and tracing tasks. Hand steadiness was assessed using accelerometer data. Gaussian Process Regression (GPR) and Long Short-Term Memory (LSTM) models were used to generate synthetic datasets replicating user interaction patterns. Results: users with shaky hands struggled with precision tasks, especially involving smaller GUI elements, while larger elements improved performance. Continuous control was also found to be challenging in tracing tasks. Synthetic datasets successfully replicated spatial, temporal, and distributional metrics, demonstrating potential utility in future usability evaluation research. Conclusions: Inclusive GUI designs and adaptive features can improve accessibility for the elderly with limited motor control. Synthetic data can offer a potential solution for further usability evaluation research in building AI-driven design evaluation tools, reducing reliance on resource-intensive participant recruitment in earlier prototypes. Future work should examine diverse tasks and scenarios and involve people with severe motor impairments. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Usability engineering

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Using XML to semi-automatically derive user interfaces 2

Using XML to semi-automatically derive user interfaces

引用

2nd international workshop on user interfaces to data intensive systems (UIDIS 2001)

作者： Mueller, A Mundt, T Lindner, W Univ Rostock Dept Comp Sci D-18055 Rostock Germany

ISBN: (纸本)0769508359

Today, more and more data is being stored electronically, requiring systems to be able to save and retrieve large amounts of data efficiently. At the same time, user interfaces have to satisfy specific quality-of-service requirements. For example, in order to have a multi-media digital library supporting three different kinds of output devices (17 " screens, PDAs, and mobile phones), each user interface has to be programmed separately according to its representation capabilities. This means if the output devices are becoming more advanced, e.g., are colored or have higher resolutions, the interface parameters will change and, in many cases, the quality-of-service requirements too. This results in the user interfaces having to be amended or sometimes completely rewritten. The same applies when additional devices need to be supported, and they subsequently require new user interfaces to be built from scratch. Obviously, this is time-consuming and costly. In this paper, we present an approach using XML as the basic technology to semiautomatically derive any kind of user interface for data intensive systems.

关键词： user interfaces

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Considering possible outcomes and the user's environment in designing user interfaces for data-intensive systems 2

Considering possible outcomes and the user's environment in ...

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2nd international workshop on user interfaces to data intensive systems (UIDIS 2001)

作者： Renaud, K Cooper, R Univ South Africa ZA-0003 UNISA South Africa

ISBN: (纸本)0769508359

Application programmers are often unrealistic about the end-user's working environment and seldom cater for the effects of events which will interfere with the use of the application. Such events can disrupt the straightforward execution of a task and interfere with a user's concentration. These events, which will be referred to in this paper as "quirks", could be system breakdowns, various types of interruptions to application use, or human errors. Applications often make no concession to the inevitability of quirks and seldom give assistance in rebuilding mental context afterwards or facilitate understanding of the cause in the case of an error. In addition to the normal quirks caused merely by sharing office space or in working as part of a group of people, most data-intensive systems are distributed and this tends to precipitate a whole range of errors, hitherto unsuspected, which will probably be reported to the user in all their technical verbosity, reducing the user's understanding of, and confidence in, the system and perhaps necessitating intervention by specialists. The inherent distributed nature of data-intensive systems also increases the likelihood of breakdowns, since so many more computers are involved in the application than the computer being used by the end-user. Few applications consider the effects of quirks while developing their systems, and the user is therefore unsupported in recovering from them. This paper discusses how applications may be designed to better support users in dealing with the effects of quirks in data-intensive systems.

关键词： user interfaces

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An object-oriented multi-mediator browser 2

An object-oriented multi-mediator browser

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2nd international workshop on user interfaces to data intensive systems (UIDIS 2001)

作者： Cassel, K Risch, T Univ Uppsala Uppsala Database Lab Dept Informat Sci S-75105 Uppsala Sweden

ISBN: (纸本)0769508359

The area of data integration has gained increased popularity in recent years. A data browser is described for a data integration system where an intermediate layer of distributed mediators is used to query and integrate data,from heterogeneous data sources. The data sources can be regular relational databases but also other data producing programs. They often have complex data representations and are often object-oriented (DO). The mediator database layer is therefore also object-oriented for a high abstraction level. An OO query interface is used to access the mediator layer from application programs and users. For a scalable and component-based architecture the mediators can be used as servers for other mediators. This leads to a distributed mediator architecture where mediator servers interact with other mediators and data sources. The OO multi-mediator browser GOOVI is presented, which enables maintenance of such distributed mediator databases. With GOOVI all autonomous mediators in a federation can be viewed, queried, and updated. This multi-mediator browser also provides user interfaces for integrating data through OO views. The paper describes the architecture and functionality of GOOVI.

关键词： data integration

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