How Many Objects Can You Track?: Evidence for a Resource-Limited Attentive Tracking Mechanism
Franconeri, Steven L.
MetadataShow full item record
CitationAlvarez, George A., and Steven L. Franconeri. "How Many Objects Can You Track? Evidence for a Resource-limited Attentive Tracking Mechanism." Journal Of Vision 7, no. 13 (2007): 14.1-10.
AbstractMuch of our interaction with the visual world requires us to isolate some currently important objects from other less important objects. This task becomes more difficult when objects move, or when our field of view moves relative to the world, requiring us to track these objects over space and time. Previous experiments have shown that observers can track a maximum of about 4 moving objects. A natural explanation for this capacity limit is that the visual system is architecturally limited to handling a fixed number of objects at once, a so-called magical number 4 on visual attention. In contrast to this view, Experiment 1 shows that tracking capacity is not fixed. At slow speeds it is possible to track up to 8 objects, and yet there are fast speeds at which only a single object can be tracked. Experiment 2 suggests that that the limit on tracking is related to the spatial resolution of attention. These findings suggest that the number of objects that can be tracked is primarily set by a flexibly allocated resource, which has important implications for the mechanisms of object tracking and for the relationship between object tracking and other cognitive processes.
Citable link to this pagehttp://nrs.harvard.edu/urn-3:HUL.InstRepos:41056876
- FAS Scholarly Articles 
Showing items related by title, author, creator and subject.
Li, Gang; Liu, Tianming; Tarokh, Ashley; Nie, Jingxin; Guo, Lei; Mara, Andrew; Holley, Scott; Wong, Stephen TC (BioMed Central, 2007)Background: Reliable segmentation of cell nuclei from three dimensional (3D) microscopic images is an important task in many biological studies. We present a novel, fully automated method for the segmentation of cell nuclei ...
Tracking the Culprit: HIV-1 Evolution and Immune Selection Revealed by Single-Genome Amplification Brumme, Zabrina L.; Walker, Bruce David (Rockefeller University Press, 2009)Early control of HIV-1 infection is determined by a balance between the host immune response and the ability of the virus to escape this response. Studies using single-genome amplification now reveal new details about the ...
Liu, Tianming; Tarokh, Ashley; Nie, Jingxin; Mara, Andrew; Holley, Scott; Wong, Stephen TC; Li, Gang; Guo, Lei (BioMed Central, 2007)Reliable segmentation of cell nuclei from three dimensional (3D) microscopic images is an important task in many biological studies. We present a novel, fully automated method for the segmentation of cell nuclei from 3D ...