Monday
November 28th
4:00 - 4:50pm
KEC 1001

Laura Beckwith
Ph.D. Candidate
School of EECS
Oregon State University

Gender HCI: Effects of Self-Efficacy on Males' and Females' Problem
Solving

Although gender differences in a technological world are receiving
significant research attention, much of the research and practice has
aimed at how society and education can impact the successes and
retention of female computer science professionals--but the possibility
of gender issues within problem-solving software has received no
attention. To begin addressing this issue we conducted an extensive
literature search outlining possible gender differences which may affect
end users engaged in computer-based problem-solving tasks.  In this talk
I will focus on how gender differences in computer self-efficacy (a form
of confidence) impact users' problem-solving effectiveness. Based on
findings from a study looking at self-efficacy we made design changes to
accommodate users with low self-efficacy, and then conducted a follow-up
study investigating those changes. Studying these gender HCI issues is
important because without knowledge of how gender differences interact
with software designers could unintentionally be making design choices
which leave a large portion of the population at a disadvantage for
computer-based problem-solving.

Bio:

Laura Beckwith is PhD candidate at Oregon State University working with
Margaret Burnett. She received her undergraduate degree in 1998 at
Hobart and William Smith Colleges in central New York State.  After
working as a software engineer for several years in Rochester, NY she
moved to Corvallis and started her masters program in computer science.
Since completing her master's degree in 2002 she has been working on her
PhD entitled "Gender HCI."  Her primary research interests are in HCI
(human-computer interaction) and end-user software engineering.


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