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Understanding the effect of information access costs on people’s data…
Understanding the effect of information
access costs on people’s data entry
strategies
Overview
a. Why is data entry important
b. Data entry in the lab
c. Data entry at work
Reducing errors:
How can we reduce errors?
Can design reduce errors?
3.Data entry task
Input
Perception
People made fewer errors if the
font was harder to read.
Encoding
People were faster and more accurate
typing familiar numbers.
Execution
People were faster with a number keypad.
People were more accurate with an incremental interface.
Output
Checking
Block Design
A graphical representation made it easier to check
quantities, and reduced large errors.
Summary
a. Data entry errors can be reduced through design
interventions…
• …but does it work outside of the lab?
b.- Data entry errors can be reduced through design
interventions
• Context is important
c. Data entry errors can be reduced through design
interventions
d. Understanding context is important
e. User-centred rather than application-centred
design
Lab versus online
a. Lab: lockouts can encourage checking
Online: longer lockout will induce switching to other tasks
Data entry at work
a. Information spread across sources
b. Systems are application-, rather than user-centred
c. People often have to go in and out of system to
collect information
d. If it takes time to access information, people rely on
memory (Gray et al., 2006)
e. If people encode data well, they are more accurate
f.. What does this mean for data entry?
Data entry in the lab
Information access costs
a. If data is encoded well, data is entered more accurately
b. But if it takes more time to access information, people are relying on memory without necessarily encoding it well
c. This increases errors