ArticleSensors (Basel, Switzerland)2015
Assessing visual attention using eye tracking sensors in intelligent cognitive therapies based on serious games.
Article in Sensors (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
What it found
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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
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.
- What is the level of evidence for the use of currently available technologies in facilitating the self-management of difficulties associated with ADHD in children and young people? A systematic review.European child & adolescent psychiatry · 2018Pooled it
- The (In)effectiveness of Attention Guidance Methods for Enhancing Brand Memory in 360° Video.Sensors (Basel, Switzerland) · 2022Trial
- A visualization tool for eye tracking time series analysis supporting teachers and psychologists.Scientific reports · 2026Article
- Effect of Gamification on Task Engagement During an Eye-Tracking Test Battery in 5-Year-Old Children Born Preterm: Observational Study.JMIR serious games · 2025Article
- Performance and learning rate prediction models development in FLS and RAS surgical tasks using electroencephalogram and eye gaze data and machine learning.Surgical endoscopy · 2023Article
- Artificial Intelligence-Driven Serious Games in Health Care: Scoping Review.JMIR serious games · 2022Article
- A low-cost, high-performance video-based binocular eye tracker for psychophysical research.Journal of eye movement research · 2021Article
- Application of Eye Tracking in Puzzle Games for Adjunct Cognitive Markers: Pilot Observational Study in Older Adults.JMIR serious games · 2021Article
- Supervisors' Visual Attention Allocation Modeling Using Hybrid Entropy.Entropy (Basel, Switzerland) · 2019Article
- Using Eye Tracking to Assess Gaze Concentration in Meditation.Sensors (Basel, Switzerland) · 2019Article
- Implementation and Evaluation of a Wide-Range Human-Sensing System Based on Cooperating Multiple Range Image Sensors.Sensors (Basel, Switzerland) · 2019Article
- A Human⁻Machine Interface Based on Eye Tracking for Controlling and Monitoring a Smart Home Using the Internet of Things.Sensors (Basel, Switzerland) · 2019Article
- OSCANN: Technical Characterization of a Novel Gaze Tracking Analyzer.Sensors (Basel, Switzerland) · 2018Article
- Deep Learning-Based Gaze Detection System for Automobile Drivers Using a NIR Camera Sensor.Sensors (Basel, Switzerland) · 2018Article
- Online Learners' Reading Ability Detection Based on Eye-Tracking Sensors.Sensors (Basel, Switzerland) · 2016Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study examines the use of eye tracking sensors as a means to identify children's behavior in attention-enhancement therapies. For this purpose, a set of data collected from 32 children with different attention skills is analyzed during their interaction with a set of puzzle games. The authors of this study hypothesize that participants with better performance may have quantifiably different eye-movement patterns from users with poorer results. The use of eye trackers outside the research community may help to extend their potential with available intelligent therapies, bringing state-of-the-art technologies to users. The use of gaze data constitutes a new information source in intelligent therapies that may help to build new approaches that are fully-customized to final users' needs. This may be achieved by implementing machine learning algorithms for classification. The initial study of the dataset has proven a 0.88 (±0.11) classification accuracy with a random forest classifier, using cross-validation and hierarchical tree-based feature selection. Further approaches need to be examined in order to establish more detailed attention behaviors and patterns among children with and without attention problems.
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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.