Evidence map›Paper›PMID 40859399›Full record

ArticleBMC psychology2025

How do different cognitive styles Learners deal with the bullet screen interruption in instructional videos? An eye-tracking study.

Defang Mu, Mingxuan Zou, Yinghe Chen

Abstract read
In one paragraph

Article in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Defang Mu *Department of Psychology, Tianjin University of Commerce, Tel:15822930813, Tianjin, 300134, China. mudefang2013@163.com.
Mingxuan Zou *Department of Military Medical Psychology, Air Force Medical University, Xi'an, 710032, China.
Yinghe ChenInstitute of Developmental Psychology, Faculty of Psychology, Beijing Normal University, Tel:0086135-0136-3326, Beijing, 100875, China. chenyinghe@bnu.edu.cn.

Funding

the MOE Project of Key Research Institutes of Humanities and Social Science at Universities 22JJD190001
6 · The paper itself

Abstract

Dense bullet screens at the top of the video screen may be disruptive. With the help of eye-tracking technology, this study explores the effects of bullet screen interruptions on instructional video learning from the perspective of different cognitive styles. Participants (N = 84) were required to complete a post-test after watching the video course "Human Body Temperature and Regulation" under a 2 (bullet-screen: bullet-screen, bullet-screen-free) × 2 (cognitive style: field-independent, field-dependent) between-subjects design. The study found that the bullet screen distracted both field-independent and field-dependent cognitive style learners' attention and increased the cognitive load of field-dependent learners. As a result, the learning outcomes of field-dependent learners with bullet screens was significantly lower than those of learners with bullet-screen-free condition, while field-independent learners did not exhibit any significant differences. These results revealed that bullet screen has a negative impact on instructional video learning outcomes for field-dependent learners, causing cognitive overload and reducing their learning outcomes, but has no impact for field-independent learners. Compared to field-dependent learners, field-independent learners can better cope with the interruption of bullet-screens in instructional videos.

Indexed as

AttentionCognitionEye MovementsLearningAdultEye-Tracking TechnologyFemaleHumansMaleVideo RecordingYoung AdultBullet screenCognitive styleEye movementsVideo learning

Identifiers

PMID40859399
PMCPMC12379301

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.