We present a cross-validation approach to assess animations of movement data. Specifically, we investigate if and how display design, data complexity and user background and training might influence participants’ decision-making with animated designs. Our triangulation approach is based on eye-tracking records, galvanic skin conductance responses, and electroencephalography data. We raise data analysis issues and data synchronization challenges for discussion at the workshop relating to data integration at various resolutions. With this empirical triangulation approach, we hope to better understand user decision-making with animated displays, and aim to develop sound animation design guidelines.