Real-world object size is automatically activated by mid-level shape features
Long, Konkle, & Alvarez
When we recognize an object, we automatically know how big it is in the
world (Konkle & Oliva, 2012). Here we asked whether this automatic activation
relies on explicit recognition at the basic level category of the object,
or whether it can be triggered by mid-level visual features. To explore this
question, we gathered images of big and small objects (e.g. car, shoe), and
then generated texture stimuli by coercing white noise to match the midlevel
image statistics of the original objects (Freeman & Simoncelli, 2011).
Behavioral ratings confi rmed that these textures were unidentifi able at
the basic-level (N=30, 2.8% SD: 4%). In Experiment 1, participants made
a speeded judgment about which of two textures was visually bigger or
smaller on the screen. Critically, the visual sizes of the textures were either
congruent or incongruent with real-world sizes of the original images.
Participants were faster at judging the visual size of the texture when
it's original size was congruent (M=504 ms) vs. incongruent (M=517 ms)
with it's size on the screen (t(15)=3.79, p< .01). This result suggests that
these texture stimuli preserve shape features that are diagnostic of real-world
size and automatically activate this association. Consistent with this
interpretation, we found that a new set of observers could correctly classify
these textures as big or small in the real-world at a rate slightly above
chance (N=30, small objects, 63.2%, big objects: 56.4%), and that the magnitude
of the Stroop effect was greater when judging textures that were
more consistently associated with big or small real-world sizes (F(1, 23)=38,
p< 0.001). Taken together, these results suggest that mid-level visual features
are sufficient to automatically activate real-world size information.
Long, B., Konkle, T. & Alvarez, G. (2015).
Real-world object size is automatically activated by mid-level shape features.
Talk presented at the annual meeting of the Vision Sciences Society, May 15-20, St. Pete Beach, FL.