1. Measurement, analysis, and sharing
Daniel Messinger, Ph.D.
University of Miami
September 15, 2011
From openshapa to open data sharing

2. Overview
Problem: Lack of sharing
 Continuous measurement
 Objective—automated
 Subjective
 Analysis tools
 Categorical measurement
 Analysis tools
Solution? Share behavioral databases…
http://measurement.psy.miami.edu/

3. Measurement problems
plague the behavioral sciences
Investigator-specific systems
Each lab re-invents the wheel
in its own image
hampering replication
http://measurement.psy.miami.edu/

4. Broader systems have emerged
Facial Action Coding System (FACS)
Require substantial training & implementation
Instantiate with automated
measurement
http://measurement.psy.miami.edu/

5. Computer Vision
http://measurement.psy.miami.edu/

6. Parent-Infant Interaction
Infant Smile, Mother Smile
http://measurement.psy.miami.edu/
Messinger, et al., 2009

7. Variability at Every Level
5
4
Dyad A
3
Facial Actions & Tickling
2
1
0
.35 .50 .36 .21
0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160 170 180
5
4
Dyad B
3
2
1
0
.47 .42 .28 .58
http://measurement.psy.miami.edu/

8. Tools for continuous data
http://measurement.psy.miami.edu/

9. Tools for continuous data
http://measurement.psy.miami.edu/

10. Rating Constructs Directly
http://measurement.psy.miami.edu/
Baker et al., 2010;
Chow et al., 2010

11. Rationale
Human beings are
expert at the
continuous, intutive
evaluation of others
The wisdom of
crowds….aggregate
independent
observations
http://measurement.psy.miami.edu/

12. Time-series Mean
Object of Measurement: 11.10
Parent
140.00 Infant
120.00
100.00
Emotional Valence Ratings
80.00
60.00
40.00
20.00
0.00
.00 10.00 20.00 30.00 40.00 50.00 60.00 70.00 80.00 90.00 100.00 110.00 120.00 130.00 140.00 150.00 160.00 170.00 180.00
Seconds
http://measurement.psy.miami.edu/
Baker et al., 2010a

13. Data analysis tools
(responsivity varies in time)
Interactive Influence
  it    it  1  2 0  i ,t 1    ,it 
    1 0    
Infant it  1 0 Parent it  i ,t 1   i ,t 1   0  i ,t  2    0 

 
 Bit 
   Bit   0 0
   1  Bi ,t 1   B ,it 
   
Chow et al., 2010
http://measurement.psy.miami.edu/
Chow et al., 2010

14. Reliability with expert measurement
Expert Family Conflict
Non-Expert Family Conflict
Expert Sensitive Structuring
Non-Expert Sensitivity
http://measurement.psy.miami.edu/
Baker et al., 2010b

15. http://measurement.psy.miami.edu/cms.phtml
http://measurement.psy.miami.edu/

16. Coding tool
Easy Interface
Frame-by-frame
procession
User-defined
codes
http://measurement.psy.miami.edu/

17. Categorical data enable
identification of patterns
http://measurement.psy.miami.edu/

18. Finding Temporal Patterns
http://measurement.psy.miami.edu/
Yale et al., 1999;
Yale et al., 2003

19. Document the existence of patterns
Observed Behaviors
Gazes Gazes
No Smiles Smiles Away at Mom
SM
SM
To Create Simulated Pattern
Smile SM SM
Gaze
Time
psy.miami.edu/faculty/dmessinger/

20. Finding Temporal Patterns in Data
Smile SM SM
Observed Pattern Smile in Gaze!
Gaze
Subtract
Smile SM SM
Simulated
Random Pattern
Gaze
Repeat 2000 times. Time
Z = (Observed – Simulated)/SDS
psy.miami.edu/faculty/dmessinger/

21. The problem:
Studying a common phenomenon…
Neonatal imitation or not…
 Meltzoff
Google search…. macaques
http://measurement.psy.miami.edu/

22. Sharing Behavioral Data
http://measurement.psy.miami.edu/

23. Automated measurement is
collaborative research
The Computer Expression
Recognition Toolbox
http://mplab.ucsd.edu/~marni/Pro
jects/CERT.htm
http://www.pitt.edu/~jeffcohn/
http://www.ri.cmu.edu/research_lab_group
_detail.html?lab_id=51&menu_id=263
Commercial software…http://www.noldus.com/news/new-facereader-30
http://measurement.psy.miami.edu/

24. Computer vision models
http://measurement.psy.miami.edu/

25. The IRB issue…
Surmountable…
http://measurement.psy.miami.edu/

26. Thanks!
Mohammad Mahoor, Lisa Ibanez, Jeffrey
Cohn, Alan Fogel, & Sy-Miin Chow
http://measurement.psy.miami.edu/