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Cited by 247

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

A Cognitive Model for Understanding Graphical Perception

Lohse, Gerald Lee·1993·Human–Computer Interaction

Abstract

This article describes a computer program, UCIE (Understanding Cognitive Information Engineering) that simulates graphical perception. UCIE predicts response time to answer a question posed to a graphic display from assumptions about the sequence of eye fixations, short-term memory capacity and duration limits, and the degree of difficulty to acquire information in each glance. An empirical study compared actual performance to UCIE predictions over a range of display types and question types. The results yielded some support for the cognitive model. A zero-parameter model explains 37% of the variance in average reaction times (N = 1,128). However, the zero-parameter model only explains about 10% of the individual variation in reaction times across 28 subjects (N = 15,200). Although this is an important start to understand how we interpret visual displays for meaning, additional research is needed to explain individual differences in performance.

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Metadata

Authors
Lohse, G. L.
Venue
Human–Computer Interaction
Published
1993-12
Volume
8
Issue
4
Pages
353-388
ISSN
  • 0737-0024 (ISSN-L)
  • 1532-7051
OpenAlex
W2083009591
Cited by
247
References
4
FWCI
3.57
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.