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20172022
most citedHow to Debug Inclusivity Bugs? A Debugging Process with Information Architecture

13 citations · 26 across the 7 of their papers we have counts for

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7 papers · 1 filter

cs.HC20224 cited

Educating Educators to Integrate Inclusive Design Across a 4-Year CS Degree Program

Lara Letaw, Rosalinda Garcia, Patricia Morreale +6

How can an entire CS faculty, who together have been teaching the ACM standard CS curricula, shift to teaching elements of inclusive design across a 4-year undergraduate CS program…

cs.HC2022

Intersectionality Goes Analytical: Taming Combinatorial Explosion Through Type Abstraction

Margaret Burnett, Martin Erwig, Abrar Fallatah +2

HCI researchers' and practitioners' awareness of intersectionality has been expanding, producing knowledge, recommendations, and prototypes for supporting intersectional population…

cs.HC20192 cited

Fixing Inclusivity Bugs for Information Processing Styles and Learning Styles

Zoe Steine-Hanson, Claudia Hilderbrand, Lara Letaw +5

Most software systems today do not support cognitive diversity. Further, because of differences in problem-solving styles that cluster by gender, software that poorly supports cogn…

cs.HC2019

From GenderMag to InclusiveMag: An Inclusive Design Meta-Method

Christopher Mendez, Lara Letaw, Margaret Burnett +3

How can software practitioners assess whether their software supports diverse users? Although there are empirical processes that can be used to find "inclusivity bugs" piecemeal, w…

cs.HC2019

Explaining Reinforcement Learning to Mere Mortals: An Empirical Study

Andrew Anderson, Jonathan Dodge, Amrita Sadarangani +6

We present a user study to investigate the impact of explanations on non-experts' understanding of reinforcement learning (RL) agents. We investigate both a common RL visualization…

cs.HC20172 cited

Toward Foraging for Understanding of StarCraft Agents: An Empirical Study

Sean Penney, Jonathan Dodge, Claudia Hilderbrand +3

Assessing and understanding intelligent agents is a difficult task for users that lack an AI background. A relatively new area, called "Explainable AI," is emerging to help address…