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Deriving a holistic cognitive fit model for an optimal visualization of data for management decisions

 

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Opened Access Deriving a holistic cognitive fit model for an optimal visualization of data for management decisions
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Author: Falschlunger, Lisa
Grabmann, Elisabeth
Lehner, Othmar
Losbichler, Heimo
Date: 2015
ISBN/ISSN: 9789036540568
Document type: Presentation
Abstract: Research shows that managerial decision making is directly correlated to both, the swift availability, and subsequently the ease of interpretation of the relevant information. Visualizations are already widely used to transform raw data into a more understandable format and to compress the constantly growing amount of information produced. However, research in this area is highly fragmented and results are contradicting. This paper proposes a preliminary model based on an extensive literature review including top current research on cognition theory. Furthermore an early stage validation of this model by experimental research using structural equation modeling is presented. The authors are able to identify task complexity as one of the most important predicting variables for information perception of visual data, however, other influences are significant as well (data density, domain expertise, working memory capacity and subjective visual complexity)
Size: 125.2Kb
Format: PDF

URI: http://hdl.handle.net/11441/54866

DOI: 10.3990/2.353

This work is under a Creative Commons License: 
Attribution-NonCommercial-NoDerivatives 4.0 Internacional

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