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visual Collaboration - An Approach for visual Analytical Collaborative Research

Visual Collaboration - An Approach for Visual Analytical Col...

引用

International Conference on Information visualisation (IV)

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

ISBN: (纸本)9781665490085

Studies have shown that collaboration in scientific fields is rising and considered enormously important. However, collaboration has proved to be challenging for various reasons, among others, the requirements for human-machine workflows. The importance of scientific collaboration lies in the complexity of the challenges that are faced today. The more complex the challenge, the more scientists should work together. The current form of collaboration in the scientific community is not as intelligent as it should be. Scientists have to multitask with various applications, often losing cognitive focus. Collaboration itself is very nearsighted as it is usually conducted not solely based on expertise but instead on social or local networks. We introduce a single-source visual collaboration approach based on learning methods in this work. We use machine learning and natural language processing approaches to improve the traditional research and development process and create a system that facilitates and encourages collaboration based on expertise, enhancing the research collaboration process in many ways. Our approach combines collaborative visual analytics with enhanced collaboration techniques to support researchers from different disciplines.

关键词： Learning systems visualization visual analytics Collaboration Machine learning Feature extraction Natural language processing

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A future prospect for European collaboration on advanced analytics in economy and society 6

A future prospect for European collaboration on advanced ana...

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6th Collaborative European Research Conference, CERC 2020

作者： Below, Nicola Burkhardt, Dirk Kaupp, Lukas Nazemi, Kawa Darmstadt University of Applied Sciences Human-Computer Interaction and Visual Analytics Group Germany

Analytical Reasoning by applying machine learning approaches, artificial intelligence, NLP and visualizations allow to get deep insights into the different domains of various stakeholders and enable to solve complex tasks. Thereby the tasks are very heterogenous and subject of investigation in the different areas of application. These tasks or challenges should be defined by the stakeholders themselves and lead through a deep investigation to advanced analytical approaches. We therefore set up a strategic alliance of research, enterprises and societal organization with the goal of a strong collaboration to identify in a first step these challenges and workout technological solutions for each application scenario. We give in this paper a first draft of current challenges and technological advancements. The main contribution of this paper is next to an accurate description of the current challenges in the analytics domain, also the description of an agenda how these challenges can be solved. Furthermore, a process is explained, how the strategic alliance should act and organize their work to realize beneficial and useful analytical solutions. Copyright © 2020 for this paper by its authors.

关键词： Artificial intelligence

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visual dashboards in trend analytics to observe competitors and leading domain experts 6

Visual dashboards in trend analytics to observe competitors ...

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6th Collaborative European Research Conference, CERC 2020

作者： Sina, Lennart Burkhardt, Dirk Nazemi, Kawa Darmstadt University of Applied Sciences Human-Computer Interaction and Visual Analytics Group Germany

The rapid change due to digitalization challenge a variety of market players and force them to find strategies to be aware of developments in these markets, particularly those that impact their business. The main challenge is what a practical solution could look like and how technology can support market players in these trend observation tasks. The paper outlines therefore a technological solution to observe specific authors e.g. researchers who influence a certain market or engineers of competitors. In many branches both are well-known groups to market players and there is almost always the need of a technology that supports the topical observation. This paper focuses on the concept of how a visual dashboard could enable a market observation and how data must be processed for it and its prototypical implementation which enables an evaluation later. Furthermore, the definition of a principal technological analysis for innovation and technology management is created and is also an important contribution to the scientific community that specifically considers the technology perspective and its corresponding requirements. Copyright © 2020 for this paper by its authors.

关键词： Commerce

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Comparison of Full-text Articles and Abstracts for visual Trend analytics through Natural Language Processing

Comparison of Full-text Articles and Abstracts for Visual Tr...

引用

International Conference on Information visualisation (IV)

作者： Kawa Nazemi Maike J. Klepsch Dirk Burkhardt Lukas Kaupp Human-Computer Interaction & Visual Analytics Darmstadt University of Applied Sciences Darmstadt Germany

ISBN: (数字)9781728191348

ISBN: (纸本)9781728191355

Scientific publications are an essential resource for detecting emerging trends and innovations in a very early stage, by far earlier than patents may allow. Thereby visual analytics systems enable a deep analysis by applying commonly unsupervised machine learning methods and investigating a mass amount of data. A main question from the visual analytics viewpoint in this context is, do abstracts of scientific publications provide a similar analysis capability compared to their corresponding full-texts? This would allow to extract a mass amount of text documents in a much faster manner. We compare in this paper the topic extraction methods LSI and LDA by using full text articles and their corresponding abstracts to obtain which method and which data are better suited for a visual analytics system for Technology and Corporate Foresight. Based on a easy replicable natural language processing approach, we further investigate the impact of lemmatization for LDA and LSI. The comparison will be performed qualitative and quantitative to gather both, the human perception in visual systems and coherence values. Based on an application scenario a visual trend analytics system illustrates the outcomes.

关键词： Information science visual analytics Coherence Market research Large scale integration Natural language processing Libraries

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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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An Industry 4.0-Ready visual analytics Model for Context-Aware Diagnosis in Smart Manufacturing

An Industry 4.0-Ready Visual Analytics Model for Context-Awa...

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International Conference on Information visualisation (IV)

作者： Lukas Kaupp Kawa Nazemi Bernhard Humm Darmstadt University of Applied Sciences Darmstadt Germany Human-Computer Interaction & Visual Analytics Darmstadt University of Applied Sciences Darmstadt Germany

ISBN: (数字)9781728191348

ISBN: (纸本)9781728191355

The integrated cyber-physical systems in Smart Manufacturing generate continuously vast amount of data. These complex data are difficult to assess and gather knowledge about the data. Tasks like fault detection and diagnosis are therewith difficult to solve. visual analytics mitigates complexity through the combined use of algorithms and visualization methods that allow to perceive information in a more accurate way. Thereby, reasoning relies more and more on the given situation within a smart manufacturing environment, namely the context. Current general visual analytics approaches only provide a vague definition of context. We introduce in this paper a model that specifies the context in visual analytics for Smart Manufacturing. Additionally, our model bridges the latest advances in research on Smart Manufacturing and visual analytics. We combine and summarize methodologies, algorithms and specifications of both vital research fields with our previous findings and fuse them together. As a result, we propose our novel industry 4.0-ready visual analytics model for context-aware diagnosis in Smart Manufacturing.

关键词： Industries Analytical models Protocols visual analytics Pipelines Task analysis Smart manufacturing

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A mobile visual analytics approach for instant trend analysis in mobile contexts 5

A mobile visual analytics approach for instant trend analysi...

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

作者： Burkhardt, Dirk Nazemi, Kawa Kuijper, Arjan Ginters, Egils Human-Computer Interaction and Visual Analytics Research Group Darmstadt University of Applied Sciences Darmstadt Germany Department of Computer Science TU Darmstadt Darmstadt Germany Riga Technical University Riga Latvia

ISBN: (纸本)9788885741423

The awareness of market trends becomes relevant for a broad number of market branches, in particular the more they are challenged by the digitalization. Trend analysis solutions help business executives identifying upcoming trends early. But solid market analysis takes their time and are often not available on consulting or strategy discussions. This circumstance often leads to unproductive debates where no clear strategy, technology etc. could be identified. Therefore, we propose a mobile visual trend analysis approach that enables a quick trend analysis to identify at least the most relevant and irrelevant aspects to focus debates on the relevant options. To enable an analysis like this, the exhausting analysis on powerful workstations with large screens has to adopted to mobile devices within a mobile behavior. Our main contribution is the therefore a new approach of a mobile knowledge cockpit, which provides different analytical visualizations within and intuitive interaction design. © 5th International Conference of the Virtual and Augmented Reality in Education, VARE 2019. All rights reserved.

关键词： Decision support systems

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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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