Natural language interfaces for data visualizations tools are growing in importance, but little research has been done on how a system should respond to questions that contain vague modifiers like "high'' and "expensive.'' This paper makes a first step toward design guidelines for this problem, based on existing research from cognitive linguistics and the results of a new empirical study with 274 crowd worker participants. A comparison of four bar chart-based views finds that highlighting the top items according to distribution-sensitive values is preferred most cases and is a good starting point as a design guideline.
Sunday, October 20, 2019
IEEE Vis - Oct 20-25, 2019 (to appear)