Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Leveraging Data Science to Advance the Scientif...
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Jeffrey M Girard
January 28, 2020
Science
1
73
Leveraging Data Science to Advance the Scientific Study of Smiling
Brownbag (Chalk) Talk Slides from Jeffrey M. Girard, PhD (Carnegie Mellon University)
Jeffrey M Girard
January 28, 2020
Tweet
Share
More Decks by Jeffrey M Girard
See All by Jeffrey M Girard
Large-scale observational research
jmgirard
2
76
Interdisciplinary Frontiers in Affective Health & Communication
jmgirard
1
48
Data Visualization Principles and Practice
jmgirard
1
330
Other Decks in Science
See All in Science
2025-06-11-ai_belgium
sofievl
1
230
Celebrate UTIG: Staff and Student Awards 2025
utig
0
790
データベース09: 実体関連モデル上の一貫性制約
trycycle
PRO
0
1.1k
Optimization of the Tournament Format for the Nationwide High School Kyudo Competition in Japan
konakalab
0
150
Kaggle: NeurIPS - Open Polymer Prediction 2025 コンペ 反省会
calpis10000
0
380
データベース06: SQL (3/3) 副問い合わせ
trycycle
PRO
1
720
SpatialRDDパッケージによる空間回帰不連続デザイン
saltcooky12
0
160
Rashomon at the Sound: Reconstructing all possible paleoearthquake histories in the Puget Lowland through topological search
cossatot
0
520
【RSJ2025】PAMIQ Core: リアルタイム継続学習のための⾮同期推論・学習フレームワーク
gesonanko
0
650
20251212_LT忘年会_データサイエンス枠_新川.pdf
shinpsan
0
230
タンパク質間相互作⽤を利⽤した⼈⼯知能による新しい薬剤遺伝⼦-疾患相互作⽤の同定
tagtag
PRO
0
140
データベース05: SQL(2/3) 結合質問
trycycle
PRO
0
880
Featured
See All Featured
[RailsConf 2023] Rails as a piece of cake
palkan
59
6.3k
Neural Spatial Audio Processing for Sound Field Analysis and Control
skoyamalab
0
170
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
508
140k
How to Build an AI Search Optimization Roadmap - Criteria and Steps to Take #SEOIRL
aleyda
1
1.9k
Ecommerce SEO: The Keys for Success Now & Beyond - #SERPConf2024
aleyda
1
1.8k
Between Models and Reality
mayunak
1
200
Exploring anti-patterns in Rails
aemeredith
2
250
Build your cross-platform service in a week with App Engine
jlugia
234
18k
The Illustrated Children's Guide to Kubernetes
chrisshort
51
51k
Optimizing for Happiness
mojombo
379
71k
Visual Storytelling: How to be a Superhuman Communicator
reverentgeek
2
440
Building a Modern Day E-commerce SEO Strategy
aleyda
45
8.7k
Transcript
Leveraging Data Science to Advance the Scientific Study of Smiling
bit.ly/girard2020b
Data Science in Psychology • • • • • •
• • • •
Data Science in Psychology Solutions (Hammers) • • • •
• • • • • • • • • Challenges (Nails) • • • • • • • • • • • • •
Presentation Roadmap
Study 1: Web-Scraped Celebrity Smiles
Web-Scraped Celebrity Smiles: Design • • • • • •
Web-Scraped Celebrity Smiles: Collect/Process http://bit.ly/celebs_by_nation
Web-Scraped Celebrity Smiles: Collect/Process
Web-Scraped Celebrity Smiles: Process
Web-Scraped Celebrity Smiles: Validate Measure Algorithm Positive Smile Positive Rating
0.79 Smile Rating 0.78 0.94 Expert FACS 0.87 0.97 0.94 Measure ICC(A,5) 95% CI Positive Rating 0.90 [0.88, 0.92] Smile Rating 0.90 [0.88, 0.92]
Web-Scraped Celebrity Smiles: Model • • • • • •
• • Zero-Inflated Beta Regression ZI Beta = 0 ∈ (0, 1)
Web-Scraped Celebrity Smiles: Model/Visualize
Web-Scraped Celebrity Smiles: Visualize
Study 2: Spontaneous Emotion Database
Spontaneous Emotion Database: Design • • • •
Spontaneous Emotion Database: Design • • • •
Spontaneous Emotion Database: Design/Collect Emotion Rating Scale Afraid/Scared 0 1
2 3 4 5 Angry/Upset 0 1 2 3 4 5 Disgusted 0 1 2 3 4 5 … … Other (write in) 0 1 2 3 4 5
Spontaneous Emotion Database: Collect/Visualize
Spontaneous Emotion Database: Validate/Visualize
Spontaneous Emotion Database: Collect AU 1 + 10 + 12
+ 15 + 17 + 64 Action Unit Occurrence Did the action unit happen? {Absent = 0, 1 = Present} Action Unit Intensity How strong was the action unit? {Trace = 1, 2, 3, 4, 5 = Maximum}
Spontaneous Emotion Database: Collect/Process AU12 AU12 AU06 2 2 3
4 4 4 2 4 2 2 2 2 2 2 3 3 3 3 3 0 0 1 1 0 0 0 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1 Action Unit Occurrence: {0=Absent, 1=Present} Action Unit Intensity: {1=Trace, 2=Slight, 3=Pronounced, 4=Extreme, 5=Maximum}
Spontaneous Emotion Database: Collect
Spontaneous Emotion Database: Validate agreement github.com/jmgirard/agreement mreliability.jmgirard.com 0 1 1
1 0 0 1 1 0 1 0 1
Study 3: Algorithmic Smile Interpretation
Algorithmic Smile Interpretation: Design • • • •
Algorithmic Smile Interpretation: Process Example Smile Event Video Clips Fr
AU12 AU6 1 3 0 2 3 3 3 4 2 4 0 0 5 2 0 6 2 0 Frs AU12i AU6o AU6i 1 to 3 4 1 3 5 to 6 2 0 0
Algorithmic Smile Interpretation: Model Smile Appearance Reported Emotion Algorithm
Algorithmic Smile Interpretation: Model Support Vector Machine Random Forest Multilayer
Perceptron
Algorithmic Smile Interpretation: Validate
Algorithmic Smile Interpretation: Visualize
Discussion Questions • • •