Harnessing the Information Ecosystem with Wiki-based Visualization Dashboards

McKeon, Matt

doi:10.1109/tvcg.2009.148

Cited by 21 publications

(14 citation statements)

References 12 publications

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“…Similar approaches have proven to be beneficial in for instance software engineering [3] and social data analysis [18]. This is the essence of our "dashboard" approach to visualizations for learning that remedy the "blind driving" that often occurs on the side of teachers and learners alike.…”

Section: Use Case: Xmpp Chat Behaviormentioning

confidence: 99%

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Duval

2011

Proceedings of the 1st International Conference on Learning Analytics and Knowledge

247

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This paper will present the general goal of and inspiration for our work on learning analytics, that relies on attention metadata for visualization and recommendation. Through information visualization techniques, we can provide a dashboard for learners and teachers, so that they no longer need to "drive blind". Moreover, recommendation can help to deal with the "paradox of choice" and turn abundance from a problem into an asset for learning.

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Section: Use Case: Xmpp Chat Behaviormentioning

confidence: 99%

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Duval

2011

Proceedings of the 1st International Conference on Learning Analytics and Knowledge

247

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“…(see, for example, Figure 1). Furthermore, some research groups have explored the collaborative and participatory development of Web-based information presentation within the field of visual analytics [50]. …”

Section: Discussionmentioning

confidence: 99%

Web GIS in practice IX: a demonstration of geospatial visual analytics using Microsoft Live Labs Pivot technology and WHO mortality data

Boulos

Viangteeravat

Anyanwu

et al. 2011

International Journal of Health Geographics

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The goal of visual analytics is to facilitate the discourse between the user and the data by providing dynamic displays and versatile visual interaction opportunities with the data that can support analytical reasoning and the exploration of data from multiple user-customisable aspects. This paper introduces geospatial visual analytics, a specialised subtype of visual analytics, and provides pointers to a number of learning resources about the subject, as well as some examples of human health, surveillance, emergency management and epidemiology-related geospatial visual analytics applications and examples of free software tools that readers can experiment with, such as Google Public Data Explorer. The authors also present a practical demonstration of geospatial visual analytics using partial data for 35 countries from a publicly available World Health Organization (WHO) mortality dataset and Microsoft Live Labs Pivot technology, a free, general purpose visual analytics tool that offers a fresh way to visually browse and arrange massive amounts of data and images online and also supports geographic and temporal classifications of datasets featuring geospatial and temporal components. Interested readers can download a Zip archive (included with the manuscript as an additional file) containing all files, modules and library functions used to deploy the WHO mortality data Pivot collection described in this paper.

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“…In these web-based visualization systems, users are able to save bookmarks of specific views on a data set, and it is possible to add graphical annotations directly to the visualization. Dashiki [18] enables users to collaboratively build visualization dashboards with the help of a wikilike syntax and interactive editors. However, the aforementioned systems are not suitable for our tasks, since they do not support the interactive visualization of node-link diagrams in a web browser.…”

Section: Related Workmentioning

confidence: 99%

Harnessing WebGL and WebSockets for a Web-Based Collaborative Graph Exploration Tool

Zimmer

Kerren

2015

Engineering the Web in the Big Data Era

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Abstract. The advancements of web technologies in recent years made it possible to switch from traditional desktop software to online solutions. Today, people naturally use web applications to work together on documents, spreadsheets, or blogs in real time. Also interactive data visualizations are more and more shared in the web. They are thus easily accessible, and it is possible to collaboratively discuss and explore complex data sets. A still open problem in collaborative information visualization is the online exploration of node-link diagrams of graphs (or networks) in fields such as social sciences or systems biology. In this paper, we address challenges related to this research problem and present a client/server-based visualization system for the collaborative exploration of graphs. Our approach uses WebGL to render large graphs in a web application and provides tools to coordinate the analysis process of multiple users in synchronous as well as asynchronous sessions.

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Harnessing the Information Ecosystem with Wiki-based Visualization Dashboards

Cited by 21 publications

References 12 publications

Attention please!

Attention please!

Web GIS in practice IX: a demonstration of geospatial visual analytics using Microsoft Live Labs Pivot technology and WHO mortality data

Harnessing WebGL and WebSockets for a Web-Based Collaborative Graph Exploration Tool

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