Literature DB >> 21916790

Older adults expend more listening effort than young adults recognizing audiovisual speech in noise.

Penny Anderson Gosselin1, Jean-Pierre Gagné.   

Abstract

OBJECTIVE: Using a dual task paradigm, two experiments were conducted to: (1) quantify the listening effort that young and older adults expend to recognize speech in noise when presented under audio-only (Experiment 1) and audiovisual conditions (Experiment 2) and, (2) determine the influence visual cues have on listening effort. Listening effort refers to the attentional and cognitive resources required to understand speech.
DESIGN: All participants performed a closed-set word recognition task and tactile pattern recognition task separately and concurrently. Accuracy and reaction time data were collected. The criterion for single task word recognition performance was set to 80% correct across experiments and across age groups. STUDY SAMPLE: For each experiment, 25 young and 25 older adults with normal hearing and normal (or corrected normal) vision participated.
RESULTS: Under equated performance conditions, older adults expended more listening effort than young adults with both audio-only and audiovisually presented speech. Furthermore, the processing demands of audiovisual speech recognition were greater than audio-only speech recognition for all participants.
CONCLUSIONS: These results suggest that while visual cues can improve audiovisual speech recognition, they can also place an extra demand on processing resources with performance consequences for the word and tactile tasks under dual task conditions.

Entities:  

Mesh:

Year:  2011        PMID: 21916790     DOI: 10.3109/14992027.2011.599870

Source DB:  PubMed          Journal:  Int J Audiol        ISSN: 1499-2027            Impact factor:   2.117


  32 in total

Review 1.  Is Listening in Noise Worth It? The Neurobiology of Speech Recognition in Challenging Listening Conditions.

Authors:  Mark A Eckert; Susan Teubner-Rhodes; Kenneth I Vaden
Journal:  Ear Hear       Date:  2016 Jul-Aug       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.  Talking points: A modulating circle reduces listening effort without improving speech recognition.

Authors:  Julia F Strand; Violet A Brown; Dennis L Barbour
Journal:  Psychon Bull Rev       Date:  2019-02

4.  Age-Related Compensation Mechanism Revealed in the Cortical Representation of Degraded Speech.

Authors:  Samira Anderson; Lindsey Roque; Casey R Gaskins; Sandra Gordon-Salant; Matthew J Goupell
Journal:  J Assoc Res Otolaryngol       Date:  2020-07-08

5.  Understanding Speech Amid the Jingle and Jangle: Recommendations for Improving Measurement Practices in Listening Effort Research.

Authors:  Julia F Strand; Lucia Ray; Naseem H Dillman-Hasso; Jed Villanueva; Violet A Brown
Journal:  Audit Percept Cogn       Date:  2021-03-23

6.  Listening under difficult conditions: An activation likelihood estimation meta-analysis.

Authors:  Claude Alain; Yi Du; Lori J Bernstein; Thijs Barten; Karen Banai
Journal:  Hum Brain Mapp       Date:  2018-03-13       Impact factor: 5.038

Review 7.  Prediction and constraint in audiovisual speech perception.

Authors:  Jonathan E Peelle; Mitchell S Sommers
Journal:  Cortex       Date:  2015-03-20       Impact factor: 4.027

8.  Psychobiological Responses Reveal Audiovisual Noise Differentially Challenges Speech Recognition.

Authors:  Gavin M Bidelman; Bonnie Brown; Kelsey Mankel; Caitlin Nelms Price
Journal:  Ear Hear       Date:  2020 Mar/Apr       Impact factor: 3.570

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.  Deficits in audiovisual speech perception in normal aging emerge at the level of whole-word recognition.

Authors:  Ryan A Stevenson; Caitlin E Nelms; Sarah H Baum; Lilia Zurkovsky; Morgan D Barense; Paul A Newhouse; Mark T Wallace
Journal:  Neurobiol Aging       Date:  2014-08-07       Impact factor: 4.673

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