In this study, we derive important features to predict users' social support needs by applying various machine learning techniques on survey data. One finding is that users seeking …
In this paper, we developed and evaluated a visualization literacy assessment test (VLAT). It provides validity of the VLAT and discusses implications of the work to measure …
In this study, we conducted a design study with three biologists, which resulted in a visual analytics system called VisExpress for differential gene expression analysis.
Sampling is becoming an essential tool for scalable interactive visual analysis. After outlining prior work by the database community on sampling for visualization of aggregation …
In this paper, we introduce a novel visual analytics technique, called AxiSketcher, that transforms user's drawing into nonlinear axes for 2D scatterplot. User can further edit the …
In this study, we propose four personas.
In this study, we propose a visual analytics system called VisOHC, which allows users to explore online conversation between members of health communities. It also provides a …
This paper unpacks the uncertainties that propagate through visual analytics systems, illustrates how human's perceptual and cognitive biases influence the user's awareness of such …
In this paper, we evaluate the effects of common text highlighting techniques on users' task performances through a series of crowdsourced user studies. We provide ranking of text …
In this study, we conducted two crowdsourced studies to find the effects of the number of online product reviews and review valence on information overload.