Fixing Inclusivity Bugs: Information Processing Styles and Learning Styles

Honors College Thesis

Public Deposited

Citeable URL: https://ir.library.oregonstate.edu/concern/honors_college_theses/1n79h977c

Descriptions

Attribute Name	Values
Creator	Steine-Hanson, Zoe K.
Abstract	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 and triangulated 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 source is data that we obtained from 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.
Resource Type	Honors College Thesis
Date Issued	2019-05-22
Degree Level	Bachelor's
Degree Name	Honors Bachelor of Science (H.B.S.)
Degree Field	Computer Science
Degree Grantor	Oregon State University
Commencement Year	2019
Advisor	Burnett, Margaret
Committee Member	Sarma, Anita Sanchez, Christopher
Non-Academic Affiliation	Oregon State University. Honors College
Subject	Human-computer interaction
Rights Statement	In Copyright
Publisher	Oregon State University
Peer Reviewed	No
Language	English [eng]

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