Literature DB >> 23416751

How hearing aids, background noise, and visual cues influence objective listening effort.

Erin M Picou1, Todd A Ricketts, Benjamin W Y Hornsby.   

Abstract

OBJECTIVES: The purpose of this article was to evaluate factors that influence the listening effort experienced when processing speech for people with hearing loss. Specifically, the change in listening effort resulting from introducing hearing aids, visual cues, and background noise was evaluated. An additional exploratory aim was to investigate the possible relationships between the magnitude of listening effort change and individual listeners' working memory capacity, verbal processing speed, or lipreading skill.
DESIGN: Twenty-seven participants with bilateral sensorineural hearing loss were fitted with linear behind-the-ear hearing aids and tested using a dual-task paradigm designed to evaluate listening effort. The primary task was monosyllable word recognition and the secondary task was a visual reaction time task. The test conditions varied by hearing aids (unaided, aided), visual cues (auditory-only, auditory-visual), and background noise (present, absent). For all participants, the signal to noise ratio was set individually so that speech recognition performance in noise was approximately 60% in both the auditory-only and auditory-visual conditions. In addition to measures of listening effort, working memory capacity, verbal processing speed, and lipreading ability were measured using the Automated Operational Span Task, a Lexical Decision Task, and the Revised Shortened Utley Lipreading Test, respectively.
RESULTS: In general, the effects measured using the objective measure of listening effort were small (~10 msec). Results indicated that background noise increased listening effort, and hearing aids reduced listening effort, while visual cues did not influence listening effort. With regard to the individual variables, verbal processing speed was negatively correlated with hearing aid benefit for listening effort; faster processors were less likely to derive benefit. Working memory capacity, verbal processing speed, and lipreading ability were related to benefit from visual cues. No variables were related to changes in listening effort resulting from the addition of background noise.
CONCLUSIONS: The results of this study suggest that, on the average, hearing aids can reduce objectively measured listening effort. Furthermore, people who are slow verbal processors are more likely to derive hearing aid benefit for listening effort, perhaps because hearing aids improve the auditory input. Although background noise increased objective listening effort, no listener characteristic predicted susceptibility to noise. With regard to visual cues, while there was no effect on average of providing visual cues, there were some listener characteristics that were related to changes in listening effort with vision. Although these relationships are exploratory, they do suggest that these inherent listener characteristics like working memory capacity, verbal processing speed, and lipreading ability may influence susceptibility to changes in listening effort and thus warrant further study.

Entities:  

Mesh:

Year:  2013        PMID: 23416751     DOI: 10.1097/AUD.0b013e31827f0431

Source DB:  PubMed          Journal:  Ear Hear        ISSN: 0196-0202            Impact factor:   3.570


  31 in total

1.  Psychometric Functions of Dual-Task Paradigms for Measuring Listening Effort.

Authors:  Yu-Hsiang Wu; Elizabeth Stangl; Xuyang Zhang; Joanna Perkins; Emily Eilers
Journal:  Ear Hear       Date:  2016 Nov/Dec       Impact factor: 3.570

2.  Listening Effort in Younger and Older Adults: A Comparison of Auditory-Only and Auditory-Visual Presentations.

Authors:  Mitchell S Sommers; Damian Phelps
Journal:  Ear Hear       Date:  2016 Jul-Aug       Impact factor: 3.570

3.  Spatial separation benefit for unaided and aided listening.

Authors:  Jayne B Ahlstrom; Amy R Horwitz; Judy R Dubno
Journal:  Ear Hear       Date:  2014 Jan-Feb       Impact factor: 3.570

4.  Commentary: listening can be exhausting--fatigue in children and adults with hearing loss.

Authors:  Fred H Bess; Benjamin W Y Hornsby
Journal:  Ear Hear       Date:  2014 Nov-Dec       Impact factor: 3.570

5.  The Effects of Meaning-Based Auditory Training on Behavioral Measures of Perceptual Effort in Individuals with Impaired Hearing.

Authors:  Mitchell S Sommers; Nancy Tye-Murray; Joe Barcroft; Brent P Spehar
Journal:  Semin Hear       Date:  2015-11

6.  The Effects of Noise and Reverberation on Listening Effort in Adults With Normal Hearing.

Authors:  Erin M Picou; Julia Gordon; Todd A Ricketts
Journal:  Ear Hear       Date:  2016 Jan-Feb       Impact factor: 3.570

Review 7.  Eyes and ears: Using eye tracking and pupillometry to understand challenges to speech recognition.

Authors:  Kristin J Van Engen; Drew J McLaughlin
Journal:  Hear Res       Date:  2018-05-04       Impact factor: 3.208

8.  Speech-perception training for older adults with hearing loss impacts word recognition and effort.

Authors:  Stefanie E Kuchinsky; Jayne B Ahlstrom; Stephanie L Cute; Larry E Humes; Judy R Dubno; Mark A Eckert
Journal:  Psychophysiology       Date:  2014-06-09       Impact factor: 4.016

9.  Listening Effort Measured in Adults with Normal Hearing and Cochlear Implants.

Authors:  Ann E Perreau; Yu-Hsiang Wu; Bailey Tatge; Diana Irwin; Daniel Corts
Journal:  J Am Acad Audiol       Date:  2017-09       Impact factor: 1.664

10.  Measuring listening effort: driving simulator versus simple dual-task paradigm.

Authors:  Yu-Hsiang Wu; Nazan Aksan; Matthew Rizzo; Elizabeth Stangl; Xuyang Zhang; Ruth Bentler
Journal:  Ear Hear       Date:  2014 Nov-Dec       Impact factor: 3.570

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