ReviewBehavior research methods2024
Implementing mobile eye tracking in psychological research: A practical guide.
Review in Behavior research methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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Who cites it
12 citing papers in PubMed.
- Effects of anchor characteristics and product attributes on consumer purchase decisions in live streaming sales: evidence from an eye-tracking study.Scientific reports · 2026Article
- The fundamentals of eye tracking, Part 7: Determining data quality.Behavior research methods · 2026Article
- Making Machine Learning Accessible for Developmental Science: The Case of Automated Face Detection.Developmental science · 2026Article
- Mobile eye tracking in the real world: Best practices.Journal of vision · 2026Article
- Objective Assessment of Media Screens Effect on Physical Activity in Preschool Children.IEEE access : practical innovations, open solutions · 2026Article
- Taking the eye-tracker out to dinner: characterizing spatial attention biases during an everyday behavior using computer vision.Scientific reports · 2025Article
- The fundamentals of eye tracking part 5: The importance of piloting.Behavior research methods · 2025Article
- gazeMapper: A tool for automated world-based analysis of gaze data from one or multiple wearable eye trackers.Behavior research methods · 2025Article
- The fundamentals of eye tracking part 3: How to choose an eye tracker.Behavior research methods · 2025Article
- The fundamentals of eye tracking part 4: Tools for conducting an eye tracking study.Behavior research methods · 2025Article
- Applying mobile eye tracking to measure real-time engagement and enhance informal learning at environmental exhibits.Frontiers in psychology · 2025Article
- Vision toolkit part 2. features and metrics for assessing oculomotor signal: a review.Frontiers in physiology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Eye tracking provides direct, temporally and spatially sensitive measures of eye gaze. It can capture visual attention patterns from infancy through adulthood. However, commonly used screen-based eye tracking (SET) paradigms are limited in their depiction of how individuals process information as they interact with the environment in "real life". Mobile eye tracking (MET) records participant-perspective gaze in the context of active behavior. Recent technological developments in MET hardware enable researchers to capture egocentric vision as early as infancy and across the lifespan. However, challenges remain in MET data collection, processing, and analysis. The present paper aims to provide an introduction and practical guide to starting researchers in the field to facilitate the use of MET in psychological research with a wide range of age groups. First, we provide a general introduction to MET. Next, we briefly review MET studies in adults and children that provide new insights into attention and its roles in cognitive and socioemotional functioning. We then discuss technical issues relating to MET data collection and provide guidelines for data quality inspection, gaze annotations, data visualization, and statistical analyses. Lastly, we conclude by discussing the future directions of MET implementation. Open-source programs for MET data quality inspection, data visualization, and analysis are shared publicly.
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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.