A Computational Model of Spatial Visualization Capacity

Autor/inn/en	Lyon, Don R.; Gunzelmann, Glenn; Gluck, Kevin A.
Titel	A Computational Model of Spatial Visualization Capacity
Quelle	In: Cognitive Psychology, 57 (2008) 2, S.122-152 (31 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0010-0285
DOI	10.1016/j.cogpsych.2007.12.003
Schlagwörter	Visualization; Spatial Ability; Problem Solving; Measures (Individuals); Memory; Models + Suchen Sie Ihr Suchwort? Visualisation; Visualisierung; Räumliches Vorstellungsvermögen; Problemlösen; Messdaten; Gedächtnis; Analogiemodell
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 longstanding 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. (Contains 9 figures.) (As Provided).
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Update	2017/4/10