Vidya Setlur
About
Vidya Setlur is an Associate Professor at the University of Michigan School of Information and has a part-time affiliation with Tableau Research. Her research lies at the intersection of human-AI interaction, data visualization, and natural language processing, with a focus on helping people interact with and make sense of data through conversational and multimodal interfaces. Her work draws on information retrieval, human perception, and cognitive science to design, prototype, and evaluate novel ways of engaging with data and intelligent systems.
Since joining Tableau Research in 2012, Vidya has worked on various projects and prototypes involving semantics and visual representation such as semantic icon encoding and semantically resonant color palettes. She has also been interested in exploring analytical conversation using natural language interaction via a system called Eviza. Subsequently, as part of productizing Tableau's natural language feature, Ask Data, she moved to engineering and was a manager on the Natural Language Team at Tableau Software for a couple of years. There she focused primarily on developing the theory and engineering of user intent in analytical conversation to provide analytically useful interpretations of users' utterances.
A full list of her publications can be found here.
関心分野
- Computer Graphics
- Natural Language Processing
- HCI
- Mobile Computing
- Content Retargeting
- Iconography
- Maps