Examining Functional Spatial Perception in 10-Year-Olds and Adults

Author:

Ishak Shaziela1ORCID,Haymaker Julie1

Affiliation:

1. School of Social Science and Human Services, Ramapo College of New Jersey, Mahwah, NJ, USA

Abstract

This study examined a specific type of spatial perception, functional spatial perception, in 10-year-old children and adults. Functional spatial perception involves anticipating actions made with objects to fulfill a function, or, in this case, fitting objects through openings. We examined accuracy, sensitivity, and consistency in participants' abilities to adjust a window to the smallest opening through which a small wooden cube would fit. Success at this task requires accounting for the dimensions of both the object and the opening. In life circumstances, poor decisions at similar tasks may result in injury, frustration, or property damage. As much previous work in this area included very young children and adults, we sought to determine whether older children (10-year-olds) would show adult-like skills. Ten-year-old participants were as equally accurate and sensitive as adults, and both groups left a safety margin in performing this task; but we found that adults made more consistent judgments than 10-year-olds. There are developmental implications for these findings, given daily real-life needs to accurately gauge functional spatial relations and navigate objects in real life.

Funder

Ramapo College Foundation

Ramapo College Teaching Learning and Technology Roundtable

Publisher

SAGE Publications

Subject

Sensory Systems,Experimental and Cognitive Psychology

Reference38 articles.

1. Anderson, L. (2014). Visual-spatial ability: Important in STEM, ignored in gifted education. Roeper Review, 36, 114–121.

2. Austin, R. (2008). Fatalities and injuries in motor vehicle backing crashes: report to congress (Report No. DOT HS 811 144). Washington, DC: U.S. Department of Transportation.

3. A Developmental Perspective on Executive Function

4. The Human Brain Age 7–11 Years: A Volumetric Analysis Based on Magnetic Resonance Images

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