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Visual task characterization for automated visual discourse synthesis
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Readings in information visualization: using vision to think
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Automating the design of graphical presentations of relational information
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The grammar of graphics
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ETRA '00 Proceedings of the 2000 symposium on Eye tracking research & applications
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Communications of the ACM
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CHI '02 Extended Abstracts on Human Factors in Computing Systems
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INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
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CHI '06 Extended Abstracts on Human Factors in Computing Systems
ACM Transactions on Applied Perception (TAP)
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Human-Computer Interaction
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Human-Computer Interaction
A Nested Model for Visualization Design and Validation
IEEE Transactions on Visualization and Computer Graphics
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23rd French Speaking Conference on Human-Computer Interaction
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When designing a representation, a designer implicitly formulates a sequence of visual tasks required to understand and use the representation effectively. This paper aims to make the sequence of visual tasks explicit, in order to help designers eliciting their design choices. In particular, we present a set of concepts to systematically analyze what a user must theoretically do to decipher representation. The analysis consists of a decomposition of the activity of scanning into elementary visualization operations. We show how the analysis applies to various existing representations, and how expected benefits can be expressed in terms of elementary operations. The set of elementary operations form the basis of a shared, common language for representation designers. The decomposition highlights the challenges encountered by a user when deciphering a representation, and helps designers to exhibit possible flaws in their design, justify their choices, and compare designs.