“PERFORM: Perceptual Approach for Adding OCEAN Personality to Human Motion Using Laban Movement Analysis” by Badler, Durupinar, Kapadia, Deutsch and Neff

  • ©

Conference:


Type(s):


Title:

    PERFORM: Perceptual Approach for Adding OCEAN Personality to Human Motion Using Laban Movement Analysis

Session/Category Title:   People Power


Presenter(s)/Author(s):


Moderator(s):



Abstract:


    A major goal of research on virtual humans is the animation of expressive characters that display distinct psychological attributes. Body motion is an effective way of portraying different personalities and differentiating characters. The purpose and contribution of this work is to describe a formal, broadly applicable, procedural, and empirically grounded association between personality and body motion and apply this association to modify a given virtual human body animation that can be represented by these formal concepts. Because the body movement of virtual characters may involve different choices of parameter sets depending on the context, situation, or application, formulating a link from personality to body motion requires an intermediate step to assist generalization. For this intermediate step, we refer to Laban Movement Analysis, which is a movement analysis technique for systematically describing and evaluating human motion. We have developed an expressive human motion generation system with the help of movement experts and conducted a user study to explore how the psychologically validated OCEAN personality factors were perceived in motions with various Laban parameters. We have then applied our findings to procedurally animate expressive characters with personality, and validated the generalizability of our approach across different models and animations via another perception study.

References:


    1. Barbara Adrian. 2002. An Introduction to LMA for Actors: A Historical, Theoretical, and Practical Perspective. Allworth Press, New York. 73–84 pages.Google Scholar
    2. Jan Allbeck and Norman Badler. 2002. Toward representing agent behaviors modified by personality and emotion. In Workshop on Embodied Conversational Agents.Google Scholar
    3. Kenji Amaya, Armin Bruderlin, and Tom Calvert. 1996. Emotion from Motion. In Conference on Graphics Interface. 222–229. Google ScholarDigital Library
    4. Laban Effort Bank. 2015. http://www.lmaeffortbank.com/effort.html. (2015). Accessed: 01-19-2015.Google Scholar
    5. Irmgard Bartenieff and Dori Lewis. 1980. Body Movement: Coping with the Environment. Gordon and Breach, New York.Google Scholar
    6. Durell Bouchard and Norman I. Badler. 2007. Semantic segmentation of motion capture using laban movement analysis. In Intelligent Virtual Agents (IVA’07). Google ScholarDigital Library
    7. Matthew Brand and Aaron Hertzmann. 2000. Style machines. In ACM SIGGRAPH (2000), 183–192. Google ScholarDigital Library
    8. Shih Pin Chao, Shi Nine Yang, and Tsang Gang Lin. 2006. An LMA-Effort simulator with dynamics parameters for motion capture animation. Computer Animations and Virtual Worlds 17, 3–4 (2006), 167–177. Google ScholarDigital Library
    9. Diane Chi, Monica Costa, Liwei Zhao, and Norman I. Badler. 2000. The emote model for effort and shape. ACM SIGGRAPH (2000), 173–182. Google ScholarDigital Library
    10. Luca Chittaro and Milena Serra. 2004. Behavioral programming of autonomous characters based on probabilistic automata and personality. Journal of Visualization and Computer Animation 15, 3–4 (2004), 319–326. Google ScholarDigital Library
    11. Mark Coulson. 2004. Attributing emotion to static body postures: Recognition accuracy, confusions, and viewpoint dependence. Journal of Nonverbal Behavior 26, 2 (2004), 117–139. Google ScholarCross Ref
    12. Elizabeth Crane and Melissa Gross. 2007. Motion capture and emotion: Affect detection in whole body movement, affective computing and intelligent interaction. Lecture Notes in Computer Science 4738 (2007), 95–101. Google ScholarDigital Library
    13. Funda Durupinar, Jan Allbeck, Nuria Pelechano, Ugur Gudukbay, and Norman Badler. 2011. How the ocean personality model affects the perception of crowds. IEEE Computer Graphics and Applications 31, 3 (2011), 22–31. Google ScholarDigital Library
    14. Arjan Egges, Sumedha Kshirsagar, and Nadia Magnenat-Thalmann. 2003. A model for personality and emotion simulation. Lecture Notes in Artificial Intelligence 2773 (2003), 453–461. Google ScholarCross Ref
    15. Paul Ekman, Wallace V. Friesen, Maureen O’Sullivan, and Klaus Scherer. 1980. Relative importance of face, body, and speech in judgments of personality and affect. Journal of Personality and Social Psychology 38, 2 (1980), 270–277. Google ScholarCross Ref
    16. LMA Glossary. 2015. http://movementhasmeaning.com/glossary/. (2015). Accessed: 01-19-2015.Google Scholar
    17. Lewis R. Goldberg. 1990. An alternative “description of personality”: The big-five factor structure. Journal of Personality and Social Psychology 59 (1990), 1216–1229. Google ScholarCross Ref
    18. Samuel D. Gosling, Sei Jin Ko, Thomas Mannarelli, and Margaret E. Morris. 2002. A room with a cue: Judgments of personality based on offices and bedrooms. Journal of Personality and Social Psychology 82 (2002), 379–339. Google ScholarCross Ref
    19. Samuel D. Gosling, Peter J. Rentfrow, and William B. Swann. 2003. A very brief measure of the big-five personality domains. Journal of Research in Personality 37, 6 (2003), 504–528. Google ScholarCross Ref
    20. Qin Gu and Zhigang Deng. 2011. Context-aware motion diversification for crowd simulation. IEEE Computer Graphics and Applications 5 (2011), 54–65. Google ScholarDigital Library
    21. Stephen J. Guy, Sujeong Kim, Ming C. Lin, and Dinesh Manocha. 2011. Simulating heterogeneous crowd behaviors using personality trait theory. In ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA’11). Google ScholarDigital Library
    22. Bjoern Hartmann, Maurizio Mancini, and Catherine Pelachaud. 2006. Implementing expressive gesture synthesis for embodied conversational agents. Lecture Notes in Artificial Intelligence 3881 (2006), 188–199. Google ScholarDigital Library
    23. Eugene Hsu, Kari Pulli, and Jovan Popović. 2005. Style translation for human motion. ACM Transactions on Graphics (TOG) 24 (2005), 1082–1089. Google ScholarDigital Library
    24. Mubbasir Kapadia, Ikao Chiang, Tiju Thomas, Norman I. Badler, and Joseph Kider. 2013a. Efficient motion retrieval in large motion databases. In ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games. Google ScholarDigital Library
    25. Mubbasir Kapadia, Alexander Shoulson, Funda Durupinar, and Norman I. Badler. 2013b. Authoring multi-actor behaviors in crowds with diverse personalities. In Modeling, Simulation and Visual Analysis of Crowds, Saad Ali, Ko Nishino, Dinesh Manocha, and Mubarak Shah (Eds.). The International Series in Video Computing, Vol. 11. Springer, New York, 147–180. DOI:http://dx.doi.org/10.1007/978-1-4614-8483-7_7 Google ScholarCross Ref
    26. Michael Kipp, Michael Neff, Kerstin H. Kipp, and Irene Albrecht. 2007. Towards natural gesture synthesis: Evaluating gesture units in a data-driven approach to gesture synthesis. In Intelligent Virtual Agents (IVA’07). Springer-Verlag, Berlin, 15–28. Google ScholarDigital Library
    27. Mark L. Knapp and Judith A. Hall. 1978. Nonverbal Communication in Human Interaction. Holt, Rinehart and Winston, New York.Google Scholar
    28. Yuichi Kobayashi and Jun Ohya. 2006. EM-in-M: Analyze and synthesize emotion in motion. In Advances in Machine Vision, Image Processing, and Pattern Analysis (LNCS), Nanning Zheng, Xiaoyi Jiang, and Xuguang Lan (Eds.), Vol. 4153. 135–143. Google ScholarDigital Library
    29. Doris H. U. Kochanek and Richard H. Bartels. 1984. Interpolating splines with local tension, continuity, and bias control. In ACM SIGGRAPH 18, 3 (1984), 33–41. Google ScholarDigital Library
    30. Sergey Levine, Philipp Krähenbühl, Sebastian Thrun, and Vladlen Koltun. 2010. Gesture controllers. ACM Transactions on Graphics (TOG) 29, 4 (2010), 124. Google ScholarDigital Library
    31. Jacqlyn A. Levy and Marshall P. Duke. 2003. The use of Laban movement analysis in the study of personality, emotional state and movement style: An exploratory investigation of the veridicality of “body language.” Individual Differences Research 1, 1 (2003), 39–63.Google Scholar
    32. C. Karen Liu, Aaron Hertzmann, and Zoran Popović. 2005. Learning physics-based motion style with nonlinear inverse optimization. In ACM SIGGRAPH 24, 3 (2005), 1071–1081. Google ScholarDigital Library
    33. Kris Liu, Jackson Tolins, Jean E Fox Tree, Michael Neff, and Marilyn A Walker. 2016. Two techniques for assessing virtual agent personality. IEEE Transactions on Affective Computing 7, 1 (2016), 94–105. Google ScholarDigital Library
    34. Maurizio Mancini and Ginevra Castellano. 2007. Real-time analysis and synthesis of emotional gesture expressivity. In Affective Computing and Intelligent Interaction.Google Scholar
    35. Robert R. McCrae, Paul T. Costa, and Thomas A. Martin. 2005. The NEO-PI-3: A more readable revised NEO personality inventory. Journal of Personality Assessment 84, 3 (2005), 261–270. Google ScholarCross Ref
    36. Rachel McDonnell, Sophie Jörg, Joanna McHugh, Fiona Newell, and Carol O’Sullivan. 2008a. Evaluating the emotional content of human motions on real and virtual characters. In Applied Perception in Graphics and Visualization (APGV’08). 67–74. Google ScholarDigital Library
    37. Rachel McDonnell, Michéal Larkin, Simon Dobbyn, Steven Collins, and Carol O’Sullivan. 2008b. Clone attack! Perception of crowd variety. ACM Transactions on Graphics (TOG) 27, 3 (2008), Article no. 26, 8 pages. Google ScholarDigital Library
    38. Matthias R. Mehl, Samuel D. Gosling, and James W. Pennebaker. 2006. Personality in its natural habitat: Manifestations and implicit folk theories of personality in daily life. Journal of Personality and Social Psychology 90 (2006), 862–877. Google ScholarCross Ref
    39. Michael Neff and Eugene Fiume. 2005. AER: Aesthetic exploration and refinement for expressive character animation. In Eurographics/ACM SIGGRAPH Symposium on Computer Animation (SCA’05). Google ScholarDigital Library
    40. Michael Neff, Nicholas Toothman, Robeson Bowmani, Jean E. Fox Tree, and Marilyn Walker. 2011. Don’t scratch! Self-adaptors reflect emotional stability. In Intelligent Virtual Agents (IVA’11). Springer LNAI. Google ScholarDigital Library
    41. Michael Neff, Yingying Wang, Rob Abbott, and Marilyn Walker. 2010. Evaluating the effect of gesture and language on personality perception in conversational agents. In Intelligent Virtual Agents (IVA’10). LNCS. Google ScholarDigital Library
    42. Aline Normoyle, Fannie Liu, Mubbasir Kapadia, Norman I. Badler, and Sophie Joerg. 2013. The effect of posture and dynamics on the perception of emotion. In ACM Symposium on Applied Perception (SAP’13). Google ScholarDigital Library
    43. Marion North. 1972. Personality Assessment Through Movement. Macdonald and Evans.Google Scholar
    44. RootMotion. 2015. Final IK. http://www.root-motion.com. (2015). Accessed: 01-19-2015.Google Scholar
    45. Ali-Akbar Samadani, Sarah J. Burton, Rob Gorbet, and Dana Kulić. 2013. Laban effort and shape analysis of affective hand and arm movements. In Affective Computing and Intelligent Interaction (ACII’13). 343–348. Google ScholarDigital Library
    46. Ari Shapiro, Yong Cao, and Petros Faloutsos. 2006. Style components. In Graphics Interface. 33–39. Google ScholarDigital Library
    47. Scott Steketee and Norman I. Badler. 1985. Parametric keyframe interpolation incorporating kinetic adjustment and phasing control. In ACM SIGGRAPH 19 (1985), 225–262. Google ScholarDigital Library
    48. Lorenzo Torresani, Peggy Hackney, and Chris Bregler. 2007. Learning motion style synthesis from perceptual observations. In Neural Information Processing Systems (NIPS’07). Google ScholarDigital Library
    49. Munetoshi Unuma, Ken Anjyo, and Ryozo Takeuchi. 1995. Fourier principles for emotion-based human figure animation. In ACM SIGGRAPH (1995), 91–96. Google ScholarDigital Library
    50. Vinoba Vinayagamoorthy, Marco Gillies, Anthony Steed, E. Tanguy, Xueni Pan, C. Loscos, and Mel Slater. 2006. Building expression into virtual characters. In Eurographics Conference State of the Art Reports.Google Scholar
    51. Liwei Zhao, Monica Costa, and Norman I Badler. 2000. Interpreting movement manner. In Computer Animation Conference, IEEE Computer Society. Google ScholarDigital Library


ACM Digital Library Publication:



Overview Page: