Towards Gender-Inclusive Software: A Tale

of 5 facetsMargaret Burnett

http://tinyurl.com/k4fkko7

Reasons

- Ignorance is bliss doesn’t work- Studying one population segments helps

others (eg. curb cuts)- Target customers eg. 85% of customers are

females

Facet #1

- Computer self efficacy- Literature: females low computer self-efficacy

Facet #2

- Risk Averse- Females are more risk averse than males

Facet #3

- Tinkering (playful experimentation) - Women are not very tinkering friendly- Women think between tink (tink + err)

- err improves the critical thinking- where as men only do tink tink tink...go crazy

No matter what their job titles are these results look significant

Facet #4

- Women have little desire to learn new functions and uses function which she is comfortable with to achieve her goals- Men tend to use “it’s fun” rather than let us just get it

done

Facet #5

- gathers information comprehensively to try form a complete understanding before solving a problem

- DFS(males) vs BFS(females)- females are good at code comprehension

than males

Men wait maximum of 5 minutes before they take action

Men wait maximum of 5 minutes before they take action

Women wait atleast 5 minutes before they take action