steveharoz / open-access-vis Goto Github PK

See comment: http://steveharoz.com/blog/2017/open-access-vis/#comment-3577

I openly posted a preprint PDF of our paper "Perceptual Biases in Font Size as a Data Encoding":
http://vialab.science.uoit.ca/wp-content/papercite-data/pdf/shi2017fontsize.pdf

Will ask Eric about posting the data.

Paper: Orko: Facilitating Multimodal Interaction for Visual Network Exploration and Analysis
Arjun Srinivasan, John Stasko
5:15-5:35 PM Thursday 301-D

URL: http://arjun010.github.io/static/papers/orko-infovis-17.pdf
Teaser: http://arjun010.github.io/static/images/orko_teaser.jpg

It's pretty hard to edit the CSV online because it's difficult to match keys and values. A yaml file would be great! If you use jekyll, you could even read the data directly and the page could work without javascript. See https://jekyllrb.com/docs/datafiles/

Wait on TVCG

"2017 2018" in header

The header is bigger than I'd prefer as is. Might not have a choice but to add another row.

Dear Steve,

thank you so much for this service! I have finally added all information about this project on OSF.io. Would you kindly include the relevant URIs?

• All data: https://osf.io/rdktg/
• Paper (PDF): https://mfr.osf.io/render?url=https://osf.io/td973/?action=download%26mode=render
• Supplementary materials (PDF): https://mfr.osf.io/render?url=https://osf.io/e8dmp/?action=download%26mode=render
• Additional explanations: https://mfr.osf.io/render?url=https://osf.io/ygd6m/?action=download%26mode=render

Hope that I am using this service correcetly---this is my first project on OSF, inspired by your initiative. Thanks for your efforts!

Best,
Bastian

Thanks Steve, that's an amazing initiative. And I see the community is engaged and contributing, so well done! I'm trying to not be ranked first in your chart-of-shame anymore... So, here is the info for a first paper:

Title:
MyBrush: Brushing and Linking with Personal Agency

Abstract:
We extend the popular brushing and linking technique by incorporating personal agency in the interaction. We first map existing research related to brushing and linking into a design space that deconstructs the interaction technique into three components: source (what is being brushed), link (the expression of relationship between source and target), and target (what is revealed as related to the source). Based on the generative power of this design space, we present MyBrush, a unified interface that offers personal agency over brushing and linking by giving people the flexibility to configure the source, link, and target of multiple brushes. The results of three focus groups demonstrate that people with different backgrounds leveraged personal agency in different ways, including performing complex tasks and showing links explicitly. We reflect on these results, paving the way for future research on the role of personal agency in information visualization.

thumbnail:

Other columns (note that everything is available on the project page: http://innovis.cpsc.ucalgary.ca/supplemental/MyBrush/):
AuthorPDF
http://innovis.cpsc.ucalgary.ca/supplemental/MyBrush/2018_VIS_mybrush.pdf

Abstract
We extend the popular brushing and linking technique by incorporating personal agency in the interaction. We map existing research related to brushing and linking into a design space that deconstructs the interaction technique into three components: source (what is being brushed), link (the expression of relationship between source and target), and target (what is revealed as related to the source). Using this design space, we created MyBrush, a unified interface that offers personal agency over brushing and linking by giving people the flexibility to configure the source, link, and target of multiple brushes. The results of three focus groups demonstrate that people with different backgrounds leveraged personal agency in different ways, including performing complex tasks and showing links explicitly. We reflect on these results, paving the way for future research on the role of personal agency in information visualization.

ExplanationPage
http://innovis.cpsc.ucalgary.ca/supplemental/MyBrush/

SourceMaterials
http://innovis.cpsc.ucalgary.ca/supplemental/MyBrush/

Video
https://www.youtube.com/watch?v=1iAtPhWEV9I

Cheers,
-Charles

That's two!

Title:
Assessing the Graphical Perception of Time and Speed on 2D+Time Trajectories

Abstract:
We empirically evaluate the extent to which people perceive non-constant time and speed encoded on 2D paths. In our graphical perception study, we evaluate nine encodings from the literature for both straight and curved paths. Visualizing time and speed information is a challenge when the x and y axes already encode other data dimensions, for example when plotting a trip on a map. This is particularly true in disciplines such as time-geography and movement analytics that often require visualizing spatio-temporal trajectories. A common approach is to use 2D+time trajectories, which are 2D paths for which time is an additional dimension. However, there are currently no guidelines regarding how to represent time and speed on such paths. Our study results provide InfoVis designers with clear guidance regarding which encodings to use and which ones to avoid; in particular, we suggest using color value to encode speed and segment length to encode time whenever possible.

thumbnail:

Again, everything is available on the project page: http://innovis.cpsc.ucalgary.ca/supplemental/2DTimeTrajectories/):

AuthorPDF
http://innovis.cpsc.ucalgary.ca/supplemental/2DTimeTrajectories/2018_VIS_assessing_graphical_perception.pdf

ExplanationPage
http://innovis.cpsc.ucalgary.ca/supplemental/2DTimeTrajectories/

Experiment Data
http://innovis.cpsc.ucalgary.ca/supplemental/2DTimeTrajectories/#study

Video
https://www.youtube.com/watch?v=OGccwtpg8JI

-Charles

• pdf
• materials
• data
• explanatory page

Hi Steve, thank you.

I have a few changes to my paper. Could you update it?

Paper Title: Taking Word Clouds Apart: An Empirical Investigation of the Design Space for Keyword Summaries

First Author: Cristian Felix

Fix authors order to :Cristian Felix, Steven Franconeri, Enrico Bertini
Add Explanation Page: https://nyuvis.github.io/word-cloud/

Thank You

New URL for material and code and data:

1. A Workflow for Visual Diagnostics of Binary Classifiers using Instance-Level Explanations
2. Paper URL: https://arxiv.org/abs/1705.01968

GitHub page: https://github.com/nyuvis/explanation_explorer

Better thumbnail:

Thanks!

• Prefer explanation over 30s "talk advertisement"
• Handle youtube and vimeo
• Load at the end and make sure page isn't sluggish. Maybe load only on expand?

Session: InfoVis Graphs and Paths
THURSDAY, OCTOBER 5
4:15pm-5:55pm
Room: 301-D

Paper: What Would a Graph Look Like in This Layout? A Machine Learning Approach to Large Graph Visualization
Authors: Oh-Hyun Kwon, Tarik Crnovrsanin, Kwan-Liu Ma

A supplementary material website of our paper is available at http://graphvis.net/wgl

load late

They're posted on https://www.computer.org/csdl/trans/tg/preprint/index.html

TODO: lookup papers and add DOIs to spreadsheet

• VISAP (done by Angus)
• others...
• Link from main page
• Workshop html
• Generalize code

Paper: "The Anchoring Effect in Decision-Making with Visual Analytics" VAST 2017, Theory and Analysis Process on Thursday

Pdf: https://github.com/wesslen/vast2017-anchoringeffect/raw/master/anchorbias.pdf
GitHub: https://github.com/wesslen/vast2017-anchoringeffect

• includes code, raw data (csv, json), abstract and explanations.
  Thumbnail: https://github.com/wesslen/vast2017-anchoringeffect/raw/master/img/anchoring_isaac.png

Thanks for organizing the materials!

Let me know if you have any questions.

Title:
Using Gap Charts to Visualize the Temporal Evolution of Ranks and Scores

Thumbnail:

PDF:
http://charles.perin.free.fr/data/pub/gapchart.pdf

Abstract:
We present Gap Charts, a novel class of line charts designed for visualizing the evolution of rankings over time, with a particular focus on sports data. Gap Charts show entries, e. g., teams participating in a competition, that are ranked over time according to a performance metric like a growing number of points or a score. The main advantages of Gap Charts are that 1) tied entries never overlap—only changes in rank generate limited overlap between time-steps; and 2) gaps between entries show the magnitude of their score difference. We evaluate the effectiveness of Gap Charts for performing different types of tasks, and find that they outperform standard time-dependent ranking visualizations for tasks that involve identifying and understanding evolutions in both ranks and scores. Finally, we show that Gap Charts are a generic and scalable class of line charts by applying them to a variety of different datasets.

I need someone to help collect the data from workshops. Let me know if anyone's interested.

• Locked thumbnail
• Hide time, links, & extra
• No expand
• Text

Completely hidden, maybe?

Clustervision: Visual Supervision of Unsupervised Clustering
Author PDF: http://perer.org/papers/adamPerer-Clustervision-VAST2017.pdf
Teaser/thumbnail image: http://perer.org/img/clustervision.png

Waiting on conference schedule

Our paper is on bioRxiv since the submission deadline, including the revision:

DOI: 10.1101/123588
URL: http://www.biorxiv.org/content/early/2017/07/09/123588

Not sure what criteria is applied but I think bioRxiv is a reliable open access repository.

Also, all the data we used is publicly available too:

https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE63525

(GEO is one of the two major data repositories for genomic data)

The config for loading this demo (and more) is open-source too:

https://gist.github.com/flekschas/8b0163f25fd4ffb067aaba2a595da447

PS: Thanks for pulling this list together!

Only show explanation/demo/video if pdf is on reliable source

https://twitter.com/FILWD/status/901933698865618944

Hi Steve,

This project is really great and thanks a lot for your contribution!

Our paper has some additional information and I'm wondering if you could help update it.

Paper Title: SkyLens: Visual Analysis of Skyline on Multi-dimensional Data
First Author: Xun Zhao

Information to be added:
Material link: zhaoxun.me/skylens/
Explanation link: http://vis.cse.ust.hk/skylens/

Thank you again!

Best,
Yanhong

Dear Steve,

Thank you for your efforts for the good of the community! I really like the initiative of the "Open Access VIS". I have upload related materials to the OSF. The URLs are listed below:

ReviewVenue: VAST

PublicationVenue: VAST17

Title: Understanding Hidden Memories of Recurrent Neural Networks

Authors: Yao Ming, Shaozu CAO, Ruixiang Zhang, Zhen LI, Yuanzhe Chen, Yangqiu Song, Huamin Qu

AuthorPDF: https://mfr.osf.io/render?url=https://osf.io/f36tb/?action=download%26mode=render

ExplanationPage: http://www.myaooo.com/rnnvis

SourceMaterials: http://github.com/myaooo/rnnvis

Data: http://www.myaooo.com/rnnvis

Video: https://www.youtube.com/watch?v=0QFDNLdQ6_w

Not sure if the following information is useful:

Supplement Material: https://mfr.osf.io/render?url=https://osf.io/7grp8/?action=download%26mode=render

Teaser Image (400x300): https://mfr.osf.io/render?url=https://osf.io/zu2nh/?action=download%26mode=render

Again, thank you for your efforts!

Best,
Yao

Pull more directly from the COS badges. Also, clarify that "data" means "raw measurements from the article's experiment", not other people's datasets that this article uses.