4 citations · 4 across the 3 of their papers we have counts for
3 papers
Help or Hinder? Evaluating the Impact of Fairness Metrics and Algorithms in Visualizations for Consensus Ranking
Hilson Shrestha, Kathleen Cachel, Mallak Alkhathlan +2
For applications where multiple stakeholders provide recommendations, a fair consensus ranking must not only ensure that the preferences of rankers are well represented, but must a…
Taken By Surprise? Evaluating how Bayesian Weighting Influences Peoples' Takeaways in Map Visualizations
Akim Ndlovu, Hilson Shrestha, Lane T. Harrison
Choropleth maps have been studied and extended in many ways to counteract the many biases that can occur when using them. Two recent techniques, Surprise metrics and Value Suppress…
FairFuse: Interactive Visual Support for Fair Consensus Ranking
Hilson Shrestha, Kathleen Cachel, Mallak Alkhathlan +2
Fair consensus building combines the preferences of multiple rankers into a single consensus ranking, while ensuring any group defined by a protected attribute (such as race or gen…