ReviewHearing research2018
Eyes and ears: Using eye tracking and pupillometry to understand challenges to speech recognition.
Review in Hearing research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Integrating Eye Tracking in Acoustic Research: Methods for Sound Localization, Event Detection, Multimodal Sensing, and Perceptual Analysis.Sensors (Basel, Switzerland) · 2026Review
- A Wireless, Battery-Free Artificial Throat Patch with Deep Learning for Emotional Speech Recognition.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Dementia and hearing loss: from risk to mechanisms and management.Frontiers in dementia · 2026Review
- Adaptions in eye-movement behavior during face-to-face communication in noise.Frontiers in psychology · 2025Article
- Impaired Performance in Noise: Disentangling Listening Effort from the Irrelevant Speech Effect.Collabra. Psychology · 2025Article
- Underlying dimensions of real-time word recognition in cochlear implant users.Nature communications · 2024Article
- Sequence effects and speech processing: cognitive load for speaker-switching within and across accents.Psychonomic bulletin & review · 2024Article
- Identification of Follow-Up Markers for Rehabilitation Management in Patients with Vestibular Schwannoma.Journal of clinical medicine · 2023Article
- Give me a break! Unavoidable fatigue effects in cognitive pupillometry.Psychophysiology · 2023Article
- Hearing Loss and Cognitive Impairment: Epidemiology, Common Pathophysiological Findings, and Treatment Considerations.Life (Basel, Switzerland) · 2021Review
- Measuring the Subjective Cost of Listening Effort Using a Discounting Task.Journal of speech, language, and hearing research : JSLHR · 2021Article
- The Two Sides of Linguistic Context: Eye-Tracking as a Measure of Semantic Competition in Spoken Word Recognition Among Younger and Older Adults.Frontiers in human neuroscience · 2020Article
- Degree of Language Experience Modulates Visual Attention to Visible Speech and Iconic Gestures During Clear and Degraded Speech Comprehension.Cognitive science · 2019Article
- Assessment of Speech Processing and Listening Effort Associated With Speech-on-Speech Masking Using the Visual World Paradigm and Pupillometry.Trends in hearingArticle
- The Involvement of Listening Effort in Explaining Bilingual Listening Under Adverse Listening Conditions.Trends in hearingReview
- The Effect of Breathy Vocal Quality on Speech Intelligibility and Listening Effort in Background Noise.Trends in hearingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Although human speech recognition is often experienced as relatively effortless, a number of common challenges can render the task more difficult. Such challenges may originate in talkers (e.g., unfamiliar accents, varying speech styles), the environment (e.g. noise), or in listeners themselves (e.g., hearing loss, aging, different native language backgrounds). Each of these challenges can reduce the intelligibility of spoken language, but even when intelligibility remains high, they can place greater processing demands on listeners. Noisy conditions, for example, can lead to poorer recall for speech, even when it has been correctly understood. Speech intelligibility measures, memory tasks, and subjective reports of listener difficulty all provide critical information about the effects of such challenges on speech recognition. Eye tracking and pupillometry complement these methods by providing objective physiological measures of online cognitive processing during listening. Eye tracking records the moment-to-moment direction of listeners' visual attention, which is closely time-locked to unfolding speech signals, and pupillometry measures the moment-to-moment size of listeners' pupils, which dilate in response to increased cognitive load. In this paper, we review the uses of these two methods for studying challenges to speech recognition.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.