Shifts in Maximum Audiovisual Integration with Age.
Clicks: 255
ID: 1834
2018
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Star Article
66.5
/100
254 views
207 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
Listeners attempting to understand speech in noisy environments rely on visual and auditory processes, typically referred to as audiovisual processing. Noise corrupts the auditory speech signal and listeners naturally leverage visual cues from the talker's face in an attempt to interpret the degraded auditory signal. Studies of speech intelligibility in noise show that the maximum improvement in speech recognition performance (i.e., maximum visual enhancement or VEmax), derived from seeing an interlocutor's face, is invariant with age. Several studies have reported that VEmax is typically associated with a signal-to-noise (SNR) of -12 dB; however, few studies have systematically investigated whether the SNR associated with VEmax changes with age. We investigated if VEmax changes as a function of age, whether the SNR at VEmax changes as a function of age, and what perceptual/cognitive abilities account for or mediate such relationships. We measured VEmax on a nongeriatric adult sample (N=64) ranging in age from 20 to 59 years old. We found that VEmax was age-invariant, replicating earlier studies. No perceptual/cognitive measures predicted VEmax, most likely due to limited variance in VEmax scores. Importantly, we found that the SNR at VEmax shifts toward higher (quieter) SNR levels with increasing age; however, this relationship is partially mediated by working memory capacity, where those with larger working memory capacities (WMCs) can identify speech under lower (louder) SNR levels than their age equivalents with smaller WMCs. The current study is the first to report that individual differences in WMC partially mediate the age-related shift in SNR at VEmax.
| Reference Key |
jansen2018shiftsmultisensory
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Jansen, Samantha D;Keebler, Joseph R;Chaparro, Alex; |
| Journal | multisensory research |
| Year | 2018 |
| DOI |
10.1163/22134808-00002599
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.