iVoLVER: Interactive Visual Language for Visualization Extraction and Reconstruction

Gonzalo Gabriel Mendez; Miguel Nacenta; Sebastien Vandenheste

doi:10.1145/2858036.2858435

iVoLVER: Interactive Visual Language for Visualization Extraction and Reconstruction

Gonzalo Gabriel Mendez, Miguel Nacenta, Sebastien Vandenheste

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems
Place of Publication	New York
Publisher	ACM
Pages	4073-4085
Number of pages	13
ISBN (Print)	9781450333627
DOIs	https://doi.org/10.1145/2858036.2858435
Publication status	Published - 7 May 2016
Event	2016 CHI Conference on Human Factors in Computing Systems (CHI'16) - San Jose, CA, United States Duration: 7 May 2016 → 12 May 2016 http://chi2016.acm.org/wp/

Conference

Conference	2016 CHI Conference on Human Factors in Computing Systems (CHI'16)
Abbreviated title	CHI'16
Country/Territory	United States
City	San Jose, CA
Period	7/05/16 → 12/05/16
Internet address	http://chi2016.acm.org/wp/

Keywords

Information visualization
Visual information extraction
Visual languages for visualization
Visualization verification

Access to Document

10.1145/2858036.2858435Licence: Other

MendezNacentaVandenheste-iVoLVER
Copyright Owner/Authors 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2016), http://dx.doi.org/10.1145/2858036.2858435
Accepted author manuscript, 13.7 MBLicence: Other

Cite this

@inproceedings{9fd65bc18bac445291cbd25c5306e24f,

title = "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.",

keywords = "Information visualization, Visual information extraction, Visual languages for visualization, Visualization verification",

author = "Mendez, {Gonzalo Gabriel} and Miguel Nacenta and Sebastien Vandenheste",

year = "2016",

month = may,

day = "7",

doi = "10.1145/2858036.2858435",

language = "English",

isbn = "9781450333627 ",

pages = "4073--4085",

booktitle = "Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems",

publisher = "ACM",

address = "United States",

note = "2016 CHI Conference on Human Factors in Computing Systems (CHI'16), CHI'16 ; Conference date: 07-05-2016 Through 12-05-2016",

url = "http://chi2016.acm.org/wp/",

}

Mendez, GG, Nacenta, M & Vandenheste, S 2016, iVoLVER: Interactive Visual Language for Visualization Extraction and Reconstruction. in Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM, New York, pp. 4073-4085, 2016 CHI Conference on Human Factors in Computing Systems (CHI'16), San Jose, CA, California, United States, 7/05/16. https://doi.org/10.1145/2858036.2858435

TY - GEN

T1 - iVoLVER

T2 - 2016 CHI Conference on Human Factors in Computing Systems (CHI'16)

AU - Mendez, Gonzalo Gabriel

AU - Nacenta, Miguel

AU - Vandenheste, Sebastien

PY - 2016/5/7

Y1 - 2016/5/7

N2 - 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.

AB - 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.

KW - Information visualization

KW - Visual information extraction

KW - Visual languages for visualization

KW - Visualization verification

UR - http://ivolver.cs.st-andrews.ac.uk/

U2 - 10.1145/2858036.2858435

DO - 10.1145/2858036.2858435

M3 - Conference contribution

SN - 9781450333627

SP - 4073

EP - 4085

BT - Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

PB - ACM

CY - New York

Y2 - 7 May 2016 through 12 May 2016

ER -

iVoLVER: Interactive Visual Language for Visualization Extraction and Reconstruction

Abstract

Conference

Keywords

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