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 cognitive diversity can also embed gender biases. To help software professionals fix gender bias "bugs" related to people's problem-solving styles for information processing and learning of new software we collected inclusivity fixes from three sources. The first two are empirical studies we conducted: a heuristics-driven user study and a field research industry study. The third is data that we obtained about a before/after user study of inclusivity bugs. The resulting seven potential inclusivity fixes show how to debug software to be more inclusive for diverse problem-solving styles.
@article{arxiv.1905.02813,
title = {Fixing Inclusivity Bugs for Information Processing Styles and Learning Styles},
author = {Zoe Steine-Hanson and Claudia Hilderbrand and Lara Letaw and Jillian Emard and Christopher Perdriau and Christopher Mendez and Margaret Burnett and Anita Sarma},
journal= {arXiv preprint arXiv:1905.02813},
year = {2019}
}