Jason Haberman

Dr. Haberman is an associate professor in psychology and a member of the neuroscience program. His research focuses broadly on visual perception, with a focus on a phenomenon known as ensemble perception. This critical heuristic, or shortcut, allows us to represent copious amounts of information using summary statistics. For example, we can readily see the ′average in the crowd,′ whether that average is motion, size, or even facial expression. Ensemble perception helps provide us with the sense of a complete visual world, even though at any given moment we are explicitly aware of only a very small fraction of it.

Dr. Haberman′s CV 

Additional information on Dr. Haberman′s research

Selected Publications

Note * indicates undergraduate student coauthor

Haberman, J. & Suresh, S. (2021). Ensemble size judgments account for size constancy. Attention, Perception, & Psychophysics, 1-9. DOI: 10.3758/s13414-020-02144-6

Alwis, A. & Haberman, J. (2020). Emotional judgments of scenes are influenced by unintentional averaging. Cognitive Research: Principles and Implications. 5(28). https://doi.org/10.1186/s41235-020-00228-3.

Won, B.Y., Haberman, J., Bliss-Moreau, E., & Geng, J.J. (2020). Flexible attentional templates for emotional faces improve visual search accuracy. Attention, Perception, & Psychophysics. https://doi.org/10.3758/s13414-019-01965-4.

McDowell., M.* & Haberman, J. (2019). The Frozen Effect: Objects in motion are more aesthetically appealing than objects frozen in time. PLoS one, 14(5), e0215813.

Haberman, J. & Ulrich, L.* (2019). Precise ensemble face representation given incomplete visual input. i-Perception. 10(1), 204166918819014.

ZeeAbrahamsen, E.* & Haberman, J. (2018). Correcting ‘Confusability Regions’ in face morphs. Behavior Research Methods. https://doi.org/10.3758/s13428-018-1039-2.

Haberman, J., Lee, P., & Whitney, D. (2015). Mixed emotions: Sensitivity to facial variance in a crowd of faces. Journal of Vision, 15(16.doi:10.1167/15.4.16).

Haberman, J., Brady, T.F., & Alvarez, G.A. (2015). Individual differences in ensemble perception reveal multiple, independent levels of ensemble representation. Journal of Experimental Psychology: General, 144(2),  432-446.

Whitney, D., Haberman, J., & Sweeny, T.D. (2013). From textures to crowds: Multiple levels of summary statistical perception. In J.S. Werner and L.M. Chalupa (Eds.), The New Visual Neurosciences (pp.695-710): MIT Press.

Haberman, J. & Whitney, D. (2012). Ensemble Perception: Summarizing the scene and broadening the limits of visual processing. In J. Wolfe and L. Robertson (Eds.), From Perception to Consciousness: Searching with Anne Treisman. Oxford University Press.

Haberman, J. & Whitney, D. (2011). Efficient summary statistical representation when change localization fails. Psychonomic Bulletin & Review, 18(5), 955-859.

Haberman, J. & Whitney, D. (2010). The visual system discounts emotional deviants when extracting average expression. Attention, Perception, & Psychophysics, 72, 1825-1838.

Haberman, J., Harp, T., & Whitney, D. (2009). Averaging facial expression over time. Journal of Vision, 9(11):1, 1-13.

Haberman, J. & Whitney, D. (2009). Seeing the mean: Ensemble coding for sets of faces. Journal of Experimental Psychology: Human Perception and Performance 35(3).

Haberman, J. & Whitney, D. (2007). Rapid extraction of mean emotion and gender from sets of faces. Current Biology, 17(17), R751-R753.