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  1. Book ; Online: Das Co-Creation Toolbook

    Kurzhals, Kerstin / Uude, Katrin / Sormani, Eva / Chak, Choiwai Maggie / Banze, Madleen

    Methoden für eine erfolgreiche Kooperation zwischen Hochschule und Gesellschaft

    2022  

    Author's details von Kerstin Kurzhals, Katrin Uude, Eva Sormani, Choiwai Maggie Chak, Madleen Banze
    Keywords Project management ; Knowledge management
    Subject code 658.404
    Language German
    Size 1 Online-Ressource (XXIII, 263 S. 312 Abb., 261 Abb. in Farbe)
    Edition 1st ed. 2022
    Publisher Springer Fachmedien Wiesbaden ; Imprint: Springer Gabler
    Publishing place Wiesbaden
    Document type Book ; Online
    HBZ-ID HT021217876
    ISBN 978-3-658-36411-3 ; 9783658364106 ; 3-658-36411-4 ; 3658364106
    DOI 10.1007/978-3-658-36411-3
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online: Das Co-Creation Toolbook : Methoden für eine erfolgreiche Kooperation zwischen Hochschule und Gesellschaft

    Kurzhals, Kerstin / Uude, Katrin / Sormani, Eva / Chak, Choiwai Maggie / Banze, Madleen

    2022  

    Keywords Project management ; Knowledge management ; Open Access ; Science with and for society ; Co-creation ; Tools und Methoden ; Transdisziplinäre Kooperationen ; Third Mission ; Wissens- und Technologietransfer ; Transferhemmnisse ; Social Innovation ; Gesellschaftsbasierte Forschung ; Gesellschaftliches Engagament/ Civic Engagement
    Size 1 electronic resource (263 pages)
    Publisher Springer Nature
    Document type Book ; Online
    Note German ; Open Access
    HBZ-ID HT021289722
    ISBN 9783658364113 ; 3658364114
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Article ; Online: Active Gaze Labeling: Visualization for Trust Building.

    Koch, Maurice / Cao, Nan / Weiskopf, Daniel / Kurzhals, Kuno

    IEEE transactions on visualization and computer graphics

    2024  Volume PP

    Abstract: Areas of interest (AOIs) are well-established means of providing semantic information for visualizing, analyzing, and classifying gaze data. However, the usual manual annotation of AOIs is time-consuming and further impaired by ambiguities in label ... ...

    Abstract Areas of interest (AOIs) are well-established means of providing semantic information for visualizing, analyzing, and classifying gaze data. However, the usual manual annotation of AOIs is time-consuming and further impaired by ambiguities in label assignments. To address these issues, we present an interactive labeling approach that combines visualization, machine learning, and user-centered explainable annotation. Our system provides uncertainty-aware visualization to build trust in classification with an increasing number of annotated examples. It combines specifically designed EyeFlower glyphs, dimensionality reduction, and selection and exploration techniques in an integrated workflow. The approach is versatile and hardware-agnostic, supporting video stimuli from stationary and unconstrained mobile eye tracking alike. We conducted an expert review to assess labeling strategies and trust building.
    Language English
    Publishing date 2024-04-22
    Publishing country United States
    Document type Journal Article
    ISSN 1941-0506
    ISSN (online) 1941-0506
    DOI 10.1109/TVCG.2024.3392476
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Eye Tracking for Personal Visual Analytics.

    Kurzhals, Kuno

    IEEE computer graphics and applications

    2015  Volume 35, Issue 4, Page(s) 64–72

    Abstract: In many research fields, eye tracking has become an established method to analyze the distribution of visual attention in various scenarios. With the trend toward increasingly affordable and easy-to-use consumer hardware, we expect mobile eye tracking to ...

    Abstract In many research fields, eye tracking has become an established method to analyze the distribution of visual attention in various scenarios. With the trend toward increasingly affordable and easy-to-use consumer hardware, we expect mobile eye tracking to become ubiquitous, recording massive amounts of gaze data on a regular basis in everyday personal situations. To make use of this data, new approaches for personal visual analytics will be necessary to make the data accessible for non-expert users for self-reflection and re-experiencing interesting events. We discuss how eye tracking fits in the context of personal visual analytics, the challenges that arise with its application to everyday situations, and the research perspectives of personal eye tracking. Therefore, the extraction and representation of areas of interest (AOIs) in the recorded data is a crucial part of data processing. We present a new technique to represent these AOIs from multiple videos: the AOI cloud. In our example, we apply this technique to examine the personal encounters of a user with other persons. The technique provides an accessible user interface that is also applicable to touch devices and therefore suitable for an integration into the everyday life of a user.
    Language English
    Publishing date 2015-05-13
    Publishing country United States
    Document type Journal Article
    ISSN 1558-1756
    ISSN (online) 1558-1756
    DOI 10.1109/MCG.2015.47
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Book ; Online: A Spiral into the Mind

    Koch, Maurice / Weiskopf, Daniel / Kurzhals, Kuno

    Gaze Spiral Visualization for Mobile Eye Tracking

    2022  

    Abstract: Comparing mobile eye tracking data from multiple participants without information about areas of interest (AOIs) is challenging because of individual timing and coordinate systems. We present a technique, the gaze spiral, that visualizes individual ... ...

    Abstract Comparing mobile eye tracking data from multiple participants without information about areas of interest (AOIs) is challenging because of individual timing and coordinate systems. We present a technique, the gaze spiral, that visualizes individual recordings based on image content of the stimulus. The spiral layout of the slitscan visualization is used to create a compact representation of scanpaths. The visualization provides an overview of multiple recordings even for long time spans and helps identify and annotate recurring patterns within recordings. The gaze spirals can also serve as glyphs that can be projected to 2D space based on established scanpath metrics in order to interpret the metrics and identify groups of similar viewing behavior. We present examples based on two egocentric datasets to demonstrate the effectiveness of our approach for annotation and comparison tasks. Our examples show that the technique has the potential to let users compare even long-term recordings of pervasive scenarios without manual annotation.

    Comment: To be published in ACM Symposium of Eye Tracking Research & Applications (ETRA), 2022
    Keywords Computer Science - Human-Computer Interaction
    Publishing date 2022-04-28
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Book ; Online: Visualization Psychology for Eye Tracking Evaluation

    Koch, Maurice / Kurzhals, Kuno / Burch, Michael / Weiskopf, Daniel

    2022  

    Abstract: Technical progress in hardware and software enables us to record gaze data in everyday situations and over long time spans. Among a multitude of research opportunities, this technology enables visualization researchers to catch a glimpse behind ... ...

    Abstract Technical progress in hardware and software enables us to record gaze data in everyday situations and over long time spans. Among a multitude of research opportunities, this technology enables visualization researchers to catch a glimpse behind performance measures and into the perceptual and cognitive processes of people using visualization techniques. The majority of eye tracking studies performed for visualization research is limited to the analysis of gaze distributions and aggregated statistics, thus only covering a small portion of insights that can be derived from gaze data. We argue that incorporating theories and methodology from psychology and cognitive science will benefit the design and evaluation of eye tracking experiments for visualization. This book chapter provides an overview of how eye tracking can be used in a variety of study designs. Further, we discuss the potential merits of cognitive models for the evaluation of visualizations. We exemplify these concepts on two scenarios, each focusing on a different eye tracking study. Lastly, we identify several call for actions.
    Keywords Computer Science - Human-Computer Interaction
    Publishing date 2022-04-27
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations.

    Abdelaal, Moataz / Schiele, Nathan D / Angerbauer, Katrin / Kurzhals, Kuno / Sedlmair, Michael / Weiskopf, Daniel

    IEEE transactions on visualization and computer graphics

    2022  Volume 29, Issue 1, Page(s) 896–906

    Abstract: This work investigates and compares the performance of node-link diagrams, adjacency matrices, and bipartite layouts for visualizing networks. In a crowd-sourced user study ( n=150), we measure the task accuracy and completion time of the three ... ...

    Abstract This work investigates and compares the performance of node-link diagrams, adjacency matrices, and bipartite layouts for visualizing networks. In a crowd-sourced user study ( n=150), we measure the task accuracy and completion time of the three representations for different network classes and properties. In contrast to the literature, which covers mostly topology-based tasks (e.g., path finding) in small datasets, we mainly focus on overview tasks for large and directed networks. We consider three overview tasks on networks with 500 nodes: (T1) network class identification, (T2) cluster detection, and (T3) network density estimation, and two detailed tasks: (T4) node in-degree vs. out-degree and (T5) representation mapping, on networks with 50 and 20 nodes, respectively. Our results show that bipartite layouts are beneficial for revealing the overall network structure, while adjacency matrices are most reliable across the different tasks.
    Language English
    Publishing date 2022-12-16
    Publishing country United States
    Document type Journal Article
    ISSN 1941-0506
    ISSN (online) 1941-0506
    DOI 10.1109/TVCG.2022.3209427
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Book ; Online: Data-Driven Visual Reflection on Music Instrument Practice

    Heyen, Frank / Ngo, Quynh Quang / Kurzhals, Kuno / Sedlmair, Michael

    2022  

    Abstract: We propose a data-driven approach to music instrument practice that allows studying patterns and long-term trends through visualization. Inspired by life logging and fitness tracking, we imagine musicians to record their practice sessions over the span ... ...

    Abstract We propose a data-driven approach to music instrument practice that allows studying patterns and long-term trends through visualization. Inspired by life logging and fitness tracking, we imagine musicians to record their practice sessions over the span of months or years. The resulting data in the form of MIDI or audio recordings can then be analyzed sporadically to track progress and guide decisions. Toward this vision, we started exploring various visualization designs together with a group of nine guitarists, who provided us with data and feedback over the course of three months.

    Comment: CHI 2022 IMI Workshop https://teamdarmstadt.de/imi/
    Keywords Computer Science - Human-Computer Interaction ; Computer Science - Graphics
    Publishing date 2022-03-24
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Situated Visual Analysis and Live Monitoring for Manufacturing.

    Becher, Michael / Herr, Dominik / Muller, Christoph / Kurzhals, Kuno / Reina, Guido / Wagner, Lena / Ertl, Thomas / Weiskopf, Daniel

    IEEE computer graphics and applications

    2022  Volume 42, Issue 2, Page(s) 33–44

    Abstract: Modern machines continuously log status reports over long periods of time, which are valuable data to optimize working routines. Data visualization is a commonly used tool to gain insights into these data, mostly in retrospective (e.g., to determine ... ...

    Abstract Modern machines continuously log status reports over long periods of time, which are valuable data to optimize working routines. Data visualization is a commonly used tool to gain insights into these data, mostly in retrospective (e.g., to determine causal dependencies between the faults of different machines). We present an approach to bring such visual analyses to the shop floor to support reacting to faults in real time. This approach combines spatio-temporal analyses of time series using a handheld touch device with augmented reality for live monitoring. Important information augments machines directly in their real-world context, and detailed logs of current and historical events are displayed on the handheld device. In collaboration with an industry partner, we designed and tested our approach on a live production line to obtain feedback from operators. We compare our approach for monitoring and analysis with existing solutions that are currently deployed.
    MeSH term(s) Augmented Reality ; Commerce ; Feedback ; Industry ; Retrospective Studies
    Language English
    Publishing date 2022-04-13
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1558-1756
    ISSN (online) 1558-1756
    DOI 10.1109/MCG.2022.3157961
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Book ; Online: What We See and What We Get from Visualization

    Kurzhals, Kuno / Burch, Michael / Weiskopf, Daniel

    Eye Tracking Beyond Gaze Distributions and Scanpaths

    2020  

    Abstract: Technical progress in hardware and software enables us to record gaze data in everyday situations and over long time spans. Among a multitude of research opportunities, this technology enables visualization researchers to catch a glimpse behind ... ...

    Abstract Technical progress in hardware and software enables us to record gaze data in everyday situations and over long time spans. Among a multitude of research opportunities, this technology enables visualization researchers to catch a glimpse behind performance measures and into the perceptual and cognitive processes of people using visualization techniques. The majority of eye tracking studies performed for visualization research is limited to the analysis of gaze distributions and aggregated statistics, thus only covering a small portion of insights that can be derived from gaze data. We argue that incorporating theories and methodology from psychology and cognitive science will benefit the design and evaluation of eye tracking experiments for visualization. This position paper outlines our experiences with eye tracking in visualization and states the benefits that an interdisciplinary research field on visualization psychology might bring for better understanding how people interpret visualizations.
    Keywords Computer Science - Human-Computer Interaction
    Subject code 306
    Publishing date 2020-09-30
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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