Lecture 2: Design Rules of Thumb CS 7250 S PRING 2020 Prof. Cody - - PowerPoint PPT Presentation

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Lecture 2: Design Rules of Thumb CS 7250 S PRING 2020 Prof. Cody - - PowerPoint PPT Presentation

Apr 13, 2023 718 likes •1.25k views

Lecture 2: Design Rules of Thumb CS 7250 S PRING 2020 Prof. Cody Dunne N ORTHEASTERN U NIVERSITY Slides and inspiration from Michelle Borkin, Krzysztof Gajos, Hanspeter Pfister, 1 Miriah Meyer, Jonathan Schwabish, and David Sprague P REVIOUSLY

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Lecture 2: Design Rules of Thumb

CS 7250 SPRING 2020

  • Prof. Cody Dunne

NORTHEASTERN UNIVERSITY

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Slides and inspiration from Michelle Borkin, Krzysztof Gajos, Hanspeter Pfister, Miriah Meyer, Jonathan Schwabish, and David Sprague

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PREVIOUSLY, ON CS 7250…

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What is visualization anyway?

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visualization: the visual representation of data

to reinforce human cognition

(static or interactive) (abstract or spatial)

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visualization computer graphics statistics HCI design psychology art

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STAFF INTRODUCTIONS

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Sara Di Bartolomeo, CS PhD TA Cody Dunne Assistant Professor Instructor Gayathri Raj UG Service-Learning TA

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Course Homepage

https://canvas.instructure.com/courses/1781732

  • If you don’t have an account on our Canvas yet:

https://canvas.instructure.com/enroll/CMAPDM

  • Use your name as known by the registrar and your

@husky.neu.edu email.

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Hall of Fame or Hall of Shame

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  • Prof. Krzystzof Gajos
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9 http://hint.fm/wind/gallery/oct-29.js.html

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Kathryn Busemeyer - https://www.nytimes.com/interactive/2017/09/09/us/hurricane-irma- records.html

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Matthew Kolosick - https://twitter.com/blkahn/status/905141924939649024/photo/1

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In-Class Redesign — Hurricane Funnels (continued…)

5 min https://canvas.instructure.com/courses/1781732/assignments/13386302

https://www.nhc.noaa.gov/refresh/graphics_at5+shtml/ 155815.shtml?cone#contents

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In-Class Redesign — Hurricane Funnels (continued…)

5 min https://canvas.instructure.com/courses/1781732/assignments/13386302

https://www.nhc.noaa.gov/refresh/graphics_at5+shtml/ 155815.shtml?cone#contents

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READING QUIZ

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THE NESTED MODEL FOR VISUALIZATION DEVELOPMENT

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TEXTBOOK

Additional “recommended” books as resources in syllabus

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“Nested Model”

Tamara Munzner Example

FAA (aviation)

What is the busiest time

  • f day at Logan

Airport? Map vs. Scatter Plot vs. Bar

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Nested Model

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Nested Model

Designer understands user Abstract domain tasks

Human-centered design

Visualization design Implementation Identified Designed

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Nested Model

TOP-DOWN BOTTOM-UP “problem- driven” “technique

  • driven”

Design Study

Most difficult step!

Technique

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Nested Model

Mistakes propagate through model!

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Threats to Validity

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Threats to Validity

Final Project validation

✓ ✓ ✓ ✓

Final project follow-up

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PROJECTS

(Using the nested model via design study “lite” methodology)

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SERVICE-LEARNING PROJECTS

Why are we doing service learning? Design Study “Lite” Methodology (Borkin et al. 2017)

  • Design studies are a growing and valuable research area.
  • Real-world data visualization experience.
  • Visualization for exploration and communication.
  • A more realistic experience of creating visualizations, and doing work in general.
  • Teaches design, interview, evaluation, communication, and feedback techniques

difficult to replicate in a classroom.

  • Higher-stakes deliverables.
  • Professional development.
  • Make a positive impact in the community.
  • Publication?

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SERVICE-LEARNING PROJECTS

What are the challenges?

  • Real-world data is messy and difficult to gather and process.
  • Partners may not have clear goals and expectations.
  • There is communication and scheduling overhead, inc. for teaching staff to

differentiate assignment grading if necessary.

  • Project areas may be too predefined.
  • Project areas may be too ambiguous.
  • May not actually make a meaningful impact.
  • Reduces time for white-room technical education.
  • More ambiguous expectations and grading challenges.
  • Possible variation in student workload.
  • Students may not know they are signing up for Service-Learning in advance

(common problem with our registrar).

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SERVICE-LEARNING PROJECTS

Who to blame for getting you into this?

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EXAMPLES OF SUCCESSFUL COURSE PROJECTS

(Albeit with different requirements)

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Pandey et al. VIS 2019

PROJECT EXAMPLE — CEREBROVIS

CS 7260 FALL 2017: VISUALIZATION FOR NETWORK SCIENCE

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Pandey et al. VIS 2019

PROJECT EXAMPLE — CEREBROVIS

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Cambpell et al. VIS4DH 2018

PROJECT EXAMPLE — WWOVIS

DS 4200 SPRING 2018: INFORMATION PRESENTATION & VISUALIZATION

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EXAMPLE OF A SUCCESSFUL DIFFERENTIATED COURSE PROJECT

(Requires prior instructor approval to waive / alter requirements)

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Di Bartolomeo et al. CHI 2020 (submitted version)

PROJECT EXAMPLE — DIVERSIFORM TIMELINES

CS 7340 FALL 2018: THEORY AND METHODS

IN HUMAN COMPUTER

INTERACTION

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PROJECT EXAMPLE — DIVERSIFORM TIMELINES

Di Bartolomeo et al. CHI 2020 (submitted version)

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PROJECT IDEAS: VIS + X

Where X = (ML | SEC | NLP | HCC | GAM | NS | SYS | …)

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POTENTIAL VENUE: IEEE VIS 2020 SHORT PAPERS

Deadline ~June 13, 2020

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PROJECTS

In-class project pitches: M 2020.01.27 What questions do you have for me?

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DESIGN & RULES OF THUMB

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Edward Tufte

Tufte will be doing one of his one-day courses in Boston on 10/29, 30, and 31 2018. $220 for students includes these books. https://www.edwardtufte.com/tufte/courses

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“Graphical Integrity”

“Clear, detailed, and thorough labeling should be used to defeat graphical distortion and

  • ambiguity. Write out explanations of the data
  • n the graphic itself. Label important events in

the data.”

Tufte, “Visual Display of Quantitative Information” (1983)

(Axes and axis labels, titles, annotations, legends, etc.)

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“Clear, detailed, and thorough labeling should be used to defeat graphical distortion and ambiguity. Write out explanations of the data on the graphic itself. Label important events in the data.”

Tufte, “Visual Display of Quantitative Information” (1983)

$3,549,385 $(11,014)

y-axis baseline?!

“Distorted Scales”

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“Clear, detailed, and thorough labeling should be used to defeat graphical distortion and ambiguity. Write out explanations of the data on the graphic itself. Label important events in the data.”

Based on http://data.heapanalytics.com/how-to-lie-with-data- visualization

3.140 3.142 3.145 3.147 3.149 3.152 3.154 2008 2009 2010 2011 2012 Percent %

Interest Rates

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“Clear, detailed, and thorough labeling should be used to defeat graphical distortion and ambiguity. Write out explanations of the data on the graphic itself. Label important events in the data.”

Based on http://data.heapanalytics.com/how-to-lie-with-data- visualization

0.00 0.80 1.60 2.40 3.20 4.00 2008 2009 2010 2011 2012 Percent %

Interest Rates

CONTEXT!

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Upcoming Assignments & Communication

https://canvas.instructure.com/courses/1781732 If you don’t have an account on our Canvas yet: https://canvas.instructure.com/enroll/CMAPDM Use your name as known by the registrar and your @husky.neu.edu email. Look at the upcoming assignments and deadlines (12:01am)! Everyday Required Supplies:

  • 5+ colors of pen/pencil
  • White paper
  • Laptop and charger
  • Table tent

Use Canvas Discussions for general questions, email the instructor/TAs for questions specific to you.