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  1. Article ; Online: BitConduite: Exploratory Visual Analysis of Entity Activity on the Bitcoin Network.

    Kinkeldey, Christoph / Fekete, Jean-Daniel / Blascheck, Tanja / Isenberg, Petra

    IEEE computer graphics and applications

    2022  Volume 42, Issue 1, Page(s) 84–94

    Abstract: We present BitConduite, a visual analytics approach for explorative analysis of financial activity within the Bitcoin network, offering a view on transactions aggregated by entities, i.e., by individuals, companies, or other groups actively using Bitcoin. ...

    Abstract We present BitConduite, a visual analytics approach for explorative analysis of financial activity within the Bitcoin network, offering a view on transactions aggregated by entities, i.e., by individuals, companies, or other groups actively using Bitcoin. BitConduite makes Bitcoin data accessible to nontechnical experts through a guided workflow around entities analyzed according to several activity metrics. Analyses can be conducted at different scales, from large groups of entities down to single entities. BitConduite also enables analysts to cluster entities to identify groups of similar activities as well as to explore characteristics and temporal patterns of transactions. To assess the value of our approach, we collected feedback from domain experts.
    MeSH term(s) Benchmarking ; Commerce ; Financial Management ; Humans
    Language English
    Publishing date 2022-01-25
    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.2021.3070303
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book ; Online: Visualizing Information on Smartwatch Faces

    Islam, Alaul / He, Tingying / Bezerianos, Anastasia / Lee, Bongshin / Blascheck, Tanja / Isenberg, Petra

    A Review and Design Space

    2023  

    Abstract: We present a systematic review and design space for visualizations on smartwatches and the context in which these visualizations are displayed--smartwatch faces. A smartwatch face is the main smartwatch screen that wearers see when checking the time. ... ...

    Abstract We present a systematic review and design space for visualizations on smartwatches and the context in which these visualizations are displayed--smartwatch faces. A smartwatch face is the main smartwatch screen that wearers see when checking the time. Smartwatch faces are small data dashboards that present a variety of data to wearers in a compact form. Yet, the usage context and form factor of smartwatch faces pose unique design challenges for visualization. In this paper, we present an in-depth review and analysis of visualization designs for popular premium smartwatch faces based on their design styles, amount and types of data, as well as visualization styles and encodings they included. From our analysis we derive a design space to provide an overview of the important considerations for new data displays for smartwatch faces and other small displays. Our design space can also serve as inspiration for design choices and grounding of empirical work on smartwatch visualization design. We end with a research agenda that points to open opportunities in this nascent research direction. Supplementary material is available at: https://osf.io/nwy2r/.

    Comment: 13 pages, appendix
    Keywords Computer Science - Human-Computer Interaction
    Subject code 306
    Publishing date 2023-10-24
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Glanceable Visualization: Studies of Data Comparison Performance on Smartwatches.

    Blascheck, Tanja / Besancon, Lonni / Bezerianos, Anastasia / Lee, Bongshin / Isenberg, Petra

    IEEE transactions on visualization and computer graphics

    2018  

    Abstract: We present the results of two perception studies to assess how quickly people can perform a simple data comparison task for small-scale visualizations on a smartwatch. The main goal of these studies is to extend our understanding of design constraints ... ...

    Abstract We present the results of two perception studies to assess how quickly people can perform a simple data comparison task for small-scale visualizations on a smartwatch. The main goal of these studies is to extend our understanding of design constraints for smartwatch visualizations. Previous work has shown that a vast majority of smartwatch interactions last under 5 s. It is still unknown what people can actually perceive from visualizations during such short glances, in particular with such a limited display space of smartwatches. To shed light on this question, we conducted two perception studies that assessed the lower bounds of task time for a simple data comparison task. We tested three chart types common on smartwatches: bar charts, donut charts, and radial bar charts with three different data sizes: 7, 12, and 24 data values. In our first study, we controlled the differences of the two target bars to be compared, while the second study varied the difference randomly. For both studies, we found that participants performed the task on average in <300 ms for the bar chart, <220 ms for the donut chart, and in <1780 ms for the radial bar chart. Thresholds in the second study per chart type were on average 1.14-1.35× higher than in the first study. Our results show that bar and donut charts should be preferred on smartwatch displays when quick data comparisons are necessary.
    Language English
    Publishing date 2018-08-21
    Publishing country United States
    Document type Journal Article
    ISSN 1941-0506
    ISSN (online) 1941-0506
    DOI 10.1109/TVCG.2018.2865142
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Book ; Online: Visualizing information on watch faces

    Islam, Alaul / Bezerianos, Anastasia / Lee, Bongshin / Blascheck, Tanja / Isenberg, Petra

    A survey with smartwatch users

    2020  

    Abstract: People increasingly wear smartwatches that can track a wide variety of data. However, it is currently unknown which data people consume and how it is visualized. To better ground research on smartwatch visualization, it is important to understand the ... ...

    Abstract People increasingly wear smartwatches that can track a wide variety of data. However, it is currently unknown which data people consume and how it is visualized. To better ground research on smartwatch visualization, it is important to understand the current use of these representation types on smartwatches, and to identify missed visualization opportunities. We present the findings of a survey with 237 smartwatch wearers, and assess the types of data and representations commonly displayed on watch faces. We found a predominant display of health & fitness data, with icons accompanied by text being the most frequent representation type. Combining these results with a further analysis of online searches of watch faces and the data tracked on smartwatches that are not commonly visualized, we discuss opportunities for visualization research.
    Keywords Computer Science - Human-Computer Interaction
    Publishing date 2020-09-01
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Conference proceedings ; Online: A task-based view on the visual analysis of eye-tracking data

    Kurzhals, K. / Burch, M. / Blascheck, T. / Andrienko, Gennady / Andrienko, Natalia / Weiskopf, D.

    2017  

    Abstract: S.3-22 ... The visual analysis of eye movement data has become an emerging field of research leading to many new visualization techniques in recent years. These techniques provide insight beyond what is facilitated by traditional attention maps and gaze ... ...

    Abstract S.3-22

    The visual analysis of eye movement data has become an emerging field of research leading to many new visualization techniques in recent years. These techniques provide insight beyond what is facilitated by traditional attention maps and gaze plots, providing important means to support statistical analysis and hypothesis building. There is no single "all-in-one" visualization to solve all possible analysis tasks. In fact, the appropriate choice of a visualization technique depends on the type of data and analysis task. We provide a taxonomy of analysis tasks that is derived from literature research of visualization techniques and embedded in our pipeline model of eye-tracking visualization. Our task taxonomy is linked to references to representative visualization techniques and, therefore, it is a basis for choosing appropriate methods of visual analysis. We also elaborate on how far statistical analysis with eye-tracking metrics can be enriched by suitable visualization and visual analytics techniques to improve the extraction of knowledge during the analysis process.
    Keywords 005 ; 006 ; 629
    Subject code 306
    Language English
    Publishing country de
    Document type Conference proceedings ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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    Inter-library loan at ZB MED

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  6. Book ; Online: Visualizing and Analyzing Entity Activity on the Bitcoin Network

    Kinkeldey, Christoph / Fekete, Jean-Daniel / Blascheck, Tanja / Isenberg, Petra

    2019  

    Abstract: We present BitConduite, a visual analytics tool for explorative analysis of financial activity within the Bitcoin network. Bitcoin is the largest cryptocurrency worldwide and a phenomenon that challenges the underpinnings of traditional financial systems ...

    Abstract We present BitConduite, a visual analytics tool for explorative analysis of financial activity within the Bitcoin network. Bitcoin is the largest cryptocurrency worldwide and a phenomenon that challenges the underpinnings of traditional financial systems - its users can send money pseudo-anonymously while circumventing traditional banking systems. Yet, despite the fact that all financial transactions in Bitcoin are available in an openly accessible online ledger - the blockchain - not much is known about how different types of actors in the network (we call them entities) actually use Bitcoin. BitConduite offers an entity-centered view on transactions, making the data accessible to non-technical experts through a guided workflow for classification of entities according to several activity metrics. Other novelties are the possibility to cluster entities by similarity and exploration of transaction data at different scales, from large groups of entities down to a single entity and the associated transactions. Two use cases illustrate the workflow of the system and its analytic power. We report on feedback regarding the approach and the the software tool gathered during a workshop with domain experts, and we discuss the potential of the approach based on our findings.
    Keywords Computer Science - Human-Computer Interaction ; Computer Science - Computers and Society
    Subject code 005
    Publishing date 2019-12-17
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: VA²: A Visual Analytics Approach for // Evaluating Visual Analytics Applications.

    Blascheck, Tanja / John, Markus / Kurzhals, Kuno / Koch, Steffen / Ertl, Thomas

    IEEE transactions on visualization and computer graphics

    2016  Volume 22, Issue 1, Page(s) 61–70

    Abstract: Evaluation has become a fundamental part of visualization research and researchers have employed many approaches from the field of human-computer interaction like measures of task performance, thinking aloud protocols, and analysis of interaction logs. ... ...

    Abstract Evaluation has become a fundamental part of visualization research and researchers have employed many approaches from the field of human-computer interaction like measures of task performance, thinking aloud protocols, and analysis of interaction logs. Recently, eye tracking has also become popular to analyze visual strategies of users in this context. This has added another modality and more data, which requires special visualization techniques to analyze this data. However, only few approaches exist that aim at an integrated analysis of multiple concurrent evaluation procedures. The variety, complexity, and sheer amount of such coupled multi-source data streams require a visual analytics approach. Our approach provides a highly interactive visualization environment to display and analyze thinking aloud, interaction, and eye movement data in close relation. Automatic pattern finding algorithms allow an efficient exploratory search and support the reasoning process to derive common eye-interaction-thinking patterns between participants. In addition, our tool equips researchers with mechanisms for searching and verifying expected usage patterns. We apply our approach to a user study involving a visual analytics application and we discuss insights gained from this joint analysis. We anticipate our approach to be applicable to other combinations of evaluation techniques and a broad class of visualization applications.
    MeSH term(s) Adult ; Computer Graphics ; Eye Movements/physiology ; Female ; Humans ; Male ; Task Performance and Analysis ; User-Computer Interface ; Young Adult
    Language English
    Publishing date 2016-01
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1941-0506
    ISSN (online) 1941-0506
    DOI 10.1109/TVCG.2015.2467871
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Exploration Strategies for Discovery of Interactivity in Visualizations.

    Blascheck, Tanja / Vermeulen, Lindsay MacDonald / Vermeulen, Jo / Perin, Charles / Willett, Wesley / Ertl, Thomas / Carpendale, Sheelagh

    IEEE transactions on visualization and computer graphics

    2018  Volume 25, Issue 2, Page(s) 1407–1420

    Abstract: We investigate how people discover the functionality of an interactive visualization that was designed for the general public. While interactive visualizations are increasingly available for public use, we still know little about how the general public ... ...

    Abstract We investigate how people discover the functionality of an interactive visualization that was designed for the general public. While interactive visualizations are increasingly available for public use, we still know little about how the general public discovers what they can do with these visualizations and what interactions are available. Developing a better understanding of this discovery process can help inform the design of visualizations for the general public, which in turn can help make data more accessible. To unpack this problem, we conducted a lab study in which participants were free to use their own methods to discover the functionality of a connected set of interactive visualizations of public energy data. We collected eye movement data and interaction logs as well as video and audio recordings. By analyzing this combined data, we extract exploration strategies that the participants employed to discover the functionality in these interactive visualizations. These exploration strategies illuminate possible design directions for improving the discoverability of a visualization's functionality.
    MeSH term(s) Adolescent ; Adult ; Computer Graphics ; Female ; Fixation, Ocular/physiology ; Humans ; Image Processing, Computer-Assisted ; Internet ; Male ; Research Design ; User-Computer Interface ; Young Adult
    Language English
    Publishing date 2018-02-05
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1941-0506
    ISSN (online) 1941-0506
    DOI 10.1109/TVCG.2018.2802520
    Database MEDical Literature Analysis and Retrieval System OnLINE

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