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检索条件"机构=Human-Computer Interaction and Visual Analytics group"

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Medical visual analytics - An Interactive Approach for Analyzing Electronic Health Records

Medical Visual Analytics - An Interactive Approach for Analy...

引用

International Conference on Information visualisation (IV)

作者： Cristian A. Secco Lennart B. Sina Kawa Nazemi Human-Computer Interaction and Visual Analytics Darmstadt University of Applied Sciences Darmstadt Germany

ISBN: (数字)9798350380163

ISBN: (纸本)9798350380170

The evolving digitization of Germany's medical care provides new opportunities for computer-supported patient treatment. Particularly, resident medical doctors can be empowered to gather comprehensive information about the disease history, medications, and other important indicators quickly and increase the quality of treatment while maintaining the time for treatment. The central element that enables such computer-assisted support in the treatment is electronic health records (EHRs). EHRs facilitate digital access to vast medical data repositories in digital format that were previously confined to analog forms in medical facilities. However, using EHRs in daily medical treatment is time-consuming due to their unstructured textual format. There is a pressing need for analytical tools that extract the most important information from EHRs, provide that information in a quickly comprehensible way, and synthesize the entire patient history for a reliable medical treatment. In this work, we propose an innovative visual analytics approach and system specifically designed for medical care. Our approach and the implemented system seamlessly integrate interactive visualizations with fitting pre-trained transformer models to assist medical professionals in consolidating and presenting intricate patient data through comprehensible interactive visual interfaces. Utilizing transformer-based information extraction, it carefully manages the shift from digitized medical documents to quickly accessible patient information in a dynamic and interactive visual interface.

关键词： visual analytics Medical treatment Data visualization Pressing Transformers Information retrieval History Data mining Reliability Electronic medical records

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visual analytics for Corporate Foresight - A Conceptual Approach

Visual Analytics for Corporate Foresight - A Conceptual Appr...

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International Conference on Information visualisation (IV)

作者： Lennart B. Sina Cristian A. Secco Midhad Blazevic Kawa Nazemi Human-Computer Interaction and Visual Analytics Darmstadt University of Applied Sciences Darmstadt Germany

Corporate Foresight is a strategic planning process that helps organizations anticipate and prepare for future trends and developments that may impact their operations. It involves analyzing data, identifying potential scenarios, and creating strategies to address them to ensure long-term success and sustainability. visual analytics approaches have been introduced to cover parts of the Corporate Foresight process. These concepts present different approaches to integrate machine learning methods and artificial intelligence with interactive visualizations to solve tasks such as identifying emerging trends. A holistic concept for synthesizing visual analytics with Corporate Foresight does not exist yet. We propose in this work a holistic visual analytics approach that covers the main aspects of Corporate Foresight by including strategic management and considers different organizational forms. Our model goes beyond the state-of-the-art by providing, besides foresight also, hindsight and insight. Our main contributions are the revised visual analytics model and its proof of concept through implementation as a web-based system with real data.

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visual analytics - Climate Change in Social Media

Visual Analytics - Climate Change in Social Media

引用

International Conference on Information visualisation (IV)

作者： Vanessa Kokoschka Cristian A. Secco Kawa Nazemi Human-Computer Interaction and Visual Analytics Darmstadt University of Applied Sciences Darmstadt Germany

ISBN: (数字)9798350380163

ISBN: (纸本)9798350380170

Climate change is one of the greatest challenges of our time and affects all areas of our society. Climate science is a complex field and the majority of the public does not experience the effects of climate change directly but through media. Social media platforms are among the most important communication channels: millions of people exchange information and interact with content on these platforms every day. For this reason, knowledge about the development of climate communication is relevant for various disciplines, but especially for communication sciences. How social media users interact with content on climate change and what content they consume is important for adapting communication strategies. This enables communicators such as journalists to respond appropriately to user interests and align their content. We contribute with a novel approach to portray climate change behavior of social media, transformer-based speech extraction from web video, transformer-based information extraction and trend analysis, and an interactive visual interface showing topic-specific data and trends.

关键词： Climate change visual analytics Social networking (online) Video on demand Market research Data visualization Metadata visual analytics Meteorology

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visual analytics for Interactive Machine Learning - A Modular Multi-View Approach

Visual Analytics for Interactive Machine Learning - A Modula...

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International Conference on Information visualisation (IV)

作者： Elena Correll Uliana Eliseeva Kawa Nazemi Human-Computer Interaction and Visual Analytics Darmstadt University of Applied Sciences Darmstadt Germany

ISBN: (数字)9798350380163

ISBN: (纸本)9798350380170

Interactive machine learning enhances data pre-processing, feature engineering, and modeling through human interactions. As interactive machine learning becomes more in-corporated into visual analytics, new pipelines, concepts, and task taxonomies rise. A common technique for managing complexity in visual analytic systems is multiple-linked views. By now no comprehensive concept exists for multiple-linked views across all stages of the visual analytic pipeline. Therefore, we introduce a conceptual model that shows the possible interactions between humans and computers at each step of the VA pipeline. Our main contribution is a coordination model for linking multiple views across each layer of the VA pipeline.

关键词： computers Analytical models visual analytics Computational modeling Pipelines Taxonomy Refining Decision making Machine learning Data models

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Artificial Intelligence in visual analytics

Artificial Intelligence in Visual Analytics

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International Conference on Information visualisation (IV)

作者： Kawa Nazemi Human-Computer Interaction and Visual Analytics Darmstadt University of Applied Sciences Darmstadt Germany

visual analytics that combines automated methods with information visualization has emerged as a powerful approach to analytical reasoning. The integration of artificial intelligence techniques into visual analytics has enhanced its capabilities but also presents challenges related to interpretability, explainability, and decision-making processes. visual analytics may use artificial intelligence methods to provide enhanced and more powerful analytical reasoning capabilities. Furthermore, visual analytics can be used to interpret black-box artificial intelligence models and provide a visual explanation of those models. In this paper, we provide an overview of the state-of-the-art of artificial intelligence techniques used in visual analytics, focusing on both explainable artificial intelligence in visual analytics and the human knowledge generation process through visual analytics. We review explainable artificial intelligence approaches in visual analytics and propose a revised visual analytics model for Explainable artificial intelligence based on an existing model. We then conduct a screening review of artificial intelligence methods in visual analytics from two time periods to highlight recently used artificial intelligence approaches in visual analytics. Based on this review, we propose a revised task model for tasks in visual analytics. Our contributions include a state-of-the-art review of explainable artificial intelligence in visual analytics, a revised model for creating explainable artificial intelligence through visual analytics, a screening review of recent artificial intelligence methods in visual analytics, and a revised task model for generic tasks in visual analytics.

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human Factors in Information visualization and Decision Support Systems

Human Factors in Information Visualization and Decision Supp...

引用

Mensch und computer 2016, MuC 2016 - Workshopband - human and computer 2016, MuC 2016 - Workshop Proceedings

作者： Valdez, André Calero Brauner, Philipp Ziefle, Martina Kuhlen, Torsten Wolfgang Sedlmair, Michael Human-Computer Interaction Center RWTH Aachen University Germany Visual Computing Institute RWTH Aachen University Germany Visualization and Data Analysis Group TU Wien Austria

With the increase in data availability and data volume it becomes increasingly important to extract information and actionable knowledge from data. Information visualization helps the user to understand data by utilizing vision as a relatively parallel input channel to the user’s mind. Decision Support systems on the other hand help users in making information actionable, by suggesting beneficial decisions and presenting them in context. Both fields share a common need for understanding the interface between the computer and the human. This makes human factors research critical for both fields. Understanding limitations of human perception, cognition and action, as well as their variance must be understood to fully leverage information visualization and decision support. This article reflects on research agendas for investigating human factors in the aforementioned fields. Copyright © 2016 bei den Autoren.

关键词： Decision support systems

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Total cluster: A person agnostic clustering method for broadcast videos 14

Total cluster: A person agnostic clustering method for broad...

引用

9th Indian Conference on computer Vision, Graphics and Image Processing, ICVGIP 2014

作者： Tapaswi, Makarand Parkhi, Omkar M. Rahtu, Esa Sommerlade, Eric Stiefelhagen, Rainer Zisserman, Andrew Computer Vision for Human Computer Interaction Karlsruhe Institute of Technology Germany Visual Geometry Group Department of Engineering Science University of Oxford United Kingdom Center for Machine Vision Research University of Oulu Finland

ISBN: (纸本)1595930361

The goal of this paper is unsupervised face clustering in edited video material - where face tracks arising from different people are assigned to separate clusters, with one cluster for each person. In particular we explore the extent to which faces can be clustered automatically without making an error. This is a very challenging problem given the variation in pose, lighting and expressions that can occur, and the similarities between different people. The novelty we bring is three fold: first, we show that a form of weak supervision is available from the editing structure of the material - the shots, threads and scenes that are standard in edited video;second, we show that by first clustering within scenes the number of face tracks can be significantly reduced with almost no errors;third, we propose an extension of the clustering method to entire episodes using exemplar SVMs based on the negative training data automatically harvested from the editing structure. The method is demonstrated on multiple episodes from two very different TV series, Scrubs and Buffy. For both series it is shown that we move towards our goal, and also outperform a number of baselines from previous works. Copyright is held by the authors.

关键词： Cluster analysis

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Innovations in Mobility and Logistics: Assistance of Complex Analytical Processes in visual Trend analytics

Innovations in Mobility and Logistics: Assistance of Complex...

引用

International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS)

作者： Dirk Burkhardt Kawa Nazemi Egils Ginters Human-Computer Interaction and Visual Analytics group Darmstadt University of Applied Sciences Darmstadt Germany Riga Technical University Riga Latvia

ISBN: (数字)9781728191058

ISBN: (纸本)9781728191065

A variety of new technologies and ideas for businesses are arising in the domain of logistics and mobility. It can be differentiated between fundamental new approaches, e.g. central packaging stations or deliveries via drones and minor technological advancements that aim on more ecologically and economic transportation. The need for analytical systems that enable identifying new technologies, innovations, business models etc. and give also the opportunity to rate those in perspective of business relevance is growing. The users' behavior is commonly investigated in adaptive systems, which is considering the individual preferences of users, but neglecting often the tasks and goals of the analysis. A process-related supports could assist to solve an analytical task in a more efficient and effective way. We introduce in this paper an approach that enables non-professionals to perform visual trend analysis through an advanced process assistance based on process mining and visual adaptation. This allows generating a process model based on events, which is the baseline for process support feature calculation. These features in form of visual adaptations and the process model enable assisting non-experts in complex analytical tasks.

关键词： Market research Task analysis Business Adaptation models Analytical models Data mining Data visualization

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The concept of augmented reality application for putting alignment in golf 5

The concept of augmented reality application for putting ali...

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5th International Conference of the Virtual and Augmented Reality in Education, VARE 2019

作者： Ginters, Egils Burkhardt, Dirk Nazemi, Kawa Merkuryev, Yuri Sociotechnical Systems Engineering Group Department of Modelling and Simulation Faculty of Computer Science and Information Technology Riga Technical University 2 Daugavgrivas Street RigaLV-1048 Latvia Sociotechnical Systems OU Sakala 7-2 Street Tallinn10141 Estonia Human-Computer Interaction and Visual Analytics Research Group Darmstadt University of Applied Sciences Darmstadt Germany

ISBN: (纸本)9788885741423

Virtual and augmented reality (VR / AR) applications have successfully overcome the critical part of the Gartner curve. Investments are made and new products entering the economy. However, a very small percentage of society have also heard about AR glasses, mainly linking these with potential identity threats and personal data breaches. The authors dealt with the design of application of AR to improve golf skills by improving the putting technique. The above solution is complicated by requiring complex object recognition, tracking and advanced AR software designing. © 5th International Conference of the Virtual and Augmented Reality in Education, VARE 2019. All rights reserved.

关键词： Augmented reality

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visualizing Query Occurrence in Mobile Web Search Interfaces

Visualizing Query Occurrence in Mobile Web Search Interfaces

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International Conference on Information visualisation (IV)

作者： Tomi Heimonen Harri Siirtola Tampere Unit for Computer-Human Interaction (TAUCHI) Visual Interaction Research Group Department of Computer Sciences University of Tampere Finland

Mobile Web search engines represent retrieved results using primarily text based result surrogates. Users could benefit from information visualization techniques that provide more information about the results as basis of relevance judgments. We present a query-biased visualization approach that incorporates query occurrence visualization into the conventional mobile Web search interface. Textual and graphical versions of the design were evaluated in a study with 18 users. Eleven of the participants preferred either one of the visualizations to the traditional search interface. The results suggest that the key benefit of the proposed visualization is its unobtrusiveness. It does not distract from normal use yet when necessary it can be used to help with relevance assessment, for example when the search engine fails to provide good result ***, the utility of the proposed query occurrence visualization is dependent on how well it matches the user's mental model and existing search strategies.

关键词： Web search Search engines Mobile computing computer interfaces Data visualization Frequency Cellular neural networks Information retrieval Cognitive science Web pages

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