2017
Turton, Terece; Berres, Anne; Rogers, David; Ahrens, James
ETK: An Evaluation Toolkit for Visualization User Studies Proceedings Article
In: Kozlikova, Barbora; Schreck, Tobias; Wischgoll, Thomas (Ed.): EuroVis 2017 – Short Papers, The Eurographics Association, 2017, ISBN: 978-3-03868-043-7.
Abstract | Links | BibTeX | Tags: User Evaluation
@inproceedings{Turton2017etk,
title = {ETK: An Evaluation Toolkit for Visualization User Studies},
author = {Terece Turton and Anne Berres and David Rogers and James Ahrens},
editor = {Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll},
url = {http://datascience.dsscale.org/wp-content/uploads/2017/08/ETKAnEvaluationToolkitforVisualizationUserStudies.pdf},
doi = {10.2312/eurovisshort.20171131},
isbn = {978-3-03868-043-7},
year = {2017},
date = {2017-01-01},
booktitle = {EuroVis 2017 – Short Papers},
publisher = {The Eurographics Association},
abstract = {This paper describes the design and features of the Evaluation Toolkit (ETK), a set of JavaScript/HTML/CSS modules leveraging the Qualtrics JavaScript API that can be used to automate image-based perceptual user evaluation studies. Automating the presentation of the images can greatly decrease the time to build and implement an evaluation study while minimizing the length and complexity of a study built within Qualtrics, along with decreasing the possibility of error in image presentation. The ETK modules each focus on automating a specific psychophysical or experimental approach. Because each module is an extension or plug-in to a Qualtrics question, the resultant study can be easily used in a laboratory setting or in a crowdsourced approach. We present the open source repository of ETK with the six modules that currently make up the toolkit and invite the community to explore, utilize, and contribute to the toolkit.},
keywords = {User Evaluation},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper describes the design and features of the Evaluation Toolkit (ETK), a set of JavaScript/HTML/CSS modules leveraging the Qualtrics JavaScript API that can be used to automate image-based perceptual user evaluation studies. Automating the presentation of the images can greatly decrease the time to build and implement an evaluation study while minimizing the length and complexity of a study built within Qualtrics, along with decreasing the possibility of error in image presentation. The ETK modules each focus on automating a specific psychophysical or experimental approach. Because each module is an extension or plug-in to a Qualtrics question, the resultant study can be easily used in a laboratory setting or in a crowdsourced approach. We present the open source repository of ETK with the six modules that currently make up the toolkit and invite the community to explore, utilize, and contribute to the toolkit.
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1.
Turton, Terece; Berres, Anne; Rogers, David; Ahrens, James
ETK: An Evaluation Toolkit for Visualization User Studies Proceedings Article
In: Kozlikova, Barbora; Schreck, Tobias; Wischgoll, Thomas (Ed.): EuroVis 2017 – Short Papers, The Eurographics Association, 2017, ISBN: 978-3-03868-043-7.
@inproceedings{Turton2017etk,
title = {ETK: An Evaluation Toolkit for Visualization User Studies},
author = {Terece Turton and Anne Berres and David Rogers and James Ahrens},
editor = {Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll},
url = {http://datascience.dsscale.org/wp-content/uploads/2017/08/ETKAnEvaluationToolkitforVisualizationUserStudies.pdf},
doi = {10.2312/eurovisshort.20171131},
isbn = {978-3-03868-043-7},
year = {2017},
date = {2017-01-01},
booktitle = {EuroVis 2017 – Short Papers},
publisher = {The Eurographics Association},
abstract = {This paper describes the design and features of the Evaluation Toolkit (ETK), a set of JavaScript/HTML/CSS modules leveraging the Qualtrics JavaScript API that can be used to automate image-based perceptual user evaluation studies. Automating the presentation of the images can greatly decrease the time to build and implement an evaluation study while minimizing the length and complexity of a study built within Qualtrics, along with decreasing the possibility of error in image presentation. The ETK modules each focus on automating a specific psychophysical or experimental approach. Because each module is an extension or plug-in to a Qualtrics question, the resultant study can be easily used in a laboratory setting or in a crowdsourced approach. We present the open source repository of ETK with the six modules that currently make up the toolkit and invite the community to explore, utilize, and contribute to the toolkit.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper describes the design and features of the Evaluation Toolkit (ETK), a set of JavaScript/HTML/CSS modules leveraging the Qualtrics JavaScript API that can be used to automate image-based perceptual user evaluation studies. Automating the presentation of the images can greatly decrease the time to build and implement an evaluation study while minimizing the length and complexity of a study built within Qualtrics, along with decreasing the possibility of error in image presentation. The ETK modules each focus on automating a specific psychophysical or experimental approach. Because each module is an extension or plug-in to a Qualtrics question, the resultant study can be easily used in a laboratory setting or in a crowdsourced approach. We present the open source repository of ETK with the six modules that currently make up the toolkit and invite the community to explore, utilize, and contribute to the toolkit.