FaceReview: supporting interactive exploration of linked heterogeneous datasets for unilateral cleft lip and palate

Children with unilateral cleft lip and palate (UCLP) suffer from negative public perceptions. A better treatment strategy should be established to help them live an ordinary life with improved perceptions. To do that, it is important to understand the relationship between physical facial features and perceptual judgment. In this paper, we present FaceReview, a new visualization system to support interactive exploration of a heterogeneous multidimensional dataset with facial measurement data and subjective judgment data. To seamlessly link the two data, we design FaceReview based on information visualization techniques that are proven to be useful and therefore commonly used, such as brushing and linking, small multiples, and dynamic query. Our design decisions successfully support exploratory tasks of our collaborators. We present a case study to show the efficacy of FaceReview.