Fundamental units of numerosity estimation

Chakravarthi, Ramakrishna; Nordqvist, Andy; Poncet, Marlene; Adamian, Nika

doi:10.1016/j.cognition.2023.105565

Cognition

2023

DOI: 10.1016/j.cognition.2023.105565

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Fundamental units of numerosity estimation

Ramakrishna Chakravarthi,

Andy Nordqvist,

Marlene Poncet

et al.

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2024

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Cited by 3 publications

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“…With respect to grouping, she notes that when observers perceive the configuration as having subgroups, they will tend to underestimate. Recent work has found that creating subgroups, for example with different colours, leads to underestimation (Chakravarthi et al, 2023;Poom et al, 2019). Similarly, clustering of elements, by proximity, leads to understimation (Bertamini et al, 2016;Valsecchi et al, 2013).…”

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Silvia De Marchi (1929) on numerical estimation: A translation and commentary

Bertamini,

Bobbio

2024

Perception

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Vittorio Benussi (1878–1927) is known for numerous studies on optical illusions, visual and haptic perception, spatial and time perception. In Padova, he had a brilliant student who carefully worked on the topic of how people estimate numerosity, Silvia De Marchi (1897–1936). Her writings have never been translated into English before. Here we comment on her work and life, characterized also by the challenges faced by women in academia. The studies on perception of numerosity from her thesis were published as an article in 1929. We provide a translation from Italian, a redrawing of its 23 illustrations and of the graphs. It shows an original experimental approach and an anticipation of what later became known as magnitude estimation.

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confidence: 99%

Silvia De Marchi (1929) on numerical estimation: A translation and commentary

Bertamini,

Bobbio

2024

Perception

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The interplay between spatial and non-spatial grouping cues over approximate number perception

Adriano,

Ciccione

2024

Atten Percept Psychophys

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An object numbering task reveals an underestimation of complexity for typically structured scenes

Carter,

Kaiser

2024

Psychon Bull Rev

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Our visual environments are composed of an abundance of individual objects. The efficiency with which we can parse such rich environments is remarkable. Previous work suggests that this efficiency is partly explained by grouping mechanisms, which allow the visual system to process the objects that surround us as meaningful groups rather than individual entities. Here, we show that the grouping of objects in typically and meaningfully structured environments directly relates to a reduction of perceived complexity. In an object numerosity discrimination task, we showed participants pairs of schematic scene miniatures, in which objects were structured in typical or atypical ways and asked them to judge which scene consisted of more individual objects. Critically, participants underestimated the number of objects in typically structured compared with atypically structured scenes, suggesting that grouping based on typical object configurations reduces the perceived numerical complexity of a scene. In two control experiments, we show that this overestimation also occurs when the objects are presented on textured backgrounds, and that it is specific to upright scenes, indicating that it is not related to basic visual feature differences between typically and atypically structured scenes. Together, our results suggest that our visual surroundings appear less complex to the visual system than the number of objects in them makes us believe.

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Fundamental units of numerosity estimation

Cited by 3 publications

References 69 publications

Silvia De Marchi (1929) on numerical estimation: A translation and commentary

Silvia De Marchi (1929) on numerical estimation: A translation and commentary

The interplay between spatial and non-spatial grouping cues over approximate number perception

An object numbering task reveals an underestimation of complexity for typically structured scenes

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