My Research Interests
My general research interests are in Information Visualization (Infovis), Human/Computer Interaction (HCI), and Web services (WS) & N-Tier architectures.
Email Research
I conducted some research on Email in the frame of the DLM 3.0 project. The project’s goal was to improve email communications in enterprises, by understanding current usages and their limits, and improving current email interactions and visualizations.
Shift-Box
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Shift-Box: Shif-Box adds a visual overlay on top of the INBOX, similar as video control players. It lets users to play, pause and replay their emails the way they arrived. The add-on has been fully reviewed by Mozilla Thunderbird and is now available on the add-ons website. It’s been dowloaded by +1000 times and has +100 users. Publications: [VPH10] Video: [Vid02] Software: [Soft02] |
Email digests
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Email digests: A compact graphical representation of multiple emails Namely, an email digest is the compact representation of a set of emails into one single email. We developped a system that generates digests which includes data visualizations such as word clouds, meeting summary or communication graphs. Those digests can effectively reduce repetition and support collaborative visual analysis. Publications: [VPH11] [VMR11] Software: [Soft01] |
Thesis projects
During my phd, I developed the following applications, based on VizOD – A Service-Oriented platform to assist users, designers and developers to create new and interactive applications, based on Web-Services.
Applications
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mashviz: A mashup-like interface to compose Information Visualization Web ServicesOur contribution is a web-based interface, to create visualization flows that can be edited and shared, between actors within communities. We detail a real case study where programmers, designers and users successfully worked together to quickly design and improve an interactive image visualization interface, based on images similarities. Publications: [VR09b] [VR09d] |
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VizOD+GE: Mapping Visualization on-demand onto a Virtual Globe Interactive environments lack of attractiveness and sex-appeal. While nowadays so many digital arts are available, they have not been included in navigation processes yet. In this paper we suggest to include both artistic and inspiring depictions of data, while proposing an interactive query environment. We present our visualization of the InfoVis 2007 contest data set, focusing particularly on movies rated by users. Our contribution is twofold. Firstly, we extend the contest data set with individual user ratings on movies and we store data in a relational database, allowing SQL-like queries. Secondly, we support multi-scale analysis of query results based on graphical representation of data. This allows high-level analysis of query results and detailed-analysis of specific results by zooming in the data of interest, filtering and getting details on demand. Our proposal incorporates post-processing visualization and hijacking geo-spatial environments in order to explore data. Our approach distinguishes two main phases: (i) construction of a relational database about movies and ratings, (ii) development of an interactive query environment that presents query results in an innovative geo-spatial-like way. Publication: [VP07]
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MosaiZ: Making image mosaics interactive to explore large image collections”
MosaiZ is a pure content-based interaction model to make image mosaics interactive and infinitely zoomable. A MosaiZ is a non-linear interaction space, where users can select a source image that will become the target image, and so on. Publication: [VR09]
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metaConf: Building a comprehensive scientific conference dataset |
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POSvis: Exploring Name Entities in Literary Text CollectionsPOSViz is an interface to support humanities scholars in exploring and characterizing name entities in literary text collections. Users can interactively select name entities and visualize tagclouds or relationships to other entities based on a vicinity (same sentence, paragraph or chapter). Tag clouds attributes (words order, size, color, ..) can interactively be bound to words occurrences, frequency or order of appearance, in order to better understand entities surrounding words. Auto-organizing network attributes (size of nodes, colors, links, ..) can also be interactively bound to name entities (according to vicinity, number of co-occurrences, ..), but this time to better understand relationships between entities. |