A Bounded Measure for Estimating the Benefit of Visualization (Part II): Case Studies and Empirical Evaluation.

ABSTRACT: Many visual representations, such as volume-rendered images and metro maps, feature a noticeable amount of information loss due to a variety of many-to-one mappings. At a glance, there seem to be numerous opportunities for viewers to misinterpret the data being visualized, hence, undermining the benefits of these visual representations. In practice, there is little doubt that these visual representations are useful. The recently-proposed information-theoretic measure for analyzing the cost-benefit ratio of visualization processes can explain such usefulness experienced in practice and postulate that the viewers' knowledge can reduce the potential distortion (e.g., misinterpretation) due to information loss. This suggests that viewers' knowledge can be estimated by comparing the potential d

SUBMITTER: Chen M 

PROVIDER: S-EPMC8871169 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature