Evidence map›Paper›PMID 36552146›Full record

ArticleBrain sciences2022

Experimental Studies of the Attention Processing Model in Multiple Object Tracking Task.

Shuyi Liang, Yaning Guo, Sizhe Cheng, Shengjun Wu, Xiuchao Wang, Xinlu Wang, Diyan Lu, Xufeng Liu

Abstract read
In one paragraph

Article in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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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

8 authors.

Shuyi LiangDepartment of Military Medical Psychology, Air Force Medical University, Xi'an 710032, China.
Yaning GuoDepartment of Military Medical Psychology, Air Force Medical University, Xi'an 710032, China.
Sizhe ChengDepartment of Military Medical Psychology, Air Force Medical University, Xi'an 710032, China.
Shengjun WuDepartment of Military Medical Psychology, Air Force Medical University, Xi'an 710032, China.
Xiuchao WangDepartment of Military Medical Psychology, Air Force Medical University, Xi'an 710032, China.
Xinlu WangDepartment of Military Medical Psychology, Air Force Medical University, Xi'an 710032, China.
Diyan LuDepartment of Military Medical Psychology, Air Force Medical University, Xi'an 710032, China.
Xufeng LiuDepartment of Military Medical Psychology, Air Force Medical University, Xi'an 710032, China.

Funding

National Natural Science Foundation of China 2021JQ-335the Key project of PLA Logistics Research Program during the 14th Five-Year Plan period BKJ19J021
6 · The paper itself

Abstract

(1) Background: Attention is an important cognitive process in daily life. However, limited cognitive resources have been allocated to attention, especially for multiple objects and its mechanism is still unclear. Most of the previous studies have been based on the static attention paradigms with relatively lower ecological validity. Thus, we aimed to explore the attention processing mechanism in a multiple object tracking (MOT) task by using a dynamic attention paradigm. Two experiments were conducted to assess whether there was a multi-focus attention processing model, and whether the processing model changes with the number of target balls. (2) Methods: During the experiments, 33 university students completed MOT combined with the simultaneous-sequential paradigm, with tracking accuracy and reaction time of correct reaction as indicators. (3) Results: (i) When there were two target balls, an obvious bilateral field advantage was apparent. (ii) When there were four target balls, participants' performance was significantly better when stimuli were presented simultaneously than when they were presented sequentially, showing a multi-focus attention processing model. (4) Conclusion: Attention processing is characterized by flexibility, providing strong evidence to support the multi-focus theory.

Indexed as

attentionmulti-focus theorymultiple object tracking (MOT) tasksimultaneous–sequential paradigm

Identifiers

PMID36552146
PMCPMC9775580

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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.