APS
30th APS Annual Convention · 2018
Matrices Support Relational Learning of Categories Better Than Linear Displays but Do Not Improve Spatial Transfer of Those Categories
- Caylor Davis
California State University, Los Angeles - Brittany Ayala
California State University, Los Angeles - Amanda Rico
California State University, Los Angeles - Ji Son
California State University, Los Angeles
Abstract
This study examined whether the spatial arrangement of pictorial information could support improved relational inference and spatial transfer of learned categories to new spatial arrangements. Results revealed improved relational learning in matrix displays compared to linear displays, but no improvement in spatial transfer.
Learning