Sebastien Vandenheste

dblp:179/4646 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics
visualization authoring
0.212016
iVoLVER: Interactive Visual Language for Visualization Extraction and Reconstruction · CHI 2016
Visualization and visual analytics › visualization design
data transformation for visualization
0.112016
iVoLVER: Interactive Visual Language for Visualization Extraction and Reconstruction · CHI 2016

Methods — techniques the papers use, named apart from their topics

visual language design · 0.2pen and touch interaction · 0.2
YearPublicationVenuePosition
2016 iVoLVER: Interactive Visual Language for Visualization Extraction and Reconstruction
abstract
We present the design and implementation of iVoLVER, a tool that allows users to create visualizations without textual programming. iVoLVER is designed to enable flexible acquisition of many types of data (text, colors, shapes, quantities, dates) from multiple source types (bitmap charts, webpages, photographs, SVGs, CSV files) and, within the same canvas, supports transformation of that data through simple widgets to construct interactive animated visuals. Aside from the tool, which is web-based and designed for pen and touch, we contribute the design of the interactive visual language and widgets for extraction, transformation, and representation of data. We demonstrate the flexibility and expressive power of the tool through a set of scenarios, and discuss some of the challenges encountered and how the tool fits within the current infovis tool landscape.
Gonzalo Méndez 0002, Miguel A. Nacenta, Sebastien Vandenheste
CHI3