Accessible images in computer science journals

23
Bruno Splendiani, Mireia Ribera Adaptabit Group University of Barcelona DSAI Conference 2013 - 13/11/2013

description

Presented at the “5th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion (DSAI).

Transcript of Accessible images in computer science journals

Page 1: Accessible images in computer science journals

Bruno Splendiani, Mireia Ribera

Adaptabit Group – University of Barcelona

DSAI Conference 2013 - 13/11/2013

Page 2: Accessible images in computer science journals

Introduction Our work Methodology Results Conclusions Further work

Bruno Splendiani (2013) – [email protected] 2

Page 3: Accessible images in computer science journals

Accessibility scientific literature published by computer science journals

Computer science researchers play an active role in digital accessibility research

Bruno Splendiani (2013) – [email protected] 3

Page 4: Accessible images in computer science journals

Many computer science subjects rely on visual resources such as graphs, diagrams and charts.

Visual content in computer science academic papers is a critical information source

Readers with visual impairments cannot access graphical information

Bruno Splendiani (2013) – [email protected] 4

Page 5: Accessible images in computer science journals

Bruno Splendiani (2013) – [email protected] 5

Sources: [1 -4]

Page 6: Accessible images in computer science journals

“If I can’t see the image I read its description”

Recommended by the Web Content Accessibility Guidelines

Incorporated to the publishing workflow guidelines of

Bruno Splendiani (2013) – [email protected] 6

Page 7: Accessible images in computer science journals

Readers

Access to the content

Publishers

Advantages in article retrieval

Fulfil accessibility regulations

Comply with social responsibility

Bruno Splendiani (2013) – [email protected] 7

Page 8: Accessible images in computer science journals

Analysis Do actual practices of image submission fulfil

basic recommendations on accessibility?

Proposal What should be done for including accessibility

practices and principles in the submission process of academic journals?

8Bruno Splendiani (2013) – [email protected]

Page 9: Accessible images in computer science journals

9Bruno Splendiani (2013) – [email protected]

Follow accessibility policy?

Submission policy and guidelines related to the visual content?

Follow international guidelines on image submission?

10 journals in computer science in JCR

Page 10: Accessible images in computer science journals

10Bruno Splendiani (2013) – [email protected]

Are figures “readable”?

Image format Color contrast and coding Label font type and size Minimum resolution Minimum dimensions

Do figures have alternative text?

Source: [4]

1 paper for each journal in PDF version

Page 11: Accessible images in computer science journals

11Bruno Splendiani (2013) – [email protected]

Page 12: Accessible images in computer science journals

The practices do not fulfill basic recommendations on accessibility

Images lack alternative descriptions

Lack of consistency between image submission policies and their application

12Bruno Splendiani (2013) – [email protected]

Page 13: Accessible images in computer science journals

The visual information of computer science articles is not accessible to people with visual disabilities

13Bruno Splendiani (2013) – [email protected]

Page 14: Accessible images in computer science journals

14Bruno Splendiani (2013) – [email protected]

Common set of international guidelines for image submission

universal accessibility improved

Easier graphical authoring: shared guidelines

Page 15: Accessible images in computer science journals

15Bruno Splendiani (2013) – [email protected]

Start from existing guidelines on image description

Page 16: Accessible images in computer science journals

16Bruno Splendiani (2013) – [email protected]

Some depth work done in common charts (bar, line, pie...)

ButNO clear foundation for describing

other types of images

The image is….It shows….Panel a shows..Panel b shows..Legend shows…

Page 17: Accessible images in computer science journals

17Bruno Splendiani (2013) – [email protected]

Currently computer science articles are not accessible to everybody

Accessibility of scientific papers and their figures should gain relevance in computer science research

Research in the field will improve image accessibility

Improve retrieval

Improve the efficiency of the submission process

Page 18: Accessible images in computer science journals

18Bruno Splendiani (2013) – [email protected]

Domain - specific ScienceTechnologyEngineeringMathematics

Graphic type - specificIllustrationDiagramPhotograph………

Page 19: Accessible images in computer science journals

19Bruno Splendiani (2013) – [email protected]

Adapted to the image role/function within the article

Support the article results?

Offer a visual example?

Show numerical data?

Emphasize special details?

Page 20: Accessible images in computer science journals

20Bruno Splendiani (2013) – [email protected]

In the context of all image-related textual information

Source: [5]

Page 21: Accessible images in computer science journals

21Bruno Splendiani (2013) – [email protected]

Linked to the publishing workflow

Supporting formats

Recommendations in submission system

Automatic image check (contrast, resolution, font size..)

Alt text check

Page 22: Accessible images in computer science journals

Questions?

[email protected]

22Bruno Splendiani (2013) – [email protected]

Page 23: Accessible images in computer science journals

1. Zargar, S.T., J. Joshi, y D. Tipper. «A Survey of Defense Mechanisms Against Distributed Denial of Service (DDoS) Flooding Attacks». IEEE Communications Surveys Tutorials, Volume PP Issue 99 (2013):1 -24 .

2. Wu, Gin-Der, y Pang-Hsuan Huang. «A Vectorization-Optimization-Method-Based Type-2 Fuzzy Neural Network for Noisy Data Classification». IEEE Transactions on Fuzzy Systems 21, n.o 1 (2013): 1-15.

3. Toews, Matthew and William M. Wells III. «Efficient and robust model-to-image alignment using 3D scale-invariant features». Medical Image Analysis 17, n.o 3 :271-282.

4. Chen, Zhihu, Kwan-Yee K. Wong, Yasuyuki Matsushita, y Xiaolong Zhu. «Depth from Refraction Using a Transparent Medium with Unknown Pose and Refractive Index». Int. J. Comput. Vision 102, n.o 1-3 (2013): 3–17.

5. Splendiani, B., Ribera,M. « Do physicians make their articles readable for their blind or low-vision patients? An analysis of current image processing practices in biomedical journals from the point of view of accessibility» (under review)

23Bruno Splendiani (2013) – [email protected]