1. F. Durupinar, M. Kapadia, S. Deutsch, M. Neff & N. Badler
PERFORM: Perceptual Approach for Adding OCEAN Personality to Human Motion Using Laban Movement Analysis
F. Durupinar, M. Kapadia, S. Deutsch, M. Neff & N. Badler
As presented by Merel Meekes

2. Aim of the Study Consistently mapping personality to motion by:
Defining personality driven motion parameters
Generating motion from parameters
Applying mapping on a visual representation

3. Topics of Today OCEAN personality model Laban Movement Analysis
Existing research basis
Animation workflow
User Studies- Mapping LMA parameters to OCEAN model
Completing the system
User Studies - Personality-driven motion synthesis
Possibilities and Limitations
Discussion

4. OCEAN personality model
5 - factor model
O Openness
C Conscientiousness
E Extraversion
A Agreeableness
N Neuroticism

5. Laban Movement Analysis (LMA)
Movement as combination of Effort and Shape
Layered over movement of Action
Consulted with LMA experts

6. Laban Movement Analysis (LMA)
Effort - dynamic aspect of motion
Space: Indirect vs Direct
Weight: Light vs Strong
Time: Sustained vs Sudden
Flow: Free vs Bound

7. Laban Movement Analysis (LMA)
Shape - body form related to movement
Shape Quality - changes of body in space
Horizontal: Enclosing vs Spreading
Vertical: Sinking vs Rising
Sagittal: Retreating vs Advancing

8. Related Research Data Driven Approaches Personality and Motion
Emotion Styles
Laban Movement Analysis in Computer Graphics
Movement Diversity in Crowds
This is the first attempt at mapping from personality to movement in a non-data driven way.

9. Animation Workflow Incorporating the motion of the whole body
Keyframe manipulation
Shape timing parameters
Torso rotation and head control
Using Drives over Effert elements
Time Control and Shape Control

10. Animation Workflow - Time Control
Motion Velocity

11. Animation Workflow - Time Control
Timestep

12. Animation Workflow - Shape Control
Determining Coefficients

13. Animation Workflow - Shape Control
Flourishes or Miscellaneous parameters

14. User Studies - Experiment
Comparison of two poles of 1 Effort Dimension
48 Drive Comparisons
Ten-Item Personality Inventory
Specifically selected actions

15. User Studies - Map LMA and OCEAN

16. User Studies - Map LMA and OCEAN

17. Completing the System
OCEAN-to-Effort Mapping

18. Completing the System
Effort-to-Motion Parameter Mapping

19. User Studies - Personality-driven motion synthesis

20. Possibilities and Limitations
Use of different Motion Model
Application of overlay motion
Consistent in diversity
Connecting different emotion states
Limitations
Possibility for exaggeration
Layering Emotions
Testing Limitations
Only kinetic information
Low Level control

21. Questions before we discuss?

22. Motion Capture and Laban Analysis
Would Motion Capture benefit from Laban Analysis in correlation with the OCEAN model to interpret motion detected?
Use of Flow and Spacial Awareness
Fast movement interpretation and recording
Unnecessary complexity for possibly limited results

23. Motion Capture vs Perform
Will this automatic generation of personality overthrow performance acting?
Less of actor’s personal style in performance
Fast personality implementations
Base movement determination
Present state of technology

24. Thank you