13 citations · 29 across the 10 of their papers we have counts for
12 papers
SocioEconomicMag Meets a Platform for SES-Diverse College Students: A Case Study
Puja Agarwal, Divya Prem, Christopher Bogart +6
Emerging research shows that individual differences in how people use technology sometimes cluster by socioeconomic status (SES) and that when technology is not socioeconomically i…
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…
How to Debug Inclusivity Bugs? A Debugging Process with Information Architecture
Mariam Guizani, Igor Steinmacher, Jillian Emard +3
Although some previous research has found ways to find inclusivity bugs (biases in software that introduce inequities), little attention has been paid to how to go about fixing suc…
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…
Toward an Actionable Socioeconomic-Aware HCI
Margaret Burnett, Abrar Fallatah, Catherine Hu +4
Although inequities for individuals in different socioeconomic situations are starting to capture widespread attention, less attention has been given to the socioeconomic inequitie…
Measuring User Experience Inclusivity in Human-AI Interaction via Five User Problem-Solving Styles
Andrew Anderson, Jimena Noa Guevara, Fatima Moussaoui +3
Motivations: Recent research has emerged on generally how to improve AI product user experiences, but relatively little is known about an AI product's inclusivity. For example, wha…
Engineering Gender-Inclusivity into Software: Tales from the Trenches
Claudia Hilderbrand, Christopher Perdriau, Lara Letaw +4
Although the need for gender-inclusivity in software itself is gaining attention among both SE researchers and SE practitioners, and methods have been published to help, little has…
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…
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…
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…
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…
How the Experts Do It: Assessing and Explaining Agent Behaviors in Real-Time Strategy Games
Jonathan Dodge, Sean Penney, Claudia Hilderbrand +2
How should an AI-based explanation system explain an agent's complex behavior to ordinary end users who have no background in AI? Answering this question is an active research area…