Evidence map›Paper›PMID 39704838›Full record

ArticleExperimental brain research2024

The effect of workload on mind-wandering of drilling operators measured by electroencephalography (EEG).

Su Hao, Xie Ruiying, Xu Lifei, Wang Jian, Jiang Jiaxin, Fan Siping, Wang Xiaoqin, Qing Xin, Liu Lu, Zhang Yufeng

Abstract read
PubMed Publisher
In one paragraph

Article in Experimental brain research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Su HaoSchool of Economics and Management, Southwest Petroleum University, Chengdu, 610500, China. steven_haosu@qq.com.ORCID http://orcid.org/0000-0001-7396-9662
Xie RuiyingSchool of Economics and Management, Southwest Petroleum University, Chengdu, 610500, China. 1351317057@qq.com.
Xu LifeiSchool of Economics and Management, Southwest Petroleum University, Chengdu, 610500, China.
Wang JianChuanqing Drilling Engineering Company Chuanxi Drilling Company Limited of China National Petroleum Corporation, Chengdu, 610051, China.
Jiang JiaxinSchool of Economics and Management, Southwest Petroleum University, Chengdu, 610500, China.
Fan SipingSchool of Economics and Management, Southwest Petroleum University, Chengdu, 610500, China.
Wang XiaoqinSchool of Economics and Management, Southwest Petroleum University, Chengdu, 610500, China.
Qing XinSchool of Economics and Management, Southwest Petroleum University, Chengdu, 610500, China.
Liu LuSchool of Economics and Management, Southwest Petroleum University, Chengdu, 610500, China.
Zhang YufengDepartment of Rehabilitation Medicine, Xindu District People's Hospital, Chengdu, 610500, China.

Funding

The National Social Science Fund of China 23FJYB039
6 · The paper itself

Abstract

Mind wandering can cause workers to overlook safety hazards and delay making accurate operational decisions, ultimately raising the potential for accidents. However, there is relatively little research on the physiological characteristics of drilling workers during mind wandering. The aim of this investigation was to tackle the constraints of previous studies and to establish a more comprehensive theoretical framework and practical guidance for safety management. To this end, the phenomenon of workload on mind wandering among drillers during the drilling process was investigated in depth. It focused on drilling site workers, using SART paradigm tasks and EEG devices to track cognitive states under various loads, exploring how they affect mind wandering and EEG mechanisms. Fifty workers participated, observing drilling images to judge accidents. Results showed workload influenced cognitive processes such as mind wandering occurrence, reaction time, accuracy, and brain connectivity. High workload increased reaction time, decreased accuracy, raised mind wandering frequency, altered theta, beta, and gamma waves, and reduced cerebral synchronisation and engagement. Workload affected employees' mind wandering, sensations, focus, and work status, with a positive correlation between workload and mind wandering, potentially harming work performance and safety. Analyzing EEG data helps identify mind wandering and develop intervention measures. In depth research on these features not only helps identify employee mind wandering, but also promotes the development of more precise and personalized intervention measures.

Indexed as

AttentionElectroencephalographyWorkloadAdultBrainBrain WavesFemaleHumansMaleReaction TimeYoung AdultElectroencephalogramMind wanderingP300Workload

Identifiers

What OpenQuestion holds

Textmetadata
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.