Understanding Biological Motion
Jeroen J. A. van Boxtel
Monash University, Melbourne, Australia
Search for more papers by this authorHongjing Lu
University of California Los Angeles, Los Angeles, California, USA
Search for more papers by this authorJeroen J. A. van Boxtel
Monash University, Melbourne, Australia
Search for more papers by this authorHongjing Lu
University of California Los Angeles, Los Angeles, California, USA
Search for more papers by this authorAbstract
The ultimate goal of biological motion perception is to be able to understand actions so as to provide an answer to the question, “Who did what to whom and why?” This inference capacity enables humans to go beyond the surface appearance of behavior in order to successfully interact with others and with the environment. In addition to its functional importance, understanding biological motion bridges several major fields, including perception, reasoning, and social cognition. However, despite its paramount role in human perception and cognition, only limited progress has so far been made in understanding biological motion. After reviewing the relevant literature, this essay argues that future research needs to identify the contributions of three basic processes involved in understanding biological motion: perception of animacy, causality, and intention. The involvement of these basic processes needs to be investigated both in the typical healthy population as well as in populations with mental disorders, such as autism spectrum disorders and schizophrenia. We also suggest that a productive research approach should focus on more interactive actions of the sort often observed in the natural social environment, rather than solely using the single-actor displays that have been typical in previous work. It is further emphasized that there is a need for a theoretical and computational framework within which these different types of processing can be united. We propose that the predictive coding framework provides a good candidate.
References
- Allison, T., Puce, A., & McCarthy, G. (2000). Social perception from visual cues: Role of the STS region. Trends in Cognitive Sciences, 4(7), 267–278.
- Backasch, B., Straube, B., Pyka, M., Klohn-Saghatolislam, F., Muller, M. J., Kircher, T. T., & Leube, D. T. (2013). Hyperintentionality during automatic perception of naturalistic cooperative behavior in patients with schizophrenia. Social Neuroscience, 8(5), 489–504.
- Blake, R., Turner, L. M., Smoski, M. J., Pozdol, S. L., & Stone, W. L. (2003). Visual recognition of biological motion is impaired in children with autism. Psychological Science, 14(2), 151–157.
- Blakemore, S. J., Boyer, P., Pachot-Clouard, M., Meltzoff, A., Segebarth, C., & Decety, J. (2003). The detection of contingency and animacy from simple animations in the human brain. Cerebral Cortex, 13(8), 837–844.
- van Boxtel, J. J. A., & Lu, H. (2013a). Impaired global, and compensatory local, biological motion processing in people with high levels of autistic traits. Frontiers in Psychology, 4(209), 1–10.
- van Boxtel, J. J. A., & Lu, H. (2013b). A predictive coding perspective on autism spectrum disorders. Frontiers in Psychology, 4(19), 1–3.
- Brass, M., Schmitt, R. M., Spengler, S., & Gergely, G. (2007). Investigating action understanding: Inferential processes versus action simulation. Current Biology, 17(24), 2117–2121.
- Castelli, F., Happe, F., Frith, U., & Frith, C. (2000). Movement and mind: A functional imaging study of perception and interpretation of complex intentional movement patterns. NeuroImage, 12(3), 314–325.
- Centelles, L., Assaiante, C., Etchegoyhen, K., Bouvard, M., & Schmitz, C. (2013). From action to interaction: Exploring the contribution of body motion cues to social understanding in typical development and in autism spectrum disorders. Journal of Autism and Developmental Disorders, 43(5), 1140–1150.
- Chambon, V., Domenech, P., Pacherie, E., Koechlin, E., Baraduc, P., & Farrer, C. (2011). What are they up to? The role of sensory evidence and prior knowledge in action understanding. PLoS ONE, 6(2), e17133.
- Cutting, J. E., & Kozlowski, L. (1977). Recognizing friends by their walk: Gait perception without familiarity cues. Bulletin of the Psychonomic Society, 9, 353–356.
-
Darwin, C. (1872). The expression of the emotions in man and animals. London, England: John Murray.
10.1037/10001-000 Google Scholar
- Dennett, D. C. (1987). The intentional stance. Cambridge, MA: MIT Press.
- Dittrich, W. H., Troscianko, T., Lea, S. E., & Morgan, D. (1996). Perception of emotion from dynamic point-light displays represented in dance. Perception, 25(6), 727–738.
- Feldman, H., & Friston, K. J. (2010). Attention, uncertainty, and free-energy. Frontiers in Human Neuroscience, 4, 215.
- Friston, K. (2010). The free-energy principle: A unified brain theory? Nature Reviews Neuroscience, 11(2), 127–138.
- Friston, K. J., Lawson, R., & Frith, C. D. (2013). On hyperpriors and hypopriors: Comment on Pellicano and Burr. Trends in Cognitive Sciences, 17(1), 1.
- Frith, U., & Frith, C. D. (2003). Development and neurophysiology of mentalising. Philosophical Transactions of the Royal Society B, 358, 685–694.
- Frith, C. D., & Frith, U. (2006). The neural basis of mentalizing. Neuron, 50(4), 531–534.
- Gao, T., Scholl, B. J., & McCarthy, G. (2012). Dissociating the detection of intentionality from animacy in the right posterior superior temporal sulcus. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 32(41), 14276–14280.
- Graf, M., Reitzner, B., Corves, C., Casile, A., Giese, M., & Prinz, W. (2007). Predicting point-light actions in real-time. NeuroImage, 36(Suppl 2), T22–T32.
- Grossman, E., Donnelly, M., Price, R., Pickens, D., Morgan, V., Neighbor, G., & Blake, R. (2000). Brain areas involved in perception of biological motion. Journal of Cognitive Neuroscience, 12(5), 711–720.
- Heider, F., & Simmel, M. (1944). An experimental study of apparent behavior. The American Journal of Psychology, 57, 243–249.
- Iacoboni, M., Lieberman, M. D., Knowlton, B. J., Molnar-Szakacs, I., Moritz, M., Throop, C. J., & Fiske, A. P. (2004). Watching social interactions produces dorsomedial prefrontal and medial parietal BOLD fMRI signal increases compared to a resting baseline. NeuroImage, 21(3), 1167–1173.
- Kaiser, M. D., & Shiffrar, M. (2009). The visual perception of motion by observers with autism spectrum disorders: A review and synthesis. Psychonomic Bulletin & Review, 16(5), 761–777.
- Keysers, C., & Gazzola, V. (2007). Integrating simulation and theory of mind: From self to social cognition. Trends in Cognitive Sciences, 11(5), 194–196.
- Kilner, J. M., Friston, K. J., & Frith, C. D. (2007). Predictive coding: An account of the mirror neuron system. Cognitive Processing, 8(3), 159–166.
- Klin, A., Lin, D. J., Gorrindo, P., Ramsay, G., & Jones, W. (2009). Two-year-olds with autism orient to non-social contingencies rather than biological motion. Nature, 459(7244), 257–261.
-
Knill, D. C., & Richards, W. (1996). Perception as Bayesian inference. Cambridge, England: Cambridge University Press.
10.1017/CBO9780511984037 Google Scholar
- Kozlowski, L., & Cutting, J. E. (1977). Recognizing the sex of a walker from a dynamic point-light display. Perception & Psychophysics, 21(6), 575–580.
- de Lange, F. P., Spronk, M., Willems, R. M., Toni, I., & Bekkering, H. (2008). Complementary systems for understanding action intentions. Current Biology: CB, 18(6), 454–457.
- Manera, V., Del Giudice, M., Bara, B. G., Verfaillie, K., & Becchio, C. (2011). The second-agent effect: Communicative gestures increase the likelihood of perceiving a second agent. PLoS ONE, 6(7), e22650.
- Marr, D. (1982). Vision: A computational approach. San Francisco, CA: Freeman & Co..
- Michotte, A. (1946/1963). The perception of causality (Miles T.R., Miles E. Trans.). New York, NY: Basic Books (Original work published 1946).
- Mumford, D. (1992). On the computational architecture of the neocortex II. The role of cortico-cortical loops. Biological Cybernetics, 66(3), 241–251.
- Neri, P., Luu, J. Y., & Levi, D. M. (2006). Meaningful interactions can enhance visual discrimination of human agents. Nature Neuroscience, 9(9), 1186–1192.
- Pelphrey, K. A., Morris, J. P., & McCarthy, G. (2004). Grasping the intentions of others: The perceived intentionality of an action influences activity in the superior temporal sulcus during social perception. Journal of Cognitive Neuroscience, 16(10), 1706–1716.
- Premack, D., & Woodruff, G. (1978). Does the chimpanzee have a theory of mind? Behavioral and Brain Sciences, 1(4), 515–526.
- Rhodes, G., Jeffery, L., Taylor, L., & Ewing, L. (2013). Autistic traits are linked to reduced adaptive coding of face identity and selectively poorer face recognition in men but not women. Neuropsychologia, 51(13), 2702–2708.
- Saygin, A. P., Cook, J., & Blakemore, S. J. (2010). Unaffected perceptual thresholds for biological and non-biological form-from-motion perception in autism spectrum conditions. PLoS ONE, 5(10), e13491.
- Scholl, B. J., & Tremoulet, P. D. (2000). Perceptual causality and animacy. Trends in Cognitive Sciences, 4(8), 299–309.
- Simion, F., Regolin, L., & Bulf, H. (2008). A predisposition for biological motion in the newborn baby. Proceedings of the National Academy of Sciences of the United States of America, 105(2), 809–813.
- The_HBP-PS_Consortium (2012). The human brain project. A Report to the European Commission. Lausanne, Switzerland.
- Thurman, S. M., & Lu, H. (2013). Physical and biological constraints govern perceived animacy of scrambled human forms. Psychological Science, 24(7), 1133–1141.
- Van de Cruys, S., de-Wit, L., Evers, K., Boets, B., & Wagemans, J. (2013). Weak priors versus overfitting of predictions in autism: Reply to Pellicano and Burr (TICS, 2012). i-Perception, 4(2), 95–97.
- Zilbovicius, M., Meresse, I., Chabane, N., Brunelle, F., Samson, Y., & Boddaert, N. (2006). Autism, the superior temporal sulcus and social perception. Trends in Neurosciences, 29(7), 359–366.
Further Reading
- Blake, R., & Shiffrar, M. (2007). Perception of human motion. Annual Review of Psychology, 58, 47–73.
- Feldman, H., & Friston, K. J. (2010). Attention, uncertainty, and free-energy. Frontiers in Human Neuroscience, 4, 215.
- Frith, C. D., & Frith, U. (2006). The neural basis of mentalizing. Neuron, 50(4), 531–534.
- Michotte, A. (1946/1963). The perception of causality.
- Scholl, B. J., & Tremoulet, P. D. (2000). Perceptual causality and animacy. Trends in Cognitive Sciences, 4(8), 299–309.
Browse other articles of this reference work: