Turkay, CagatayHenkin, RafaelAnna Puig and Renata Raidou2018-06-022018-06-022018978-3-03868-065-9https://doi.org/10.2312/eurp.20181128https://diglib.eg.org:443/handle/10.2312/eurp20181128The recent advances in natural language based interaction methodologies offer promising avenues to enhance the interactive processes within the human-machine dialogue of visual analytics. We envisage Multimodal Data Analytics as a novel approach for conducting data analysis that builds on the strengths of visual analytics and natural language as an expressive interaction channel. We investigate the potential enhancements from such a multimodal approach and discusses the preliminary outline for a structured methodology to study the role of natural language in data analytics. Our approach builds on a simple model of human machine dialogue for interactive data analysis which we then propose to instantiate as visual analytics workflows - representations to study and operationalise interactive data analysis routines empowered by natural language interaction.Humancentered computingVisual analytics10.2312/eurp.2018112853-55