Articulate+
A Conversational Interface for Democratizing Visual Analysis
Articulate+ is an NSF-funded project led by Andrew Johnson (UIC/EVL) with co-PIs Barbara Di Eugenio (UIC/CS) and Moira Zellner (Northeastern University), and collaborator Jason Leigh (University of Hawaii at Manoa). The project generates new knowledge about how to empower people with information visualization by using speech, gesture and log data as input modalities for visual analytics, so that users can benefit from imprecise statements about what they want rather than giving the computer specific commands. Vague natural-language queries and gestures, contextualized by the visual analysis task at hand, are modeled as an opportunity for an intelligent system to learn the user’s underlying intent and respond with contextualized visualizations. The aim is to let citizens converse with the computer about economic, medical, demographic, transportation, climate and sports data, and thereby democratize data literacy. Evaluations in laboratory and naturalistic settings, along with the resulting annotated datasets, are shared with the research community.
Original news post: Articulate+ - A Conversational Interface for Democratizing Visual Analysis