14 citations · 16 across the 4 of their papers we have counts for
9 papers
Inferential Tasks as an Evaluation Technique for Visualization
Ashley Suh, Ab Mosca, Shannon Robinson +4
Designing suitable tasks for visualization evaluation remains challenging. Traditional evaluation techniques commonly rely on 'low-level' or 'open-ended' tasks to assess the effica…
Does Interaction Improve Bayesian Reasoning with Visualization?
Ab Mosca, Alvitta Ottley, Remco Chang
Interaction enables users to navigate large amounts of data effectively, supports cognitive processing, and increases data representation methods. However, there have been few atte…
Let's Gamble: How a Poor Visualization Can Elicit Risky Behavior
Melanie Bancilhon, Zhengliang Liu, Alvitta Ottley
Data visualizations are standard tools for assessing and communicating risks. However, it is not always clear which designs are optimal or how encoding choices might influence risk…
Competing Models: Inferring Exploration Patterns and Information Relevance via Bayesian Model Selection
Shayan Monadjemi, Roman Garnett, Alvitta Ottley
Analyzing interaction data provides an opportunity to learn about users, uncover their underlying goals, and create intelligent visualization systems. The first step for intelligen…
Did You Get The Gist Of It? Understanding How Visualization Impacts Decision-Making
Melanie Bancilhon, Alvitta Ottley
As visualization researchers evaluate the impact of visualization design on decision-making, they often hold a one-dimensional perspective on the cognitive processes behind making…
Expectation Versus Reality: The Failed Evaluation of a Mixed-Initiative Visualization System
Sunwoo Ha, Adam Kern, Melanie Bancilhon +1
Our research aimed to present the design and evaluation of a mixed-initiative system that aids the user in handling complex datasets and dense visualization systems. We attempted t…