1. Lecture 18: (even more) Open Problems
May 1, 2017
SDS235:
Visual Analytics

2. Announcements Final Project Reception: Wednesday 6pm in Hillyer Atrium
FP5 Write-ups due May 12th by 4:59pm
Office hours tomorrow 11:30am – 1pm and by appointment

3. Details on Final Project Write-ups 1/2
Abstract and introduction: what is the big question your system answers? Who is it helping?
Description of your data: what it looks like, where it came from, and how you collected it / enriched it
A discussion of the visualization techniques you chose, and why they make sense for your application
An evaluation of your system (this can be a self-evaluation, an expert critique, a user study: just justify the choice)
Any future directions you would like to explore

4. Details on Final Project Write-ups 2/2
CAUSE / APA USCLAP Undergraduate Statistics Class Project Competition Deadline for Submission: 30 June 2017

5. What do we know about Visual Analytics?
Discussion
What do we know about Visual Analytics?

6. What are we still learning?
Discussion
What are we still learning?

7. Lesson 1: Perception Matters
Which of the following scatterplots shows a stronger correlation?
Harrison, Lane, et al. "Ranking visualizations of correlation using weber's law." Visualization and Computer Graphics, IEEE Transactions on (2014):

8. Lesson 1: Perception Matters
Harrison, Lane, et al. "Ranking visualizations of correlation using weber's law." Visualization and Computer Graphics, IEEE Transactions on (2014):

9. Lesson 1: Perception Matters
Harrison, Lane, et al. "Ranking visualizations of correlation using weber's law." Visualization and Computer Graphics, IEEE Transactions on (2014):

10. Lesson 1: Perception Matters
Harrison, Lane, et al. "Ranking visualizations of correlation using weber's law." Visualization and Computer Graphics, IEEE Transactions on (2014):

11. Open Question: How Much?
Kay, Matthew, and Jeffrey Heer. "Beyond Weber's Law: A Second Look at Ranking Visualizations of Correlation." Visualization and Computer Graphics, IEEE Transactions on (2016):

12. Lesson 2: Individual Differences Matter
Brown, Eli T., et al. "Finding waldo: Learning about users from their interactions." Visualization and Computer Graphics, IEEE Transactions on (2014):

13. Lesson 2: Individual Differences Matter
Brown, Eli T., et al. "Finding waldo: Learning about users from their interactions." Visualization and Computer Graphics, IEEE Transactions on (2014):

14. Open Question: When and How?
Ottley, Alvitta, Huahai Yang, and Remco Chang. "Personality as a Predictor of User Strategy: How Locus of Control Affects Search Strategies on Tree Visualizations." Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. ACM, 2015.

15. Open Question: When and How?
Ottley, Alvitta, Huahai Yang, and Remco Chang. "Personality as a Predictor of User Strategy: How Locus of Control Affects Search Strategies on Tree Visualizations." Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. ACM, 2015.

16. Lesson 3: Improving Memorability
Bateman, Scott, et al. "Useful junk?: the effects of visual embellishment on comprehension and memorability of charts." Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2010.

17. Lesson 3: Improving Memorability
Borkin, Michelle, et al. "What makes a visualization memorable?." Visualization and Computer Graphics, IEEE Transactions on (2013):

18. Open Question: Does Memorability Matter?
“Visualizations don’t need to be designed for memorability – they need to be designed for comprehension. For most visualizations, the comprehension that they provide need only last until the decision that it informs is made. Usually, that is only a matter of seconds. When the comprehension has lasting value, it should be stored in memory, not the visualization.”
“Information Visualization Research as Pseudo-Science.” Stephen Few, Perceptual Edge. Visual Business Intelligence Newsletter, October/November/December 2015

19. Lesson 4: Complementary Strengths
Crouser, R. Jordan, and Remco Chang. "An affordance-based framework for human computation and human-computer collaboration." Visualization and Computer Graphics, IEEE Transactions on (2012):

20. Open Question: How Do We Measure It?
Crouser, R. Jordan, Alvitta Ottley, and Remco Chang. "Balancing Human and Machine Contributions in Human Computation Systems." Handbook of Human Computation. Springer New York,

21. Open Question: How Do We Measure It?

22. Open Question: How Do We Measure It?

23. Open Question: How Do We Measure It?

24. Closing activity One useful / interesting thing you learned
One thing you wish we’d done differently
One lingering question you still have