2019 |
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6. | ![]() | Burkhardt, Dirk; Nazemi, Kawa; Kuijper, Arjan; Ginters, Egils A Mobile Visual Analytics Approach for Instant Trend Analysis in Mobile Contexts Inproceedings 5th International Conference of the Virtual and Augmented Reality in Education (VARE2019), pp. 11–19, CAL-TEK SRL, Rende, Italy, 2019, ISBN: 978-88-85741-41-6, (Nominated for Best Paper Award). Abstract | Links | BibTeX | Tags: Business Analytics, Decision Support Systems, Human-Computer Interaction, Information Visualization, Mobile Devices, Mobile Visual Analytics, Visual Trend Analysis @inproceedings{Burkhardt2019b, title = {A Mobile Visual Analytics Approach for Instant Trend Analysis in Mobile Contexts}, author = {Dirk Burkhardt and Kawa Nazemi and Arjan Kuijper and Egils Ginters}, url = {https://dirk.burkhardt.xyz/wp-content/uploads/2019/09/2019vare-i.pdf, Dowload as PDF}, doi = { 10.5281/zenodo.3473041}, isbn = {978-88-85741-41-6}, year = {2019}, date = {2019-09-18}, booktitle = {5th International Conference of the Virtual and Augmented Reality in Education (VARE2019)}, pages = {11--19}, publisher = {CAL-TEK SRL}, address = {Rende, Italy}, abstract = {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.}, note = {Nominated for Best Paper Award}, keywords = {Business Analytics, Decision Support Systems, Human-Computer Interaction, Information Visualization, Mobile Devices, Mobile Visual Analytics, Visual Trend Analysis}, pubstate = {published}, tppubtype = {inproceedings} } 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. |
2017 |
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5. | ![]() | Nazemi, Kawa; Burkhardt, Dirk; Kuijper, Arjan Analyzing the Information Search Behavior and Intentions in Visual Information Systems Journal Article Journal of Computer Science Technology Updates (JCSTU), 4 (2), pp. 19–27, 2017, ISSN: 2410-2938. Abstract | Links | BibTeX | Tags: Adaptive Visualization, Distant Supervision, Human-Computer Interaction, Information Retrieval, Information Search Behavior, Interactive Search, Predictive Analysis, User-Centered Design @article{Nazemi2017, title = {Analyzing the Information Search Behavior and Intentions in Visual Information Systems}, author = {Kawa Nazemi and Dirk Burkhardt and Arjan Kuijper}, url = {https://dirk.burkhardt.xyz/wp-content/uploads/2018/11/2017jcstu.pdf, Paper as PDF}, doi = {10.15379/2410-2938.2017.04.02.02}, issn = {2410-2938}, year = {2017}, date = {2017-12-26}, journal = {Journal of Computer Science Technology Updates (JCSTU)}, volume = {4}, number = {2}, pages = {19--27}, abstract = {Visual information search systems support different search approaches such as targeted, exploratory or analytical search. Those visual systems deal with the challenge of composing optimal initial result visualization sets that face the search intention and respond to the search behavior of users. The diversity of these kinds of search tasks require different sets of visual layouts and functionalities, e.g. to filter, thrill-down or even analyze concrete data properties. This paper describes a new approach to calculate the probability towards the three mentioned search intentions, derived from users’ behavior. The implementation is realized as a web-service, which is included in a visual environment that is designed to enable various search strategies based on heterogeneous data sources. In fact, based on an entered search query our developed search intention analysis web-service calculates the most probable search task, and our visualization system initially shows the optimal result set of visualizations to solve the task. The main contribution of this paper is a probability-based approach to derive the users’ search intentions based on the search behavior enhanced by the application to a visual system.}, keywords = {Adaptive Visualization, Distant Supervision, Human-Computer Interaction, Information Retrieval, Information Search Behavior, Interactive Search, Predictive Analysis, User-Centered Design}, pubstate = {published}, tppubtype = {article} } Visual information search systems support different search approaches such as targeted, exploratory or analytical search. Those visual systems deal with the challenge of composing optimal initial result visualization sets that face the search intention and respond to the search behavior of users. The diversity of these kinds of search tasks require different sets of visual layouts and functionalities, e.g. to filter, thrill-down or even analyze concrete data properties. This paper describes a new approach to calculate the probability towards the three mentioned search intentions, derived from users’ behavior. The implementation is realized as a web-service, which is included in a visual environment that is designed to enable various search strategies based on heterogeneous data sources. In fact, based on an entered search query our developed search intention analysis web-service calculates the most probable search task, and our visualization system initially shows the optimal result set of visualizations to solve the task. The main contribution of this paper is a probability-based approach to derive the users’ search intentions based on the search behavior enhanced by the application to a visual system. |
2016 |
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4. | ![]() | Burkhardt, Dirk; Pattan, Sachin; Nazemi, Kawa; Kuijper, Arjan Search Intention Analysis for Task- and User-Centered Visualization in Big Data Applications Journal Article Procedia Computer Science. ICTE 2016, Riga Technical University, Latvia, 104 , pp. 539 - 547, 2016, ISSN: 1877-0509. Abstract | Links | BibTeX | Tags: Human-Computer Interaction, Information Retrieval, Interactive Search, Predictive Analysis, User-Centered Design @article{Burkhardt2016, title = {Search Intention Analysis for Task- and User-Centered Visualization in Big Data Applications}, author = {Dirk Burkhardt and Sachin Pattan and Kawa Nazemi and Arjan Kuijper}, editor = {Egils Ginters and Jörn Kohlhammer}, url = {https://dirk.burkhardt.xyz/wp-content/uploads/2018/11/2016icte.pdf, Paper as PDF}, doi = {10.1016/j.procs.2017.01.170}, issn = {1877-0509}, year = {2016}, date = {2016-01-30}, journal = {Procedia Computer Science. ICTE 2016, Riga Technical University, Latvia}, volume = {104}, pages = {539 - 547}, abstract = {A new approach for classifying users’ search intentions is described in this paper. The approach uses the parameters: word frequency, query length and entity matching for distinguishing the user's query into exploratory, targeted and analysis search. The approach focuses mainly on word frequency analysis, where different sources for word frequency data are considered such as the Wortschatz frequency service by the University of Leipzig and the Microsoft Ngram service (now part of the Microsoft Cognitive Services). The model is evaluated with the help of a survey tool and few machine learning techniques. The survey was conducted with more than one hundred users and on evaluating the model with the collected data, the results are satisfactory. In big data applications the search intention analysis can be used to identify the purpose of a performed search, to provide an optimal initially set of visualizations that respects the intended task of the user to work with the result data.}, keywords = {Human-Computer Interaction, Information Retrieval, Interactive Search, Predictive Analysis, User-Centered Design}, pubstate = {published}, tppubtype = {article} } A new approach for classifying users’ search intentions is described in this paper. The approach uses the parameters: word frequency, query length and entity matching for distinguishing the user's query into exploratory, targeted and analysis search. The approach focuses mainly on word frequency analysis, where different sources for word frequency data are considered such as the Wortschatz frequency service by the University of Leipzig and the Microsoft Ngram service (now part of the Microsoft Cognitive Services). The model is evaluated with the help of a survey tool and few machine learning techniques. The survey was conducted with more than one hundred users and on evaluating the model with the collected data, the results are satisfactory. In big data applications the search intention analysis can be used to identify the purpose of a performed search, to provide an optimal initially set of visualizations that respects the intended task of the user to work with the result data. |
2010 |
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3. | Burkhardt, Dirk; Hofmann, Cristian Erik; Nazemi, Kawa; Stab, Christian; Breyer, Matthias; Fellner, Dieter W Intuitive Semantic-Editing for regarding Needs of Domain-Experts Inproceedings Herrington, J; Montgomerie, C (Ed.): Proceedings of ED-MEDIA 2010--World Conference on Educational Multimedia, Hypermedia & Telecommunications, pp. 860–869, Association for the Advancement of Computing in Education (AACE), Waynesville, NC, 2010, ISBN: 978-1-880094-81-5. Abstract | Links | BibTeX | Tags: Human-Computer Interaction, Ontology, Semantic Editing, Semantic Web, User-Centered Interaction @inproceedings{Burkhardt2010, title = {Intuitive Semantic-Editing for regarding Needs of Domain-Experts}, author = {Dirk Burkhardt and Cristian Erik Hofmann and Kawa Nazemi and Christian Stab and Matthias Breyer and Dieter W. Fellner}, editor = {J. Herrington and C. Montgomerie}, url = {https://dirk.burkhardt.xyz/wp-content/uploads/2018/11/2010edmedia-i.pdf, Paper as PDF https://www.learntechlib.org/primary/p/34735/, DigLib Site}, isbn = {978-1-880094-81-5}, year = {2010}, date = {2010-06-29}, booktitle = {Proceedings of ED-MEDIA 2010--World Conference on Educational Multimedia, Hypermedia & Telecommunications}, pages = {860--869}, publisher = {Association for the Advancement of Computing in Education (AACE)}, address = {Waynesville, NC}, abstract = {Ontologies are used to represent knowledge and their semantic information from different topics, to allow users a better way to explore knowledge and find information faster, because of the data-structuring. To achieve a well filled knowledgebase, editors have to be used, to enter new and to edit existing information. But most of the existing ontology-editors are designed for experienced ontology-experts. Experts from other topic fields e.g. physicians are often novices in the area of ontology-creating, they need adequate tools, which hide the complexity of ontology-structures. In the area of e-learning experts are also teachers as well. In this paper we will present a method, how the needs of domain-experts can be regarded and so an editor can designed, which allows an editing and adding of information by users without having experiences of creating ontologies. With such an editor domain-experts are able to commit their expert-knowledge into the ontology.}, keywords = {Human-Computer Interaction, Ontology, Semantic Editing, Semantic Web, User-Centered Interaction}, pubstate = {published}, tppubtype = {inproceedings} } Ontologies are used to represent knowledge and their semantic information from different topics, to allow users a better way to explore knowledge and find information faster, because of the data-structuring. To achieve a well filled knowledgebase, editors have to be used, to enter new and to edit existing information. But most of the existing ontology-editors are designed for experienced ontology-experts. Experts from other topic fields e.g. physicians are often novices in the area of ontology-creating, they need adequate tools, which hide the complexity of ontology-structures. In the area of e-learning experts are also teachers as well. In this paper we will present a method, how the needs of domain-experts can be regarded and so an editor can designed, which allows an editing and adding of information by users without having experiences of creating ontologies. With such an editor domain-experts are able to commit their expert-knowledge into the ontology. | |
2. | Hofmann, Cristian Erik; Burkhardt, Dirk; Breyer, Matthias; Nazemi, Kawa; Stab, Christian; Fellner, Dieter W Towards a Workflow-based Design of Multimedia Annotation Systems Inproceedings Herrington, J; Montgomerie, C (Ed.): Proceedings of ED-MEDIA 2010 - World Conference on Educational Multimedia, Hypermedia & Telecommunications, pp. 1224–1233, Association for the Advancement of Computing in Education (AACE), Waynesville, NC, 2010, ISBN: 978-1-880094-81-5 . Abstract | Links | BibTeX | Tags: Algorithm, Human-Computer Interaction, Multimedia Annotation System, Workflow @inproceedings{Hofmann2010, title = {Towards a Workflow-based Design of Multimedia Annotation Systems}, author = {Cristian Erik Hofmann and Dirk Burkhardt and Matthias Breyer and Kawa Nazemi and Christian Stab and Dieter W. Fellner}, editor = {J. Herrington and C. Montgomerie}, url = {https://dirk.burkhardt.xyz/wp-content/uploads/2018/11/2010edmedia-ii.pdf, Paper as PDF https://www.learntechlib.org/primary/p/34788/, DigLib Site}, isbn = {978-1-880094-81-5 }, year = {2010}, date = {2010-06-29}, booktitle = {Proceedings of ED-MEDIA 2010 - World Conference on Educational Multimedia, Hypermedia & Telecommunications}, pages = {1224--1233}, publisher = {Association for the Advancement of Computing in Education (AACE)}, address = {Waynesville, NC}, abstract = {Annotation techniques for multimedia contents have found their way into multiple areas of daily use as well as professional fields. A large number of research projects can be assigned to different specific subareas of digital annotation. Nevertheless, the annotation process, bringing out multiple workflows depending on different application scenarios, has not sufficiently been taken into consideration. A consideration of respective processes and workflows requires detailed knowledge about practices of digital multimedia annotation. In order to establish fundamental groundwork towards workflow-related research, this paper presents a comprehensive process model of multimedia annotation which results from a conducted empirical study. Furthermore, we provide a survey of the tasks that have to be accomplished by users and computing devices, tools and algorithms that are used to handle specific tasks, and types of data that are transferred between workflow steps. These aspects are assigned to the identified sub-processes of the model.}, keywords = {Algorithm, Human-Computer Interaction, Multimedia Annotation System, Workflow}, pubstate = {published}, tppubtype = {inproceedings} } Annotation techniques for multimedia contents have found their way into multiple areas of daily use as well as professional fields. A large number of research projects can be assigned to different specific subareas of digital annotation. Nevertheless, the annotation process, bringing out multiple workflows depending on different application scenarios, has not sufficiently been taken into consideration. A consideration of respective processes and workflows requires detailed knowledge about practices of digital multimedia annotation. In order to establish fundamental groundwork towards workflow-related research, this paper presents a comprehensive process model of multimedia annotation which results from a conducted empirical study. Furthermore, we provide a survey of the tasks that have to be accomplished by users and computing devices, tools and algorithms that are used to handle specific tasks, and types of data that are transferred between workflow steps. These aspects are assigned to the identified sub-processes of the model. | |
2009 |
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1. | ![]() | Burkhardt, Dirk; Nazemi, Kawa; Bhatti, Nadeem; Hornung, Christoph Technology Support for Analyzing User Interactions to Create User-Centered Interactions Inproceedings Stephanidis, Constantine (Ed.): Universal Access in Human-Computer Interaction. Addressing Diversity, pp. 3–12, Springer Berlin Heidelberg, Berlin, Heidelberg, 2009, ISBN: 978-3-642-02707-9. Abstract | Links | BibTeX | Tags: Gesture Recognition, Human-Computer Interaction, User-Centered Interaction @inproceedings{Burkhardt2009, title = {Technology Support for Analyzing User Interactions to Create User-Centered Interactions}, author = {Dirk Burkhardt and Kawa Nazemi and Nadeem Bhatti and Christoph Hornung}, editor = {Constantine Stephanidis}, url = {https://dirk.burkhardt.xyz/wp-content/uploads/2018/11/2009hcii.pdf, Paper as PDF http://2009.hci.international/, Conference Site}, doi = {10.1007/978-3-642-02707-9_1}, isbn = {978-3-642-02707-9}, year = {2009}, date = {2009-01-01}, booktitle = {Universal Access in Human-Computer Interaction. Addressing Diversity}, volume = {5614}, pages = {3--12}, publisher = {Springer Berlin Heidelberg}, address = {Berlin, Heidelberg}, abstract = {Alternative interaction devices become more important in the communication between users and computers. Parallel graphical User Interfaces underlay a continuous development and research. But today does no adequate connection exist between these both aspects. So if a developer wants to provide an alternative access over more intuitive interaction devices, he has to implement this interaction-possibility on his own by regarding the users perception. A better way to avoid this time-consuming development-process is presented in this paper. This method can easy implement by a developer and users get the possibility to interact on intuitive way.}, keywords = {Gesture Recognition, Human-Computer Interaction, User-Centered Interaction}, pubstate = {published}, tppubtype = {inproceedings} } Alternative interaction devices become more important in the communication between users and computers. Parallel graphical User Interfaces underlay a continuous development and research. But today does no adequate connection exist between these both aspects. So if a developer wants to provide an alternative access over more intuitive interaction devices, he has to implement this interaction-possibility on his own by regarding the users perception. A better way to avoid this time-consuming development-process is presented in this paper. This method can easy implement by a developer and users get the possibility to interact on intuitive way. |
2019 |
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6. | ![]() | A Mobile Visual Analytics Approach for Instant Trend Analysis in Mobile Contexts Inproceedings 5th International Conference of the Virtual and Augmented Reality in Education (VARE2019), pp. 11–19, CAL-TEK SRL, Rende, Italy, 2019, ISBN: 978-88-85741-41-6, (Nominated for Best Paper Award). |
2017 |
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5. | ![]() | Analyzing the Information Search Behavior and Intentions in Visual Information Systems Journal Article Journal of Computer Science Technology Updates (JCSTU), 4 (2), pp. 19–27, 2017, ISSN: 2410-2938. |
2016 |
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4. | ![]() | Search Intention Analysis for Task- and User-Centered Visualization in Big Data Applications Journal Article Procedia Computer Science. ICTE 2016, Riga Technical University, Latvia, 104 , pp. 539 - 547, 2016, ISSN: 1877-0509. |
2010 |
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3. | Intuitive Semantic-Editing for regarding Needs of Domain-Experts Inproceedings Herrington, J; Montgomerie, C (Ed.): Proceedings of ED-MEDIA 2010--World Conference on Educational Multimedia, Hypermedia & Telecommunications, pp. 860–869, Association for the Advancement of Computing in Education (AACE), Waynesville, NC, 2010, ISBN: 978-1-880094-81-5. | |
2. | Towards a Workflow-based Design of Multimedia Annotation Systems Inproceedings Herrington, J; Montgomerie, C (Ed.): Proceedings of ED-MEDIA 2010 - World Conference on Educational Multimedia, Hypermedia & Telecommunications, pp. 1224–1233, Association for the Advancement of Computing in Education (AACE), Waynesville, NC, 2010, ISBN: 978-1-880094-81-5 . | |
2009 |
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1. | ![]() | Technology Support for Analyzing User Interactions to Create User-Centered Interactions Inproceedings Stephanidis, Constantine (Ed.): Universal Access in Human-Computer Interaction. Addressing Diversity, pp. 3–12, Springer Berlin Heidelberg, Berlin, Heidelberg, 2009, ISBN: 978-3-642-02707-9. |