GenderMag

GenderMag (Gender-Inclusiveness Magnifier) is an inclusive design inspection method for finding and fixing inclusivity bugs in problem-solving software. It uses five facets of problem-solving style that show statistically significant gender differences: Motivations (task-oriented vs. tech-oriented), Information Processing Style (comprehensive vs. selective), Computer Self-Efficacy, Attitudes Toward Risk, and Learning Style (by process vs. by tinkering). These facets are brought to life through three personas named Abi, Pat, and Tim, whose problem-solving styles represent the range of diversity across these dimensions. Evaluators systematically walk through software use cases from each persona's perspective to identify where the design fails to support particular problem-solving styles. GenderMag has been used to improve inclusivity in a wide range of software products and has been applied to XAI systems to make AI explanations more effective for diverse users.