Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Ease of identifying words degraded by visual noise

Bibliographic Data

ID9620159
AuthorsPaul Barber (0000-0002-5053-9659, University of Bristol, corresponding author), Christine de la Mahotière (University of Bristol, corresponding author)
Year1982
Volume73
Issue3
Pages371-381
Publication date1982-08-01
Open AccessYes
TypeARTICLE
VenueBritish Journal of Psychology (JOURNAL)
Journal identifiersISSN: 0007-1269 • E-ISSN: 2044-8295
PublisherWiley (PUBLISHER • GB)
DOI10.1111/j.2044-8295.1982.tb01819.x
PMID7116083
OpenAlexW2122810329
LanguageEN

A technique is described for investigating word recognition involving the superimposition of ‘noise’ on the visual target word. For this task a word is printed in the form of letters made up of separate elements; noise consists of additional elements which serve to reduce the ease whereby the words may be recognized, and a threshold‐like measure can be obtained in terms of the amount of noise. A word frequency effect was obtained for the noise task, and for words presented tachistoscopically but in conventional typography. For the tachistoscope task, however, the frequency effect depended on the method of presentation. A second study showed no effect of inspection interval on performance on the noise task. A word‐frequency effect was also found in a third experiment with tachistoscopic exposure of the noise task stimuli in undegraded form. The question of whether common processes are drawn on by tasks entailing different ways of varying ease of recognition is addressed, and the suitability of different tasks for word recognition research is discussed

Audiology · Cognitive psychology · Image (mathematics) · Noise (video) · Speech recognition · Artificial Intelligence · Communication · Computer Science · Hand Gesture Recognition Systems · Neural Networks and Applications · Psychology

Highly citedNo
Open DOISci-Hub
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae