Auditory noise increases the allocation of attention to the mouth, and the eyes pay the price: an eye-tracking study

Magdalena Król

Abstract

We investigated the effect of auditory noise added to speech on patterns of looking at faces in 40 toddlers. We hypothesised that noise would increase the difficulty of processing speech, making children allocate more attention to the mouth of the speaker to gain visual speech cues from mouth movements. We also hypothesised that this shift would cause a decrease in fixation time to the eyes, potentially decreasing the ability to monitor gaze. We found that adding noise increased the number of fixations to the mouth area, at the price of a decreased number of fixations to the eyes. Thus, to our knowledge, this is the first study demonstrating a mouth-eyes trade-off between attention allocated to social cues coming from the eyes and linguistic cues coming from the mouth. We also found that children with higher word recognition proficiency and higher average pupil response had an increased likelihood of fixating the mouth, compared to the eyes and the rest of the screen, indicating stronger motivation to decode the speech.
Author Magdalena Król (Filia we Wrocławiu / II Wydział Psychologii we Wrocławiu)
Magdalena Król,,
- II Wydział Psychologii we Wrocławiu
Journal seriesPlos One, ISSN 1932-6203, (A 40 pkt)
Issue year2018
Vol13
No3
Pages1-14
Publication size in sheets0.65
ASJC Classification1100 General Agricultural and Biological Sciences; 1300 General Biochemistry, Genetics and Molecular Biology; 2700 General Medicine
DOIDOI:10.1371/journal.pone.0194491
URL http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0194491
Languageen angielski
File
Auditory noise_tekst.pdf 810.9 KB
Additional file
Auditory noise_oświadczenie.pdf 176.04 KB
Score (nominal)40
Score sourcejournalList
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2017 = 1.111; WoS Impact Factor: 2017 = 2.766 (2) - 2017=3.352 (5)
Citation count*3 (2020-09-25)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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