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  1. Book ; Online: Chapter Topological Visualisation Techniques for Volume Multifield Data

    Thomas, Dean P. / Hands, Simon / Borgo, Rita / Laramee, Robert S.

    2019  

    Keywords Graphics programming ; indirect volume rendering, topology driven visualisation, multivariate visualisation, contour tree, Reeb graph, Reeb space, joint contour net, Reeb skeleton, scalar data
    Size 1 Online-Ressource
    Publisher InTechOpen
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021047549
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: The Impact of Social Media Use on Mental Health and Family Functioning Within Web-Based Communities in Saudi Arabia: Ethnographic Correlational Study.

    Alwuqaysi, Bdour / Abdul-Rahman, Alfie / Borgo, Rita

    JMIR formative research

    2024  Volume 8, Page(s) e44923

    Abstract: Background: In recent years, increasing numbers of parents, activists, and decision-makers have raised concerns about the potential adverse effects of social media use on both mental health and family functioning. Although some studies have indicated ... ...

    Abstract Background: In recent years, increasing numbers of parents, activists, and decision-makers have raised concerns about the potential adverse effects of social media use on both mental health and family functioning. Although some studies have indicated associations between social media use and negative mental health outcomes, others have found no evidence of mental health harm.
    Objective: This correlation study investigated the interplay between social media use, mental health, and family functioning. Analyzing data from 314 users, this study explores diverse mental health outcomes. The study places particular emphasis on the Saudi Arabian sample, providing valuable insights into the cultural context and shedding light on the specific dynamics of social media's impact on mental well-being and family dynamics in this demographic context.
    Methods: We collected data through a subsection of an anonymous web-based survey titled "The Effect of COVID-19 on Social Media Usage, Mental Health, and Family Functioning." The survey was distributed through diverse web-based platforms in Saudi Arabia, emphasizing the Saudi sample. The participants indicated their social media accounts and estimated their daily use. Mental health was assessed using the General Health Questionnaire and family functioning was evaluated using the Family Assessment Device Questionnaire. In addition, 6 mental health conditions (anxiety, self-esteem, depression, body dysmorphia, social media addiction, and eating disorders) were self-reported by participants.
    Results: The study demonstrates a pattern of frequent social media use, with a significant portion dedicating 3-5 hours daily for web-based activities, and most of the sample accessed platforms multiple times a day. Despite concerns about social media addiction and perceived unhealthiness, participants cited staying connected with friends and family as their primary motivation for social media use. WhatsApp was perceived as the most positively impactful, whereas TikTok was considered the most negative for our Saudi sample. YouTube, Instagram, and Snapchat users reported poorer mental health compared with nonusers of these platforms. Mental health effects encompassed anxiety and addiction, with age and gender emerging as significant factors. Associations between social media use and family functioning were evident, with higher social media quartiles correlating with a greater likelihood of mental health and unhealthy family functioning. Logistic regression identified age and gender as factors linked to affected mental health, particularly noting that female participants aged 25-34 years were found to be more susceptible to affected mental health. In addition, multivariable analysis identified age and social media use quartiles as factors associated with poor family functioning.
    Conclusions: This study examined how social media affects mental health and family functioning in Saudi Arabia. These findings underscore the need for culturally tailored interventions to address these challenges, considering diverse demographic needs. Recognizing these nuances can guide the development of interventions to promote digital well-being, acknowledging the importance of familial connections in Saudi society.
    Language English
    Publishing date 2024-01-16
    Publishing country Canada
    Document type Journal Article
    ISSN 2561-326X
    ISSN (online) 2561-326X
    DOI 10.2196/44923
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Interactive Hierarchical Timeline for Collaborative Text Negotiation in Historical Records.

    Cantareira, Gabriel D / Xing, Yiwen / Cole, Nicholas / Borgo, Rita / Abdul-Rahman, Alfie

    IEEE transactions on visualization and computer graphics

    2024  Volume PP

    Abstract: Visualizing event timelines for collaborative text writing is an important application for navigating and understanding such data, as time passes and the size and complexity of both text and timeline increase. They are often employed by applications such ...

    Abstract Visualizing event timelines for collaborative text writing is an important application for navigating and understanding such data, as time passes and the size and complexity of both text and timeline increase. They are often employed by applications such as code repositories and collaborative text editors. In this paper, we present a visualization tool to explore historical records of writing of legislative texts, which were discussed and voted on by an assembly of representatives. Our visualization focuses on event timelines from text documents that involve multiple people and different topics, allowing for observation of different proposed versions of said text or tracking data provenance of given text sections, while highlighting the connections between all elements involved. We also describe the process of designing such a tool alongside domain experts, with three steps of evaluation being conducted to verify the effectiveness of our design.
    Language English
    Publishing date 2024-05-02
    Publishing country United States
    Document type Journal Article
    ISSN 1941-0506
    ISSN (online) 1941-0506
    DOI 10.1109/TVCG.2024.3376406
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Visualizing Historical Book Trade Data: An Iterative Design Study with Close Collaboration with Domain Experts.

    Xing, Yiwen / Dondi, Cristina / Borgo, Rita / Abdul-Rahman, Alfie

    IEEE transactions on visualization and computer graphics

    2023  Volume PP

    Abstract: The circulation of historical books has always been an area of interest for historians. However, the data used to represent the journey of a book across different places and times can be difficult for domain experts to digest due to buried geographical ... ...

    Abstract The circulation of historical books has always been an area of interest for historians. However, the data used to represent the journey of a book across different places and times can be difficult for domain experts to digest due to buried geographical and chronological features within text-based presentations. This situation provides an opportunity for collaboration between visualization researchers and historians. This paper describes a design study where a variant of the Nine-Stage Framework [46] was employed to develop a Visual Analytics (VA) tool called DanteExploreVis. This tool was designed to aid domain experts in exploring, explaining, and presenting book trade data from multiple perspectives. We discuss the design choices made and how each panel in the interface meets the domain requirements. We also present the results of a qualitative evaluation conducted with domain experts. The main contributions of this paper include: 1) the development of a VA tool to support domain experts in exploring, explaining, and presenting book trade data; 2) a comprehensive documentation of the iterative design, development, and evaluation process following the variant Nine-Stage Framework; 3) a summary of the insights gained and lessons learned from this design study in the context of the humanities field; and 4) reflections on how our approach could be applied in a more generalizable way.
    Language English
    Publishing date 2023-10-23
    Publishing country United States
    Document type Journal Article
    ISSN 1941-0506
    ISSN (online) 1941-0506
    DOI 10.1109/TVCG.2023.3326923
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Reclaiming the Horizon: Novel Visualization Designs for Time-Series Data with Large Value Ranges.

    Braun, Daniel / Borgo, Rita / Sondag, Max / von Landesberger, Tatiana

    IEEE transactions on visualization and computer graphics

    2023  Volume 30, Issue 1, Page(s) 1161–1171

    Abstract: We introduce two novel visualization designs to support practitioners in performing identification and discrimination tasks on large value ranges (i.e., several orders of magnitude) in time-series data: (1) The order of magnitude horizon graph, which ... ...

    Abstract We introduce two novel visualization designs to support practitioners in performing identification and discrimination tasks on large value ranges (i.e., several orders of magnitude) in time-series data: (1) The order of magnitude horizon graph, which extends the classic horizon graph; and (2) the order of magnitude line chart, which adapts the log-line chart. These new visualization designs visualize large value ranges by explicitly splitting the mantissa m and exponent e of a value v=m·10
    Language English
    Publishing date 2023-12-25
    Publishing country United States
    Document type Journal Article
    ISSN 1941-0506
    ISSN (online) 1941-0506
    DOI 10.1109/TVCG.2023.3326576
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Measuring Effects of Spatial Visualization and Domain on Visualization Task Performance: A Comparative Study.

    Tandon, Sara / Abdul-Rahman, Alfie / Borgo, Rita

    IEEE transactions on visualization and computer graphics

    2022  Volume 29, Issue 1, Page(s) 668–678

    Abstract: Understanding one's audience is foundational to creating high impact visualization designs. However, individual differences and cognitive abilities influence interactions with information visualization. Different user needs and abilities suggest that an ... ...

    Abstract Understanding one's audience is foundational to creating high impact visualization designs. However, individual differences and cognitive abilities influence interactions with information visualization. Different user needs and abilities suggest that an individual's background could influence cognitive performance and interactions with visuals in a systematic way. This study builds on current research in domain-specific visualization and cognition to address if domain and spatial visualization ability combine to affect performance on information visualization tasks. We measure spatial visualization and visual task performance between those with tertiary education and professional profile in business, law & political science, and math & computer science. We conducted an online study with 90 participants using an established psychometric test to assess spatial visualization ability, and bar chart layouts rotated along Cartesian and polar coordinates to assess performance on spatially rotated data. Accuracy and response times varied with domain across chart types and task difficulty. We found that accuracy and time correlate with spatial visualization level, and education in math & computer science can indicate higher spatial visualization. Additionally, we found that motivational differences between domains could contribute to increased levels of accuracy. Our findings indicate discipline not only affects user needs and interactions with data visualization, but also cognitive traits. Our results can advance inclusive practices in visualization design and add to knowledge in domain-specific visual research that can empower designers across disciplines to create effective visualizations.
    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.2022.3209491
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Book ; Online: Reclaiming the Horizon

    Braun, Daniel / Borgo, Rita / Sondag, Max / von Landesberger, Tatiana

    Novel Visualization Designs for Time-Series Data with Large Value Ranges

    2023  

    Abstract: We introduce two novel visualization designs to support practitioners in performing identification and discrimination tasks on large value ranges (i.e., several orders of magnitude) in time-series data: (1) The order of magnitude horizon graph, which ... ...

    Abstract We introduce two novel visualization designs to support practitioners in performing identification and discrimination tasks on large value ranges (i.e., several orders of magnitude) in time-series data: (1) The order of magnitude horizon graph, which extends the classic horizon graph; and (2) the order of magnitude line chart, which adapts the log-line chart. These new visualization designs visualize large value ranges by explicitly splitting the mantissa m and exponent e of a value v = m * 10e . We evaluate our novel designs against the most relevant state-of-the-art visualizations in an empirical user study. It focuses on four main tasks commonly employed in the analysis of time-series and large value ranges visualization: identification, discrimination, estimation, and trend detection. For each task we analyse error, confidence, and response time. The new order of magnitude horizon graph performs better or equal to all other designs in identification, discrimination, and estimation tasks. Only for trend detection tasks, the more traditional horizon graphs reported better performance. Our results are domain-independent, only requiring time-series data with large value ranges.

    Comment: Preprint and Author Version of a Full Paper, accepted to the 2023 IEEE Visualization Conference (VIS)
    Keywords Computer Science - Human-Computer Interaction ; Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Graphics
    Subject code 306
    Publishing date 2023-07-18
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Book ; Online: The Development of Visualization Psychology Analysis Tools to Account for Trust

    Borgo, Rita / Edwards, Darren J

    2020  

    Abstract: Defining trust is an important endeavor given its applicability to assessing public mood to much of the innovation in the newly formed autonomous industry, such as artificial intelligence (AI),medical bots, drones, autonomous vehicles, and smart ... ...

    Abstract Defining trust is an important endeavor given its applicability to assessing public mood to much of the innovation in the newly formed autonomous industry, such as artificial intelligence (AI),medical bots, drones, autonomous vehicles, and smart factories [19].Through developing a reliable index or means to measure trust,this may have wide impact from fostering acceptance and adoption of smart systems to informing policy makers about the public atmosphere and willingness to adopt innovate change, and has been identified as an important indicator in a recent UK policy brief [8].In this paper, we reflect on the importance and potential impact of developing Visualization Psychology in the context of solving definitions and policy decision making problems for complex constructs such as "trust".
    Keywords Computer Science - Artificial Intelligence ; Computer Science - Human-Computer Interaction
    Publishing date 2020-09-28
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Development and Evaluation of Two Approaches of Visual Sensitivity Analysis to Support Epidemiological Modeling.

    Rydow, Erik / Borgo, Rita / Fang, Hui / Torsney-Weir, Thomas / Swallow, Ben / Porphyre, Thibaud / Turkay, Cagatay / Chen, Min

    IEEE transactions on visualization and computer graphics

    2022  Volume 29, Issue 1, Page(s) 1255–1265

    Abstract: Computational modeling is a commonly used technology in many scientific disciplines and has played a noticeable role in combating the COVID-19 pandemic. Modeling scientists conduct sensitivity analysis frequently to observe and monitor the behavior of a ... ...

    Abstract Computational modeling is a commonly used technology in many scientific disciplines and has played a noticeable role in combating the COVID-19 pandemic. Modeling scientists conduct sensitivity analysis frequently to observe and monitor the behavior of a model during its development and deployment. The traditional algorithmic ranking of sensitivity of different parameters usually does not provide modeling scientists with sufficient information to understand the interactions between different parameters and model outputs, while modeling scientists need to observe a large number of model runs in order to gain actionable information for parameter optimization. To address the above challenge, we developed and compared two visual analytics approaches, namely: algorithm-centric and visualization-assisted, and visualization-centric and algorithm-assisted. We evaluated the two approaches based on a structured analysis of different tasks in visual sensitivity analysis as well as the feedback of domain experts. While the work was carried out in the context of epidemiological modeling, the two approaches developed in this work are directly applicable to a variety of modeling processes featuring time series outputs, and can be extended to work with models with other types of outputs.
    MeSH term(s) Humans ; Pandemics ; COVID-19 ; Computer Graphics ; Computer Simulation ; Algorithms
    Language English
    Publishing date 2022-12-16
    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.2022.3209464
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: TimeNotes: A Study on Effective Chart Visualization and Interaction Techniques for Time-Series Data.

    Walker, James / Borgo, Rita / Jones, Mark W

    IEEE transactions on visualization and computer graphics

    2016  Volume 22, Issue 1, Page(s) 549–558

    Abstract: Collecting sensor data results in large temporal data sets which need to be visualized, analyzed, and presented. Onedimensional time-series charts are used, but these present problems when screen resolution is small in comparison to the data. This can ... ...

    Abstract Collecting sensor data results in large temporal data sets which need to be visualized, analyzed, and presented. Onedimensional time-series charts are used, but these present problems when screen resolution is small in comparison to the data. This can result in severe over-plotting, giving rise for the requirement to provide effective rendering and methods to allow interaction with the detailed data. Common solutions can be categorized as multi-scale representations, frequency based, and lens based interaction techniques. In this paper, we comparatively evaluate existing methods, such as Stack Zoom [15] and ChronoLenses [38], giving a graphical overview of each and classifying their ability to explore and interact with data. We propose new visualizations and other extensions to the existing approaches. We undertake and report an empirical study and a field study using these techniques.
    Language English
    Publishing date 2016-01
    Publishing country United States
    Document type Journal Article
    ISSN 1941-0506
    ISSN (online) 1941-0506
    DOI 10.1109/TVCG.2015.2467751
    Database MEDical Literature Analysis and Retrieval System OnLINE

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