maryland 2002 election usability
DESCRIPTION
Maryland 2002 Election Usability. Benjamin B. Bederson Computer Science Department Human-Computer Interaction Lab University of Maryland, College Park Reporting results from work with Paul Herrnson Owen Abbe Dept. of Government and Politics. www.cs.umd.edu/~bederson/voting. - PowerPoint PPT PresentationTRANSCRIPT
Maryland 2002 Election Usability
Benjamin B. BedersonComputer Science Department
Human-Computer Interaction LabUniversity of Maryland, College Park
Reporting results from work withPaul Herrnson
Owen Abbe Dept. of Government and Politics
www.cs.umd.edu/~bederson/voting
University of Maryland, Human-Computer Interaction Laboratory
2002 Election Exit PollMontgomery & Prince George’s
Counties
Administered broad exit poll questionnaire 1,276 respondents 22 precincts in two counties response rate was 74.6%
Summary: Majority like new system But significant minority have concerns
University of Maryland, Human-Computer Interaction Laboratory
Diebold AccuVote-TSDeployed at 2002 General Election
University of Maryland, Human-Computer Interaction Laboratory
University of Maryland, Human-Computer Interaction Laboratory
University of Maryland, Human-Computer Interaction Laboratory
University of Maryland, Human-Computer Interaction Laboratory
University of Maryland, Human-Computer Interaction Laboratory
University of Maryland, Human-Computer Interaction Laboratory
Voter Acceptance
The voting system was easy 94% I was comfortable using the system 93% Characters on the screen were easy
to read 94% Terminology on screen was precise 93% Correcting my mistakes was easy91% I am confident that my vote was
accurately recorded 90%
University of Maryland, Human-Computer Interaction Laboratory
Voter Trust
Previously, voters had used punch cards or mechanical lever systems.
I trust the previous voting machine71%
I trust the touch screen voting machine 91%
University of Maryland, Human-Computer Interaction Laboratory
Problems Using the System
Asked for help using the machine 9% Received help using the machine 17% Experienced technical problems 3%
Election officials are pro-active Most technical problems are with cards Navigation was troublesome – sometimes
jumping multiple screens Couldn’t change language after selection Ballot review with scrollbar was difficult
University of Maryland, Human-Computer Interaction Laboratory
Usability and Assistanceby Computer Use
Usability and Assistance
0%
20%
40%
60%
80%
100%
120%V
otin
gsy
stem
easy
to u
se
Term
inol
ogy
was
pre
cise
Ask
ed fo
rhe
lp u
sing
mac
hine
Got
hel
pus
ing
mac
hine
Frequency of Computer Use
Perc
enta
ge R
epor
ting
Frequence of ComputerUse <= 1/month
Frequence of ComputerUse 2/month - 2/week
Frequence of ComputerUse >= 3/week
University of Maryland, Human-Computer Interaction Laboratory
Assistance by Education
Assistance by Education
0%
5%
10%
15%
20%
25%
30%
35%
Asked for help Got help
Perc
ent r
ecei
ved
No college
Some college to BS
Graduate school
University of Maryland, Human-Computer Interaction Laboratory
Assistance and Trustby Race
Assistance and Trust by Race
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Asked for help Got help Trust machine
Perc
ent r
ecei
ved
Black
White
Other
University of Maryland, Human-Computer Interaction Laboratory
Assistance and Trust by Sex
Assistance and Trust by Sex
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Asked for help Received help Trust machine
Percent received
Female
Male
University of Maryland, Human-Computer Interaction Laboratory
Assistance by Age
Assistance by Age
0%
5%
10%
15%
20%
25%
30%
Asked for help Received help
Percent received
18 to 24
23 to 34
35 to 49
50 to 64
65 or older
University of Maryland, Human-Computer Interaction Laboratory
Information Visualization
Visualization helps users see patterns and detect outliers in large data sets
A ballot is a large dataset Most DREs show less than 4 races per screen How do voters understand how they voted?
Show more than fits on the screen by: Good, dense information design Overview+detail Abstracted representations Simple navigation mechanisms
University of Maryland, Human-Computer Interaction Laboratory
Navigating Large Spaces
Imagine driving from NY to CA with only street maps.
You need abstracted overview maps – that show states and highways.
We have the same problem with voting systems: How do you get an overview of the state
of your ballot?
University of Maryland, Human-Computer Interaction Laboratory
A Motivating Example
Zoomable User Interface (ZUI) Single screen interface Overview + Detail Natural navigation and
progress indication
University of Maryland, Human-Computer Interaction Laboratory
Conclusion
Studies leave us optimistic, but concerned With elections called by 1%, leaving 10%
unconfident voters is a problem The requirements of DREs are unique, but
the design issues aren’t Typical of public access information systems Need closer work with HCI professionals Need qualitative and quantitative user studies Need further field studies
www.cs.umd.edu/~bederson/voting