A3 Peer Evaluation
Use this form to submit a single peer evaluation for A3. Please take care to complete the form carefully and completely. Remember that you must submit four separate forms, one for each assigned visualization (assignments are listed on Canvas). For more details, see https://courses.cs.washington.edu/courses/cse412/21wi/a3b.html

This assignment is an opportunity to both (a) develop skills to effectively evaluate and critically analyze visualization designs, and (b) help guide subsequent efforts by your peers to improve project quality and visualization design across the class. An important goal for this assignment is to understand how visualization designs might aim to intentionally (or unintentionally) mislead the viewer, so as to provide you with more confidence and skepticism when interpreting visualizations in the wild.

Be sure to share positive feedback on effective aspects, critical (but respectful!) feedback on what might be improved, and more wild (even half-baked) ideas your fellow students might explore in subsequent design iterations or future work. Include as many pieces of feedback as you would like in each box (do your best to fully engage with the design and exhaust all areas of potential feedback).

You cannot edit the form after submission. If you need to add additional details to your review, please email the course staff at cse412-staff@cs.washington.edu
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Your Name *
Include your first and last name.
Reviewed Project ID *
The ID for the visualization you are evaluating. This ID string should exactly match the ID string assigned to you on Canvas. Typos requiring manual correction by the course staff may result in point deductions.
Critical Reflections
Begin by critically reading the visualization and try to determine whether it is an ethical or a deceptive visualization design. Note what you discover and learn about the data set, and what properties lead you to a particular conclusion. You will be assigned at least one ethical and one deceptive visualization to review; the other two visualizations will be randomly assigned.
Is this an ethical or a deceptive visualization? *
Observations and rationale for your decision. *
Note what you discover about the data set, and what properties lead you to a particular conclusion.
Visual Encoding Review
Are expressive and effective visual encodings applied? How well do they reveal the most important features or trends of the underlying data? Is critical data easily seen, or is it somehow hidden? Is the target audience likely to understand the visualization? How clear and transparent is the design?
I Like... *
Praise for design ideas and/or well-executed implementation details.
I Wish... *
Constructive statements on how the design might be improved or further refined.
What If... *
Suggest alternative design directions, or even wacky half-baked ideas.
Design Quality Review
Assess the overall visualization quality in terms of organization and presentation. Are elements appropriately titled or labeled? Is there appropriate spacing, layout, legible type, and other forms of design styling? Is it clear where to begin viewing the design? Is the overall display confusing or cluttered? Is there important information missing that is needed to interpret the visualization appropriately?
I Like... *
Praise for design ideas and/or well-executed implementation details.
I Wish... *
Constructive statements on how the design might be improved or further refined.
What If... *
Suggest alternative design directions, or even wacky half-baked ideas.
Task Effectiveness Review
How successful is the visualization in meeting the intended goals? Is the viewer able to readily answer the question proposed or addressed by the visualization? For an ethical design, is the information clear and transparent? For a deceptive design, does it intentionally (but subtly) mislead the viewer?
I Like... *
Praise for design ideas and/or well-executed implementation details.
I Wish... *
Constructive statements on how the design might be improved or further refined.
What If... *
Suggest alternative design directions, or even wacky half-baked ideas.
Submit
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