‘Tokenized’ Dynamic Diagrams: An Approach for Improving Mental Model Construction?

The Animation Processing Model (APM) is concerned with perceptual and cognitive processes that are central to constructing a high quality mental model from a dynamic depiction of complex subject matter [1]. Mental model theory [2, 3] posits that tokens are fundamental to how the mind represents knowledge – they are the raw material from which mental models are composed. Conventionally-designed comprehensive’
animations depict their subject matter in an essentially literalmanner with characteristics that have little in common with hypothesized properties of tokens [4]. One possible approach for optimizing the effectiveness of animations would be to design them so that internal ‘tokenization’ of the externally presented information is facilitated.

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