Philip Kellman

Philip Kellman is Distinguished Professor of Psychology and the current cognitive psychology area chair at University of California, Los Angeles. He is also the creator and president of Insight Learning Technology, Inc, a company that aims to apply perceptual learning and adaptive learning technology to improve education. His research interests involve perception and visual cognition, specifically visual perception of objects, space, and motion. He is also an expert in perceptual learning, adaptive learning, and their applications to skill acquisition and educational technology.

Kellman obtained his Bachelor of Science with honors from Georgetown University in 1976. From there he earned his PhD from the University of Pennsylvania in 1980. His PhD advisor was Elizabeth Spelke. Upon graduation, he was a professor at Swarthmore College before joining the UCLA faculty in 1994.

Visual Perception of Objects, Contours, and Surfaces

Books

• Shipley, T.F. & Kellman, P. J. (Eds.). (2001). From Fragments to Objects: Segmentation and Grouping in Vision. Amsterdam: Elsevier Science Press. ISBN 0-444-50506-7
• Kellman, P.J. & Arterberry, M. (1998). The Cradle of Knowledge: Perceptual Development in Infancy. Cambridge, MA: MIT Press. ISBN 0-262-11232-9

Articles

• Keane, B., Mettler, E., Tsoi, V., & Kellman, P. J. (2011). Contour interpolation automatically directs attention in multiple object tracking. Journal of Experimental Psychology: Human Perception & Performance.
• Kalar, D., Garrigan, P., Hilger, J., Wickens, T. & Kellman, P.J. (2010). A unified model for contour interpolation. Vision Research, 50(3), 284-299.
• Fantoni, C., Hilger, J., Gerbino, W. & Kellman, P. J. (2008). Surface interpolation and 3D relatability. Journal of Vision, Vol. 8, No. 7, Article 29, 1-19.
• Keane, B. P., Lu, H., & Kellman, P. J. (2007). Classification images reveal spatiotemporal interpolation in illusory figures. Vision Research, 47, 3460-3475.
• Kellman, P.J., Garrigan, P.B., Shipley, T.F. & Keane, B.P. (2007). Interpolation processes in object perception: A reply to Anderson. Psychological Review, 114(2): 488-502.
• Palmer, E. M., Kellman, P. J., & Shipley, T. F. (2006). A theory of dynamic occluded and illusory object perception. Journal of Experimental Psychology: General, 135, 513–541. (Selected for American Psychological AssociationYoung Investigator Award – best paper published in JEP: General in 2006 by a young investigator (Evan Palmer).)

Perceptual and Adaptive Learning and their Applications

• Massey, C.M., Kellman, P.J., Roth, Z. & Burke, T. (2011). Perceptual learning and adaptive learning technology: Developing new approaches to mathematics learning in the classroom. In Stein, N.L. (Ed.), Developmental and learning sciences go to school: Implications for education.
• Kellman, P.J., Massey, C.M & Son, J. (2010). Perceptual learning modules in mathematics: Enhancing students' pattern recognition, structure extraction, and fluency. Topics in Cognitive Science (Special Issue on Perceptual Learning),Vol. 2, Issue 2, 285-305.
• Kellman, P.J. & Garrigan, P.B. (2009). Perceptual learning and human expertise. Physics of Life Reviews, Vol. 6, No. 2, 53-84.
• Garrigan, P.B. & Kellman, P.J. (2008). Perceptual learning depends on perceptual constancy. Proceedings of the National Academy of Sciences (USA), Vol. 105, No. 6, 2248-2253.
• Kellman, P.J., Massey, C.M., Roth, Z., Burke, T., Zucker, J., Saw, A., Aguero, K.E. & Wise, J.A. (2008). Perceptual learning and the technology of expertise: Studies in fraction learning and algebra. Learning Technologies and Cognition: Special issue of Pragmatics & Cognition, 16:2 (2008), 356–405.
• Kellman, P.J. (2002). Perceptual learning. In R. Gallistel (Ed.), Stevens' handbook of experimental psychology, third edition, Vol. 3 (Learning, motivation and emotion), John Wiley & Sons.