Dror, I;
(2011)
The Paradox of Human Expertise: Why Experts Can Get It Wrong.
In: Kapur, N and Pascual-Leone, A and Ramachandran, VS, (eds.)
The Paradoxical Brain.
(pp. 177-188).
Cambridge University Press: Cambridge, UK.
PDF
Dror_PB_paradoxical_human_expertise.pdf Download (1MB) |
Abstract
Expertise is correctly, but one-sidedly, associated with special abilities and enhanced performance. The other side of expertise, however, is surreptitiously hidden. Along with expertise, performance may also be degraded, culminating in a lack of flexibility and error. Expertise is demystified by explaining the brain functions and cognitive architecture involved in being an expert. These information processing mechanisms, the very making of expertise, entail computational trade-offs that sometimes result in paradoxical functional degradation. For example, being an expert entails using schemas, selective attention, chunking information, automaticity, and more reliance on top-down information, all of which allow experts to perform quickly and efficiently; however, these very mechanisms restrict flexibility and control, may cause the experts to miss and ignore important information, introduce tunnel vision and bias, and can cause other effects that degrade performance. Such phenomena are apparent in a wide range of expert domains, from medical professionals and forensic examiners, to military fighter pilots and financial traders.
Type: | Book chapter |
---|---|
Title: | The Paradox of Human Expertise: Why Experts Can Get It Wrong |
ISBN: | 0521115574 |
ISBN-13: | 9780521115575 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | http://www.cambridge.org/gb/knowledge/isbn/item270... |
Language: | English |
Additional information: | © 2011 Cambridge University Press |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/48372 |
Archive Staff Only
View Item |