Young Children's Self-Generated Object Views and Object Recognition

By Karin Harman James, S. Jones, Linda B. Smith, Shelley N. Swain. 2014

50 citations recorded by the source corpus.

Two important and related developments in children between 18 and 24 months of age are the rapid expansion of object name vocabularies and the emergence of an ability to recognize objects from sparse representations of their geometric shapes. In the same period, children also begin to show a preference for planar views (i.e., views of objects held perpendicular to the line of sight) of objects they manually explore. Are children's emerging view preferences somehow related to contemporary changes in object name vocabulary and object perception? Children aged 18 to 24 months old explored richly detailed toy objects while wearing a head camera that recorded their object views. Both children's vocabulary size and their success in recognizing sparse three-dimensional representations of the geometric shapes of objects were significantly related to their spontaneous choice of planar views of those objects during exploration. The results suggest important interdependencies among developmental changes in perception, action, word learning, and categorization in very young children.

Subfields: Automotive Engineering, Computer Vision and Pattern Recognition, Developmental and Educational Psychology, Cognitive Science & Psychology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

In Computer Vision and Pattern Recognition

In Developmental and Educational Psychology

In Cognitive Science & Psychology

Citations in the corpus

Environmental drivers of systematicity and generalization in a situated agent (2019, background): “…in artiﬁcial neural networks if those networks are afforded access to a rich, interactive, multimodal stream of stimuli that better matches the experience of an embodied human learner (Clerkin et al., 2017; Kellman & Arterberry, 2000; James et al., 2014; Yurovsky et al., 2013; Anderson, 2003).”
Emergent Systematic Generalization in a Situated Agent (2019, background): “…in artiﬁcial neural networks if those networks are afforded access to a rich, interactive, multimodal stream of stimuli that better matches the experience of an embodied human learner (Clerkin et al., 2017; Kellman & Arterberry, 2000; James et al., 2014; Yurovsky et al., 2013; Anderson, 2003).”
A Developmental Approach to Machine Learning? (2017, methodology): “The biases created by how hands hold objects may have a visual source as well in that they are stronger when toddlers hold and view objects contained in transparent spheres (James et al., 2014b) such that all views are equipotential with respect to the hands.”
Incremental Object Learning From Contiguous Views (2019, background): “Third, when infants hold and manipulate objects, they generate extended, contiguous views that may help in revealing 3D object shape [49, 21, 37].”