Abstract
Currently, human error has become a focus of interest and intensive study, both in relation to practical everyday tasks and to cognitive theorizing. This chapter discusses errors that occur during the learning and performance of complex cognitive skills, particularly in the control and operation of computerized systems. The chapter highlights the role of memory in the production, detection, and reduction of such errors. The chapter begins by outlining some basic distinctions in the field of human error and describes one generic approach to error modelling, that being Reason's “Generic Error Modelling System.” A number of different types of error study are described; specifically, naturalistic studies of slips and lapses, laboratory studies of the control of simulated systems, and case studies of accidents or potential accidents. Processes involved in detecting different types of error are also discussed. Ways of reducing error, such as by training, designing systems in such a way as to prevent error, or by providing memory aids and decision support systems are also explained. Three different types of study have been selected in an attempt to cover a range of methods and types of error. The three types of study are naturalistic studies of slips and lapses, laboratory studies of mistakes in the control of complex systems, and case studies of accidents or potential accidents.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
