Rethinking the Ranks of Visual Channels

@article{McColeman2022RethinkingTR,
  title={Rethinking the Ranks of Visual Channels},
  author={Caitlyn McColeman and Fumeng Yang and Steven L. Franconeri and Timothy F. Brady},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  year={2022},
  volume={28},
  pages={707-717}
}
Data can be visually represented using visual channels like position, length or luminance. An existing ranking of these visual channels is based on how accurately participants could report the ratio between two depicted values. There is an assumption that this ranking should hold for different tasks and for different numbers of marks. However, there is surprisingly little existing work that tests this assumption, especially given that visually computing ratios is relatively unimportant in real… 

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