Holistic ensemble perception.

In a glance, observers can evaluate gist characteristics from crowds of faces, such as the average emotional tenor or the average family resemblance. Prior research suggests that high-level ensemble percepts rely on holistic and viewpoint-invariant information. However, it is also possible that feature-based analysis was sufficient to yield successful ensemble percepts in many situations. To confirm that ensemble percepts can be extracted holistically, we asked observers to report the average emotional valence of Mooney face crowds. Mooney faces are two-tone, shadow-defined images that cannot be recognized in a part-based manner. To recognize features in a Mooney face, one must first recognize the image as a face by processing it holistically. Across experiments, we demonstrated that observers successfully extracted the average emotional valence from crowds that were spatially distributed or viewed in a rapid temporal sequence. In a subsequent set of experiments, we maximized holistic processing by including only those Mooney faces that were difficult to recognize when inverted. Under these conditions, participants remained highly sensitive to the average emotional valence of Mooney face crowds. Taken together, these experiments provide evidence that ensemble perception can operate selectively on holistic representations of human faces, even when feature-based information is not readily available.

Fleeting impressions of economic value via summary statistical representations.

Visual processing is limited: we cannot exhaustively analyze every object in a scene in a brief glance. However, ensemble perception affords the visual system a rapid shortcut to efficiently evaluate multiple objects. Ensemble processing has been widely tested across basic features. However, ensemble perception could be especially important and valuable for processes that are normally thought to require cognitive deliberative effort. One typical high-level cognitive process that humans engage in frequently is evaluating the value of objects. Here, we presented brief displays of consumer products to human observers and measured their visual sensitivity to the average value of the sets. We found that participants were sensitive to the average value of sets of products even when they did not have explicit memory for every item in the display. Our results show that value judgments can be based on ensemble information. Although value is thought to be an inferential concept, ensemble processing affords the brain a heuristic to efficiently assign value to entire sets of objects. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Ensemble Perception.

To understand visual consciousness, we must understand how the brain represents ensembles of objects at many levels of perceptual analysis. Ensemble perception refers to the visual system's ability to extract summary statistical information from groups of similar objects-often in a brief glance. It defines foundational limits on cognition, memory, and behavior. In this review, we provide an operational definition of ensemble perception and demonstrate that ensemble perception spans across multiple levels of visual analysis, incorporating both low-level visual features and high-level social information. Further, we investigate the functional usefulness of ensemble perception and its efficiency, and we consider possible physiological and cognitive mechanisms that underlie an individual's ability to make accurate and rapid assessments of crowds of objects.

Ensemble crowd perception: a viewpoint-invariant mechanism to represent average crowd identity.

Individuals can rapidly and precisely judge the average of a set of similar items, including both low-level (Ariely, 2001) and high-level objects (Haberman & Whitney, 2007). However, to date, it is unclear whether ensemble perception is based on viewpoint-invariant object representations. Here, we tested this question by presenting participants with crowds of sequentially presented faces. The number of faces in each crowd and the viewpoint of each face varied from trial to trial. This design required participants to integrate information from multiple viewpoints into one ensemble percept. Participants reported the mean identity of crowds (e.g., family resemblance) using an adjustable, forward-oriented test face. Our results showed that participants accurately perceived the mean crowd identity even when required to incorporate information across multiple face orientations. Control experiments showed that the precision of ensemble coding was not solely dependent on the length of time participants viewed the crowd. Moreover, control analyses demonstrated that observers did not simply sample a subset of faces in the crowd but rather integrated many faces into their estimates of average crowd identity. These results demonstrate that ensemble perception can operate at the highest levels of object recognition after 3-D viewpoint-invariant faces are represented.

Extracting the mean size across the visual field in patients with mild, chronic unilateral neglect.

Previous studies suggest that normal vision pools information from groups of objects in a display to extract statistical summaries (e.g., mean size). Here we explored whether patients with mild, chronic left neglect were able to extract statistical summaries on the right and left sides of space in a typical manner. We tested four patients using a visual search task and varied the mean size of a group of circles within the display. On each trial, a single circle first appeared in the center of the screen (the target). This circle varied in size from trial to trial. Then a multi-item display appeared with circles of various sizes grouped together either on the left or right side of the display. The instructions were to search the circles and determine whether the target was present or not. The circles were always accompanied by a group of task-irrelevant triangles that appeared on the opposite side of the display. On half the trials, the mean size of the circles was the size of the target. On the other half the mean size was different from the target. The patients were not told that this was the case, and no explicit report of the statistics was required. The results showed that when the targets were absent patients produced more false alarms to the mean than non-mean size when the circles were on the left (neglected) side of the display. This finding demonstrates that statistical information was implicitly extracted from the left group of circles. However, summary statistics on the right side were not limited to the circles. Rather it appears that participants pooled the distractors with the target circles, yielding a skewed statistical summary on the right side. These findings are discussed as they relate to statistical summary processing, visual search and segregation of right and left items in patients with mild, chronic unilateral neglect.