Abstract
Mental models are internal representations of external phenomena. During their interaction with visualizations, the users construct mental models to represent these visualizations internally, to visually reason on them and solve problems with them. This chapter synthesizes existing theories on mental models and visualization to discuss their role and relevance for the design of visualization systems. From a mental models perspective, we discuss two challenges of visualization design: (a) supporting the initial construction of mental models and (b) supporting the integration of information from multiple views by synchronous or sequential coherence techniques. We argue that the theory of mental models allows to understand visualization research and practice in a more unified fashion as an advanced model-building endeavor, operating on human computer ensembles engaged in “distributed cognition.”
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Notes
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As we will argue later on, visualization theory would also benefit from integrating narrative sequences and stories into the second category of behavioral models (Sect. 3.3.2.2), so that the mental model concept can cover representations of static structures and time-oriented sequences in an equal fashion—similar to the distinction of cognitive schemata and cognitive scripts [44].
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Due to the prevalence of user-oriented design, the quality of visualizations as external representations is tied back to the quality of the internal representations that they generate (e.g., the utility, efficiency, correctness, esthetic appeal, etc.). Arguably, it is this circle, which makes it relevant for visualization designers to know about cognitive principles (i.e., from Gestalt and color perception to more complex model construction and reasoning processes) to design for the effective amplification of perceptual and cognitive processes.
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A large part of the basic research on mental models has been done in the context of text comprehension and with regard to subject matters, where a spatial layout of environmental data is given. In such a context, understanding an external representation (e.g., the description of a built environment) requires the construction of a mental model, for which a visual-spatial isomorphy between relevant aspects of internal and external representations should be achieved—and is relatively easy to verify. Despite the fact that (the rules of construction for) external representations preserving a spatial layout are widely known and universally established (e.g., by naturalistic images, miniature models, or instances of “scientific visualization”), it is known that the initial build-up of an internal model (i.e., internalization) is cognitively and energetically demanding. This holds even more true for the internalization of pictures which spatialize abstract or conceptual data due to the rules of a diagrammatic syntax (often summarized as techniques of “information visualization”). Especially, if the users are not familiar with the rules of construction, they face higher barriers as they have to build up both: a (structurally and behaviorally) isomorphic model from the external representation and a basic understanding of the principles or rules of image construction (visualization literacy [6]).
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This work has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 101004825 and from the Austrian Science Fund (FWF), Project No. P28363-G24.
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Windhager, F., Mayr, E. (2023). Mental Models and Visualization. In: Albers Szafir, D., Borgo, R., Chen, M., Edwards, D.J., Fisher, B., Padilla, L. (eds) Visualization Psychology. Springer, Cham. https://doi.org/10.1007/978-3-031-34738-2_3
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