Evidence map›Paper›PMID 32291732›Full record

ArticleBehavior research methods2020

GazeR: A Package for Processing Gaze Position and Pupil Size Data.

Jason Geller, Matthew B Winn, Tristian Mahr, Daniel Mirman

Abstract read
In one paragraph

Article in Behavior research methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

58 citing papers in PubMed.

  1. Trial
  2. Beyond vigilance: A dual-process perspective on visual sustained attention.Cognitive, affective & behavioral neuroscience · 2026
    Article
  3. Atypical Attentional Effort During Visual Search in Autistic Adults: Evidence From Task-Evoked Pupillary Responses.Autism research : official journal of the International Society for Autism Research · 2026
    Article
  4. Article
  5. Stress drives the hippocampus to prioritize statistical prediction over episodic encoding.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jason GellerDepartment of Psychological & Brain Sciences, The University of Iowa, Iowa City, IA, 52242, USA. jason-geller@uiowa.edu.
Matthew B WinnDepartment of Speech-Language-Hearing Sciences, University of Minnesota, 164 Pillsbury Dr. SE, Minneapolis, MN, 55455, USA.
Tristian MahrWaisman Center, University of Wisconsin-Madison, 1500 Highland Ave, Madison, WI, 53705, USA.
Daniel MirmanDepartment of Psychology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.

Funding

Listening effort in cochlear implant usersR01DC017114 · NIDCD · UNIVERSITY OF MINNESOTA · PI Matthew Brandon Winn · 2018 to 2026
$3.4M
NIDCD NIH HHS R01 DC017114
6 · The paper itself

Abstract

Eye-tracking is widely used throughout the scientific community, from vision science and psycholinguistics to marketing and human-computer interaction. Surprisingly, there is little consistency and transparency in preprocessing steps, making replicability and reproducibility difficult. To increase replicability, reproducibility, and transparency, a package in R (a free and widely used statistical programming environment) called gazeR was created to read and preprocess two types of data: gaze position and pupil size. For gaze position data, gazeR has functions for reading in raw eye-tracking data, formatting it for analysis, converting from gaze coordinates to areas of interest, and binning and aggregating data. For data from pupillometry studies, the gazeR package has functions for reading in and merging multiple raw pupil data files, removing observations with too much missing data, eliminating artifacts, blink identification and interpolation, subtractive baseline correction, and binning and aggregating data. The package is open-source and freely available for download and installation: https://github.com/dmirman/gazer . We provide step-by-step analyses of data from two tasks exemplifying the package's capabilities.

Indexed as

BlinkingPupilSoftwareHumansReadingReproducibility of Resultseye-trackingopen sciencepupillometryRvisual world paradigm

Identifiers

PMID32291732
PMCPMC7544668

What OpenQuestion holds

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Registered trials

None linked

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.