Hannah Kim

TL;DR: This paper presents InterAxis, a visual analytics technique to properly interpret, define, and change an axis in a user-driven manner, and describes the details of the technique and demonstrates the intended usage through two scenarios.

TL;DR: The Visualization by Demonstration paradigm is presented, a novel interaction method for visual data exploration which allows users to provide visual demonstrations of incremental changes to the visual representation and a system which adopts this paradigm recommends potential transformations from the given demonstrations.

TL;DR: A novel topic modeling method based on joint nonnegative matrix factorization, which simultaneously discovers common as well as discriminative topics given multiple document sets and is capable of utilizing only the most representative, thus meaningful, keywords in each topic through a novel pseudo-deflation approach.

TL;DR: This paper introduces a technique to interpret a user's drawings with an interactive, nonlinear axis mapping approach called AxiSketcher, which enables users to impose their domain knowledge on a visualization by allowing interaction with data entries rather than with data attributes.

TL;DR: This article presents ArchiText, a prototype system for interactive hierarchical topic modeling, which offers fast, flexible, and algorithmically valid analysis via tight integration, and proposes computational base operations for interactive tasks to achieve the design goals.