It is estimated that human error in the quality control checking of product labels on consumer packaging costs the UK retail industry £50m per annum. Our research program aimed to understand the behavior of individuals when performing label checks on fresh produce in order to inform the development of a software application designed to support quality control. On a simulated label checking task, eye-tracking data showed that individuals used different checking methods. A more systematic method led to higher accuracy. Two computer-assisted approaches, varying in the level of computer support provided, were then designed to push checkers towards systematic checking. Greater improvements in accuracy were found under the computer-assisted approaches than under a control condition. A three-month onsite trial of a software application designed on the basis of these research findings led to a 100% decrease in quality control errors
