Bernard, JürgenJürgenBernardVögele, AnnaAnnaVögeleKlein, ReinhardReinhardKleinFellner, Dieter W.Dieter W.Fellner2022-03-132022-03-132017https://publica.fraunhofer.de/handle/publica/39601210.5220/0006127502170224Many analysis goals involving human motion capture (MoCap) data require the comparison of motion patterns. Pioneer works in visual analytics recently recognized visual comparison as substantial for visual-interactive analysis. This work reflects the design space for visual-interactive systems facilitating the visual comparison of human MoCap data, and presents a taxonomy comprising three primary factors, following the general visual analytics process: algorithmic models, visualizations for motion comparison, and back propagation of user feedback. Based on a literature review, relevant visual comparison approaches are discussed. We outline remaining challenges and inspiring works on MoCap data, information visualization, and visual analytics.encomparative visualizationhuman motion analysisHuman-computer interaction (HCI)information visualizationVisual analyticsinformation retrievaldata miningmachine learningLead Topic: Visual Computing as a ServiceResearch Line: Human computer interaction (HCI)006conference paper