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Interdisciplinary Frontiers in Affective Health...
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Jeffrey M Girard
January 20, 2020
Science
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Interdisciplinary Frontiers in Affective Health & Communication
Job Talk Slides from Jeffrey M. Girard, Phd (Carnegie Mellon University)
Jeffrey M Girard
January 20, 2020
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Transcript
Interdisciplinary Frontiers in Affective Health & Communication Jeffrey Girard, PhD
Communicative Behavior Connects Us
Affective Communication Matters
My Research Framework
My Research Framework
Presentation Roadmap
Measuring Facial Behavior • Girard & Cohn (2011) ICCV •
Jeni, Girard, Cohn, & De la Torre (2013) AFGR • Girard et al. (2015) AFGR • Girard et al. (2015) Pattern Recognition Letters • Girard et al. (2015) Behavior Research Methods • Valstar, Almaev, Girard, et al. (2015) AFGR • Valstar et al. (2017) AFGR • Cohn et al. (2019) Multimodal behavior analysis
Measuring Behavior is Difficult Behavioral Rating Scales Facial Action Coding
System
Perhaps Computer Science Can Help
Facial Landmark Tracking
Computerized Action Unit Estimation
Gender, Culture, and Smiling • McDuff, Girard, Kaliouby (2017) J.
Nonverbal Behavior • Girard & McDuff (2017) AFGR • McDuff & Girard (2019) ACII • Girard & McDuff (in prep.) {Nature Human Behavior}
Gender, Culture, and Smiling
Smiling in Market Research Settings
Smiling Rates in Different Countries
Sociocultural Hypotheses Country’s citizen average on questionnaire (Hofstede Dimension Matrix:
1980–2015) Country’s number of immigration sources (World Migration Matrix: 1500–2000)
Multilevel Hypothesis Testing Parameter Est. p-val. 2.27 < .001 0.40
.506 0.63 .025 0.15 .673 × −0.06 .869 × 0.37 .014 × 0.13 .440
Multilevel Hypothesis Testing Parameter Est. p-val. 2.27 < .001 0.40
.506 0.63 .025 0.15 .673 × −0.06 .869 × 0.37 .014 × 0.13 .440
Automatic Assessment of Depression • Girard et al. (2013) AFGR
• Girard et al. (2014) Image & Vision Computing • Girard & Cohn (2015) Current Opinion in Psychology • Girard & Cohn (2020) What the face reveals 3rd Ed.
Automatic Assessment of Depression 32 6 31 9 10 8
13 20 14 15 19 21 18 7 Time 1 Time 2 Facial Actions Head Motion Symptoms
Facial Affect in Depression Automated vs. Expert Coding = 0.90,
95% CI: [0.87, 0.93] NRMSE = 0.119 MAE = 0.076
Head Motion in Depression Amplitude: Velocity:
Next Steps: Clinical Assessment Computerized Screening Psychotherapy Process
Primary Collaborators • • • • • • • Sources
of Research Funding • • • Acknowledgments