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      Examining the Role of Eye Movements During Conversational Listening in Noise

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          Abstract

          Speech comprehension is often thought of as an entirely auditory process, but both normal hearing and hearing-impaired individuals sometimes use visual attention to disambiguate speech, particularly when it is difficult to hear. Many studies have investigated how visual attention (or the lack thereof) impacts the perception of simple speech sounds such as isolated consonants, but there is a gap in the literature concerning visual attention during natural speech comprehension. This issue needs to be addressed, as individuals process sounds and words in everyday speech differently than when they are separated into individual elements with no competing sound sources or noise. Moreover, further research is needed to explore patterns of eye movements during speech comprehension – especially in the presence of noise – as such an investigation would allow us to better understand how people strategically use visual information while processing speech. To this end, we conducted an experiment to track eye-gaze behavior during a series of listening tasks as a function of the number of speakers, background noise intensity, and the presence or absence of simulated hearing impairment. Our specific aims were to discover how individuals might adapt their oculomotor behavior to compensate for the difficulty of the listening scenario, such as when listening in noisy environments or experiencing simulated hearing loss. Speech comprehension difficulty was manipulated by simulating hearing loss and varying background noise intensity. Results showed that eye movements were affected by the number of speakers, simulated hearing impairment, and the presence of noise. Further, findings showed that differing levels of signal-to-noise ratio (SNR) led to changes in eye-gaze behavior. Most notably, we found that the addition of visual information (i.e. videos vs. auditory information only) led to enhanced speech comprehension – highlighting the strategic usage of visual information during this process.

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          Most cited references36

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          Eye fixations and cognitive processes

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            Attention in dichotic listening: Affective cues and the influence of instructions

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              Development of a quick speech-in-noise test for measuring signal-to-noise ratio loss in normal-hearing and hearing-impaired listeners.

              This paper describes a shortened and improved version of the Speech in Noise (SIN) Test (Etymotic Research, 1993). In the first two of four experiments, the level of a female talker relative to that of four-talker babble was adjusted sentence by sentence to produce 50% correct scores for normal-hearing subjects. In the second two experiments, those sentences-in-babble that produced either lack of equivalence or high across-subject variability in scores were discarded. These experiments produced 12 equivalent lists, each containing six sentences, with one sentence at each adjusted signal-to-noise ratio of 25, 20, 15, 10, 5, and 0 dB. Six additional lists were also made equivalent when the scores of particular pairs were averaged. The final lists comprise the "QuickSIN" test that measures the SNR a listener requires to understand 50% of key words in sentences in a background of babble. The standard deviation of single-list scores is 1.4 dB SNR for hearing-impaired subjects, based on test-retest data. A single QuickSIN list takes approximately one minute to administer and provides an estimate of SNR loss accurate to +/-2.7 dB at the 95% confidence level.
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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                14 February 2020
                2020
                : 11
                : 200
                Affiliations
                Hearing Enhancement and Augmented Reality Lab, Department of Psychology, New Mexico State University , Las Cruces, NM, United States
                Author notes

                Edited by: Yang Zhang, Soochow University, China

                Reviewed by: Haojiang Ying, Soochow University, China; Hua-Chun Sun, University of New South Wales, Australia

                *Correspondence: Edin Šabić, sabic@ 123456nmsu.edu

                This article was submitted to Perception Science, a section of the journal Frontiers in Psychology

                Article
                10.3389/fpsyg.2020.00200
                7033431
                8c1105f6-a45e-4a46-b746-765e1fc4dbb1
                Copyright © 2020 Šabić, Henning, Myüz, Morrow, Hout and MacDonald.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 25 September 2019
                : 28 January 2020
                Page count
                Figures: 6, Tables: 0, Equations: 0, References: 50, Pages: 11, Words: 0
                Funding
                Funded by: National Institutes of Health 10.13039/100000002
                Award ID: SC1DC016452
                Categories
                Psychology
                Original Research

                Clinical Psychology & Psychiatry
                hearing impairment (hi),eye gaze behavior,oculomotor,snr (signal-to-noise ratio),auditory – visual perception

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