VisSnippets: A Web-Based System for Impromptu Collaborative Data Exploration on Large Displays (original) (raw)
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Co-Located Collaborative Visual Analytics around a Tabletop Display
IEEE Transactions on Visualization and Computer Graphics, 2012
Co-located collaboration can be extremely valuable during complex visual analytics tasks. We present an exploratory study of a system designed to support collaborative visual analysis tasks on a digital tabletop display. Fifteen participant pairs employed Cambiera, a visual analytics system, to solve a problem involving 240 digital documents. Our analysis, supported by observations, system logs, questionnaires, and interview data, explores how pairs approached the problem around the table. We contribute a unique, rich understanding of how users worked together around the table and identify eight types of collaboration styles that can be used to identify how closely people work together while problem solving. We show how the closeness of teams' collaboration and communication influenced how they performed on the task overall. We further discuss the role of the tabletop for visual analytics tasks and derive design implications for future co-located collaborative tabletop problem solving systems.
CoSpaces: Workspaces to Support Co-located Collaborative Visual Analytics
By design, interactive tabletops and surfaces provide numerous opportunities for data visualization and analysis. In information visualization, scientific visualization, and visual analytics, useful insights primarily emerge from interactive data exploration. Nevertheless, interaction research in these domains has largely focused on mouse-based interactions in the past, with little research on how interactive data exploration can benefit from interactive surfaces. These proceedings represent the results of the DEXIS 2011 Workshop on Data Exploration for Interactive Surfaces. It was held in conjunction with the ACM International Conference on Tabletops and Interactive Surfaces (ITS) in Kobe, Japan on November 13, 2011. The introduction summarizes the published papers of the workshop and points to results from workshop discussions. The remainder of the proceedings is made up of the position papers submitted to the workshop.
Data-Intensive Remote Collaboration using Scalable Visualizations in Heterogeneous Display Spaces
2016
He also provided inspiration and support in my studies to help discover my true passion in Computer Science. A special thanks goes to Dr. Luc Renambot, whom I collaborated closely with on both research and development. I would also like to thank the rest of my dissertation committee for providing insight and feedback from the time I was developing a research question until the time it culminated with analyzing the results of evaluating studies. Additionally, I must give a big thank you to the entire Electronic Visualization Laboratory. The students, faculty, and staff have been incredibly supportive. I feel lucky to have worked with each one of you, and I will always remain a member of the EVL family. TM iii CONTRIBUTION OF AUTHORS Chapter 1 introduces an active area of research to which my dissertation makes its contributions. Chapter 2 provides a background about the technologies I used during my research, and includes portions of a published manuscript (Marrinan et al., SAGE2: A New Approach for Data Intensive Collaboration Using Scalable Resolution Shared Displays, 2014) for which I was the primary author. Chapter 3 is a literature review of related works that frame my dissertation within the scope of research in the field of computer supported cooperative work. Chapter 4 details my research methods for implementation and evaluation of a new technology, as well as outlines the main questions my dissertation sought to answer. Chapter 5 presents the results of user studies I conducted and provides insight into answering my research questions. Chapter 6 concludes my thesis by summarizing the knowledge that was gained and providing future area to expand upon my research. My advisor and chair, Andrew Johnson, along with the rest of my committee contributed valuable feedback during the editing of this document. iv PREFACE As a graduate student at the Electronic Visualization Laboratory, my research interests include visualization, human-computer interaction, and computer-supported cooperative work. The main research topic I aimed to contribute toward is how to improve collaboration across distance, especially when the technology is heterogeneous at various locations. Video and teleconferencing systems have been widely adopted in research and industry for communication between individuals or groups at various locations. The next generation of communication systems will enable real-time data-conferencing, where applications and their respective data are shared along with audio and video. Although some data-conferencing abilities have started being integrated into existing software, they are generally still in the early stages and do not allow for real-time collaboration on unrestricted data types. v
Analysts are increasingly encountering datasets that are larger and more complex than ever before. Effectively exploring such datasets requires collaboration between multiple analysts, who more often than not are distributed in time or in space. Mixed-presence groupware provide a shared workspace medium that supports this combination of colocated and distributed collaboration. However, collaborative visualization systems for such distributed settings have their own cost and are still uncommon in the visualization community. We present Hugin, a novel layer-based graphical framework for this kind of mixed-presence synchronous collaborative visualization over digital tabletop displays. The design of the framework focuses on issues like awareness and access control, while using information visualization for the collaborative data exploration on network-connected tabletops. To validate the usefulness of the framework, we also present examples of how Hugin can be used to implement new visualizations supporitng these collaborative mechanisms.
Coconuttrix: Collaborative retrofitting for information visualization
2009
I n human-computer interaction, much of the literature on designing and evaluating colocated collaboration revolves around dedicated technology in the form of touch-sensitive displays, input devices, or software. Each of these has advantages for certain collaboration environments and situations. Adapting an application to colocated collaboration might appear to require using specialized hardware and reimplementing the application, for example, to ■ scale to specific presentation spaces such as large highresolution wall or tabletop displays, ■ employ head-mounted displays or CAVEs (Cave Automatic Virtual Environments), or ■ react to other forms of input such as direct touch, gloves, or pens.
2010
Analysts are increasingly encountering datasets that are larger and more complex than ever before. Effectively exploring such datasets requires collaboration between multiple analysts, who more often than not are distributed in time or in space. Mixed-presence groupware provide a shared workspace medium that supports this combination of colocated and distributed collaboration. However, collaborative visualization systems for such distributed settings have their own cost and are still uncommon in the visualization community. We present Hugin, a novel layer-based graphical framework for this kind of mixed-presence synchronous collaborative visualization over digital tabletop displays. The design of the framework focuses on issues like awareness and access control, while using information visualization for the collaborative data exploration on network-connected tabletops. To validate the usefulness of the framework, we also present examples of how Hugin can be used to implement new visualizations supporitng these collaborative mechanisms.
Proceedings of the 16th International Conference on 3D Web Technology - Web3D '11, 2011
Collaborative visualization is becoming more and more important, given the distributed and mobile nature of teams. Current visualization systems are often still monolithic and not flexible enough for todays users; they have not kept pace with improvements in other areas of information technology (mobile networking, compute-ondemand). With this in mind, we review current visualization systems (covering CAE collaborative visualization, multi-user online games and solutions to bring collaboration to existing applications / processes) and contrast against the latest related advances in technology: new hardware platforms, availability of cloud computing, mobile network capabilities and web browser functionality. We then analyse how these advances could impact on future collaborative visualization systems and discuss potential areas of improvement to existing systems.
A Collaborative Extension of a Visualization System
Distributed Frameworks for Multimedia Applications, 2005
This paper presents an extension of the single-user scientific visualization system ZoomIn to a collaborative system. We discuss the principal challenges of remote collaboration in the case of scientific visualization and present the solutions realized for ZoomIn. The main issues identified include the support of slow/fast network connections, portability, ease-of-use, privacy, configuration of the working mode and permissions. We describe