Gender HCl and microsoft: Highlights from a longitudinal study

Margaret Burnett · Robin Counts · Ronette Lawrence

35 citations0/0 files storedIEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)

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Ethics and Social Impacts of AI Software Engineering Techniques and Practices Gender and Technology in Education

Abstract

Research has emerged over the past decade showing gender biases in software. Although a few methods and prototype systems have emerged to help address this issue, none have been reported to have an impact on the people who actually build software. In this paper, we summarize a few highlights from a year-long field study investigating how Gender HCI methods to address gender biases in software can make impacts on a large software company.

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1995Computer Self-Efficacy: Development of a Measure and Initial Test 2011INDIVIDUAL RISK ATTITUDES: MEASUREMENT, DETERMINANTS, AND BEHAVIORAL CONSEQUENCES 2011Strong Evidence for Gender Differences in Risk Taking 2004Group decision and social change.2014Revisiting gender differences: What we know and what lies ahead 2011A theoretical agenda for feminist HCI 2016Finding Gender-Inclusiveness Software Issues with GenderMag 2010Gender differences and programming environments

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2019Analysing Gender Differences in Building Social Goal Models: A Quasi-Experiment

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