A cognitive architecture-based model of graph comprehension

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)


I present a model of expert comprehension performance for 2×2 "interaction" graphs typically used to present data from two-way factorial research designs. Developed using the ACTR cognitive architecture, the model simulates the cognitive and perceptual operations involved in interpreting interaction graphs and provides a detailed characterisation of the information extracted from the diagram, the prior knowledge required to interpret interaction graphs, and the knowledge generated during the comprehension process. The model produces a scan path of attention fixations and a symbolic description of the interpretation which can be compared to human eye movement and verbal protocol data respectively, provides an account of the strategic processes that control comprehension, and makes explicit what underlies the differences between expert and novice performance.

Original languageEnglish
Title of host publicationProceedings of the 11th International Conference on Cognitive Modeling
Subtitle of host publication ICCM 2012
EditorsNele Rußwinkel, Uwe Drewitz, Hedderik Van Rijn
Number of pages6
ISBN (Electronic)9783798324084
Publication statusPublished - 13 Apr 2012
Event11th International Conference on Cognitive Modelling - Berlin, Germany
Duration: 13 Apr 201215 Apr 2012
Conference number: 11


Conference11th International Conference on Cognitive Modelling
Abbreviated titleICCM2012
Internet address


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