MDE - Multimodal Data Explorer for Flexible Visualization of Multiple Data Streams

Isabelle Arthur, Jordan Quinn, Rajesh Titung, Cecilia O. Alm, Reynold Bailey

Abstract: Static data visualizations are pervasive across STEM research disciplines. However, as the complexity of datasets continues to grow, often incorporating multiple modalities, the limitations of static visualization become apparent. Multimodal datasets require new tools for data exploration and visualization. In response to the limited capabilities of prior alternatives which tend to be less flexible or center on project-specific visualizations for data exploration, we are developing the Multimodal Data Explorer (MDE) - a novel application which is capable of exploring custom time-series multimodal data in context, providing a comprehensive solution that can enable a deeper understanding of the relationships between multiple streams of data. In addition, the client-server design of MDE facilitates multiple users’ data exploration at the same time.

External IDs:dblp:conf/acii/ArthurQTAB23