Evidence map›Paper›PMID 34833644›Full record

ArticleSensors (Basel, Switzerland)2021

When Eyes Wander Around: Mind-Wandering as Revealed by Eye Movement Analysis with Hidden Markov Models.

Hsing-Hao Lee, Zih-Ling Chen, Su-Ling Yeh, Janet Huiwen Hsiao, An-Yeu Andy Wu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Using Gaze for Behavioural Biometrics.Sensors (Basel, Switzerland) · 2023
    Article
  7. From Sensor Data to Educational Insights.Sensors (Basel, Switzerland) · 2022
    Article
  8. Article
  9. Understanding children's attention to traumatic dental injuries using eye-tracking.Dental traumatology : official publication of International Association for Dental Traumatology · 2022
    Article
  10. Article
  11. Article
  12. Impact of mask use on face recognition: an eye-tracking study.Cognitive research: principles and implications · 2022
    Article
  13. Article
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

5 authors.

Hsing-Hao LeeDepartment of Psychology, College of Science, National Taiwan University, Taipei City 10617, Taiwan.ORCID 0000-0002-9162-8797
Zih-Ling ChenGraduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei City 10051, Taiwan.ORCID 0000-0002-2388-1627
Su-Ling YehDepartment of Psychology, College of Science, National Taiwan University, Taipei City 10617, Taiwan.ORCID 0000-0003-4597-8697
Janet Huiwen HsiaoDepartment of Psychology, The University of Hong Kong, Pok Fu Lam, Hong Kong.ORCID 0000-0003-2271-8710
An-Yeu Andy WuGraduate Institute of Electronics Engineering, National Taiwan University, Taipei City 10617, Taiwan.ORCID 0000-0003-4731-8633

Funding

Ministry of Science and Technology, Taiwan MOST 107-2410-H-002 -129 -MY3Ministry of Science and Technology, Taiwan MOST 108-2420-H-492 -001 -MY3Ministry of Science and Technology, Taiwan MOST 108-2622-8-002-012-TAMinistry of Science and Technology, Taiwan MOST 109-2622-8-002-012-TA
6 · The paper itself

Abstract

Mind-wandering has been shown to largely influence our learning efficiency, especially in the digital and distracting era nowadays. Detecting mind-wandering thus becomes imperative in educational scenarios. Here, we used a wearable eye-tracker to record eye movements during the sustained attention to response task. Eye movement analysis with hidden Markov models (EMHMM), which takes both spatial and temporal eye-movement information into account, was used to examine if participants' eye movement patterns can differentiate between the states of focused attention and mind-wandering. Two representative eye movement patterns were discovered through clustering using EMHMM: centralized and distributed patterns. Results showed that participants with the centralized pattern had better performance on detecting targets and rated themselves as more focused than those with the distributed pattern. This study indicates that distinct eye movement patterns are associated with different attentional states (focused attention vs. mind-wandering) and demonstrates a novel approach in using EMHMM to study attention. Moreover, this study provides a potential approach to capture the mind-wandering state in the classroom without interrupting the ongoing learning behavior.

Indexed as

EyeEye MovementsHumansLearningeye movement analysis with hidden Markov models (EMHMM)fixationlearningmind-wanderingsustained attention

Identifiers

PMID34833644
PMCPMC8622810

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.