Listening effort is a commonly reported difficulty among those who have hearing loss. This project aims to operationalize the concept of effort precision, as the ability to engage or disengage mental resources at strategic times could be an important signature of a person’s capacity to guard against wasted effort. Stimuli were designed to simulate the situation of seeking clarification of a misperceived word or attending to specific information in a sentence. Some stimuli included verbatim repetitions (which would ideally elicit reduced effort) and others featured sentences with a masked word followed by a clear repetition (which would ideally evoke effort aimed only at the newly unmasked word). Pupillometry was used as an index of moment-to-moment changes in listening effort. Data showed pupil dilations linked in time with the unmasked word, enabling precise measurements of the efficiency of effort. Listeners with normal hearing displayed the ability to plan and exert effort at specific times while also reducing effort in situations where it was unnecessary. Conversely, listeners who wear cochlear implants generally did not display these efficient effort characteristics. These results highlight the need to expand the concept of listening effort beyond a “more” or “less” framework, toward a framework of efficiency.
Skip Nav Destination
Article navigation
March 2023
March 01 2023
Measuring the efficiency of listening effort
Matthew B. Winn
Matthew B. Winn
Speech-Language-Hearing Sci., Univ. of Minnesota, 164 Pillsbury Dr. SE, Shevlin Hall Rm 115, Minneapolis, MN 55455, [email protected]
Search for other works by this author on:
J. Acoust. Soc. Am. 153, A335 (2023)
Citation
Matthew B. Winn; Measuring the efficiency of listening effort. J. Acoust. Soc. Am. 1 March 2023; 153 (3_supplement): A335. https://doi.org/10.1121/10.0019061
Download citation file:
Citing articles via
A survey of sound source localization with deep learning methods
Pierre-Amaury Grumiaux, Srđan Kitić, et al.
Rapid detection of fish calls within diverse coral reef soundscapes using a convolutional neural network
Seth McCammon, Nathan Formel, et al.
Related Content
Adjusting listening effort relative to expected value of listening
J. Acoust. Soc. Am. (March 2024)
Dynamic allocation of listening effort when listening to speech
J Acoust Soc Am (March 2018)
The timing of deploying and withholding listening effort, in listeners with normal hearing or with cochlear implants
J Acoust Soc Am (October 2021)
Pupillometry as a measure of auditory cognitive processes and listening effort
J Acoust Soc Am (March 2018)
The role of listening effort during degraded speech recognition: A comparison of the dual-task and pupillometry paradigms
J. Acoust. Soc. Am. (October 2019)