Accession Number : ADA505006


Title :   A Computational Model of Spatial Visualization Capacity


Descriptive Note : Journal article


Corporate Author : L3 COMMUNICATIONS MESA AZ


Personal Author(s) : Lyon, Don R ; Gunzelmann, Glenn ; Gluck, Kevin A


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a505006.pdf


Report Date : 07 Mar 2008


Pagination or Media Count : 32


Abstract : Visualizing spatial material is a cornerstone of human problem solving, but human visualization capacity is sharply limited. To investigate the sources of this limit, we developed a new task to measure visualization accuracy for verbally-described spatial paths (similar to street directions), and implemented a computational process model to perform it. In this model, developed within the Adaptive Control of Thought-Rational (ACT-R) architecture, visualization capacity is limited by three mechanisms. Two of these (associative interference and decay) are long standing characteristics of ACT-R's declarative memory. A third (spatial interference) is a new mechanism motivated by spatial proximity effects in our data. We tested the model in two experiments, one with parameter-value fitting, and a replication without further fitting. Correspondence between model and data was close in both experiments, suggesting that the model may be useful for understanding why visualizing new, complex spatial material is so difficult.


Descriptors :   *VISUAL PERCEPTION , *COGNITION , PROBLEM SOLVING , LIMITATIONS , EXPERIMENTAL DESIGN , REPRINTS , MODEL THEORY


Subject Categories : Psychology
      Anatomy and Physiology


Distribution Statement : APPROVED FOR PUBLIC RELEASE