Evaluation of the uncertainty-awareness principle using a tumor detection scenario

TitleEvaluation of the uncertainty-awareness principle using a tumor detection scenario
Publication TypeConference Paper
Year of Publication2018
AuthorsMaack, Robin, Hagen Hans, and Gillmann Christina
Conference NameProceedings of the VisGuides: 2nd Workshop on the Creation, Curation, Critique and Conditioning of Principles and Guidelines in Visualization
AbstractThe acquisition process of real world data is usually affected by uncertainty, that can have a huge impact for decision making processes. The uncertainty principle tries to address this problem and gives guidelines to quantify, propagate and communicate the uncertainty of a dataset. Although there exist a variety of work that addresses this principle, the uncertainty principle is not evaluated fully. In this work, we utilize a tumor detection scenario from the medical area and applied the uncertainty principle in its entirety. Based on this, we performed a user evaluation that tries to identify the quality of the uncertainty principle in comparison to a standard visualization approach. We summarize the pros and cons of the uncertainty principles according to different measures. Our study shows, that the uncertainty principle helps users to detect the boundary with more certainty and understand the quality of the underlying image data.