Qualitative studies on human-data interaction and data analysis collaboration in Latin America

Abstract

Professionals from different areas deal with data in various formats and do not always know how to extract information and knowledge from those datasets. Our studies focused on getting the user (data analyst) to reflect and project interactive narrative visualizations based on data. We used a model to help users to build knowledge about computing resources and techniques they may appropriate and employ in a data analysis context. Our results indicate pertinent ways of representing relevant narrative aspects in data visualizations. The purpose of this work is to investigate people's needs in relation to data analysis, and define strategies and solutions to bridge the gap between data-analysis professionals and computational solutions. Additionally, given the importance of culture in HDI research, we believe we need to direct our efforts to develop human-data interaction in LatAm context.