36 citations · 37 across the 3 of their papers we have counts for
3 papers
cs.HC2021★ 36 cited
Left, Right, and Gender: Exploring Interaction Traces to Mitigate Human Biases
Emily Wall, Arpit Narechania, Adam Coscia +2
Human biases impact the way people analyze data and make decisions. Recent work has shown that some visualization designs can better support cognitive processes and mitigate cognit…
cs.HC2021
Lumos: Increasing Awareness of Analytic Behavior during Visual Data Analysis
Arpit Narechania, Adam Coscia, Emily Wall +1
Visual data analysis tools provide people with the agency and flexibility to explore data using a variety of interactive functionalities. However, this flexibility may introduce po…
cs.HC2020★ 1 cited
Toward a Bias-Aware Future for Mixed-Initiative Visual Analytics
Adam Coscia, Duen Horng Chau, Alex Endert
Mixed-initiative visual analytics systems incorporate well-established design principles that improve users' abilities to solve problems. As these systems consider whether to take…