Behavioral Manifestations of Listening Effort

April 25, 2023 updated by: Hillary A Snapp, University of Miami
The purpose of this investigation is to investigate the behavioral manifestations of listening effort. Quantifying listening effort based on an easy to measure behavioral metric would allow for better understanding of the effort that goes into processing conversational speech. The investigators hypothesize that the behavior modifications required to improve the signal to noise ratio in increasingly complex listening environments significantly deviates from quiet listening environments. Further, the investigators hypothesize that this directly contributes to increased listening effort and reduced ability to accurately monitor content for everyday conversation.

Study Overview

Status

Completed

Conditions

Detailed Description

Listening Effort has been described as a reflection of the cognitive resources necessary for speech understanding. Measures can broadly be classified into Subjective, Physiological and Behavioral measures of Listening Effort (LE). Subjective measures of LE involve the listener rating or answering a questionnaire on the presented auditory stimuli. Some examples of Subjective measures are the multidimensional speech, spatial and qualities (SSQ) scale and Listening effort rating scale. However, these measures suffer from individual bias, for example, what one person might find takes more effort, another might not.

Physiological measures establish relationships between changes in the central and/or autonomic nervous system activity and LE. Effect of LE on central nervous system activity include methods such as using Functional Magnetic Resonance Imaging (fMRI) to compare processing of noise vocoded versus clear sentence stimuli and using Electroencephalography (EEG) to monitor memory/cognitive load. Some methods of measuring effects on Autonomic Nervous system are through Pupillometry and Skin Conductance. Research has found that fluctuating pupil size may be an indicator of mental task load and/or attention, stress and memory. Furthermore, Pupillometric methods have been used to correlate changing measures like pupil size and listening tasks. There are some drawbacks of using pupillometry to measure LE- Absolute pupil size and change in pupil size for presented speech change according to the age of the listener. For instance, Older adults have been found to have smaller absolute pupil size and show lesser change in pupil size when moving from difficult to easier listening conditions. These drawbacks can be accounted for by normalizing the pupil size.

Behavioral measures take into account that the there is a decline in cognitive functions over prolonged mental effort used an auditory dual task paradigm where the primary task was word recognition and the secondary tasks were memory recall and Visual Response times. Apart from the Dual tasks, participants were also asked to assign a subjective rating based on SSQ. Findings revealed 1) that there is empirical evidence linking repeated instances of effortful listening and subsequent cognitive failure and 2) self- report measures did not show the same changes as the behavioral measures. It has been suggested that this may indicate that subjective (self-report) measures and behavioral measures assess separate aspects of fatigue. It may also be due to subjective measures having individual biases.

As mentioned above, there are numerous studies of subjective, objective and behavioral measures of LE, yet, there are no studies of the actual behavior employed by listeners to reduce listening effort. Further, researchers do not understand how these behaviors influence the ability of the listener to monitor and maintain conversational speech. Listeners must rely on both peripheral and central auditory mechanisms to process speech. As the auditory signal increases in complexity, likewise there is an increase in the auditory processing required to understand speech. The effort that the auditory system must put forth to process complex signals is even greater if the signal degraded or imbedded in competing signals such as background noise. This requires increased exertion and mental effort on the part of the listener, and results in a reduction in ability to maintain focus and an increase in fatigue. These issues are further amplified in the presence of a peripheral hearing disorder as listeners do not have the mechanisms required to properly process even simple and unchallenged auditory signals. Research has demonstrated decreasing word recognition accuracy with decreasing Signal to Noise Ratio (SNR) and demonstrated an increase in listening effort when speech was presented in increasingly negative SNRs. Numerous studies have reported on the increase in listening effort required for individuals with hearing loss.

The purpose of this investigation is quantify listening effort based subjective, objective and behavioral measures at different Signal to Noise Ratios (SNR).

Study Type

Observational

Enrollment (Actual)

12

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Florida
      • Miami, Florida, United States, 33136
        • University of Miami Department of Otolaryngology

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 40 years (Adult)

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

Subjects will be selected from the University of Miami Ear Institute

Description

Inclusion Criteria:

  • Normal Hearing

Exclusion Criteria:

  • Do not meet inclusion criteria
  • Pregnant women
  • Prisoners
  • Does not speak English
  • Those displaying cognitive impairment (Potential study subjects will be screened for potential cognitive impairments that may negatively influence control data. We will use the validated mini mental exam)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Evaluate behavior modifications employed by listeners to optimize the signal to noise ratio and decrease listening effort in complex listening environments.
Time Frame: One hour
We will evaluate compensatory strategies required by listeners to optimize listening in negative signal to noise ratios
One hour
Identify correlations in Listening effort measured using Pupillometry
Time Frame: One hour
Pupillometry has been shown to be an accurate objective measure of listening effort. We will compare the behavioral responses of increased listening effort to physiologic response as measured by change in pupil size
One hour

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Hillary Snapp, AuD, University of Miami

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 13, 2017

Primary Completion (Actual)

March 18, 2017

Study Completion (Actual)

March 18, 2017

Study Registration Dates

First Submitted

March 16, 2017

First Submitted That Met QC Criteria

March 16, 2017

First Posted (Actual)

March 22, 2017

Study Record Updates

Last Update Posted (Actual)

April 27, 2023

Last Update Submitted That Met QC Criteria

April 25, 2023

Last Verified

April 1, 2023

More Information

Terms related to this study

Other Study ID Numbers

  • 20170031

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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