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Predicting speech-in-noise perception using the trail making task: Results from a large-scale internet study
Linköpings universitet, Institutionen för beteendevetenskap och lärande, Handikappvetenskap. Linköpings universitet, Filosofiska fakulteten.
Linköpings universitet, Institutionen för beteendevetenskap och lärande, Handikappvetenskap. Linköpings universitet, Filosofiska fakulteten.
Linköpings universitet, Institutionen för beteendevetenskap och lärande, Handikappvetenskap. Linköpings universitet, Filosofiska fakulteten.
Linköpings universitet, Institutionen för beteendevetenskap och lärande, Handikappvetenskap. Linköpings universitet, Filosofiska fakulteten.
Vise andre og tillknytning
2015 (engelsk)Konferansepaper, Oral presentation with published abstract (Fagfellevurdert)
Abstract [en]

The purpose of this study was to investigate the utility of an internet-based version of the trail making test (TMT) to predict performance on a speech-in-noise perception task. Computerised versions of the tests were completed, via the internet, by a large (1500+) sample of listeners aged between 18 and 91 years old, both with and without hearing loss. The results show that better performance on both the simple and complex versions of the TMT are associated with better speech-in-noise recognition scores. The findings suggest that the relation between performance in the TMT and speech recognition test may be due to the capacity of the TMT to index perceptual speed, as opposed to the more complex cognitive abilities also implicated in TMT performance.

sted, utgiver, år, opplag, sider
2015.
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-123239OAI: oai:DiVA.org:liu-123239DiVA, id: diva2:878445
Konferanse
Conference on Cognitive Hearing Science for Communication (CHCCOM2015), Linköping, June 14-17, 2015
Tilgjengelig fra: 2015-12-09 Laget: 2015-12-09 Sist oppdatert: 2015-12-17

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Ellis, RachelMolander, PeterRönnberg, JerkerLyxell, BjörnAndersson, GerhardLunner, Thomas

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Totalt: 513 treff
RefereraExporteraLink to record
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Referensformat
  • apa
  • harvard1
  • ieee
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  • vancouver
  • oxford
  • Annet format
Fler format
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  • de-DE
  • en-GB
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  • fi-FI
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  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
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