Evidence map›Paper›PMID 38671037›Full record

ArticleScientific reports2024

The factors affecting the performance of the tunnel wall drilling task and their priority.

Peng-Fei Gao, Jin-Yi Zhi, Ji-Dong Hu, Jin Wang, Yong-Sheng Xu, Rui Zou, Tie-Cheng Ding, Lin Yang

Abstract read
In one paragraph

Article in Scientific reports, 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
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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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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

8 authors.

Peng-Fei GaoDepartment of Industrial Design, School of Design, Southwest Jiaotong University, Chengdu, 610031, China. Gaopengfei@swjtu.edu.cn.
Jin-Yi ZhiDepartment of Industrial Design, School of Design, Southwest Jiaotong University, Chengdu, 610031, China. zhijinyi@swjtu.cn.
Ji-Dong HuChina Railway Eight Bureau Group Electrical Engineering Co., LTD, Chengdu, 610500, China.
Jin WangDepartment of Industrial Design, School of Mechatronic Engineering, Southwest Petroleum University, Chengdu, 610500, China.
Yong-Sheng XuDepartment of Industrial Design, School of Design, Southwest Jiaotong University, Chengdu, 610031, China.
Rui ZouDepartment of Industrial Design, School of Design, Southwest Jiaotong University, Chengdu, 610031, China.
Tie-Cheng DingDepartment of Industrial Design, School of Design, Southwest Jiaotong University, Chengdu, 610031, China.
Lin YangDepartment of Industrial Design, School of Design, Southwest Jiaotong University, Chengdu, 610031, China.

Funding

China Railway Eight Bureau Group Electrical Engineering Co., LTD 2021-Key-29the National Key R&D Program of China 2022YFB4301202the National Key R&D Program of China 2022YFB4301203the National Key R&D Program of China Grant No. 2022YFB4301201
6 · The paper itself

Abstract

Clarifying the relationship between the man-machine environment and its impact on the tunnel wall drilling task performance (TWDTP) is crucial for enhancing the task performance. Based on a questionnaire survey, indicators of the man-machine environment that affect the TWDTP were proposed in this study, and exploratory factor analysis and a structural equation model were employed to examine the potential factors influencing the task performance and their degrees of influence. By comparing the discrepancy between the perceived performance and importance, the satisfaction of potential factors was evaluated, and the priority order for optimizing these factors was determined by considering the degree of influence and dissatisfaction. The results of survey data analysis based on actual tunnel drilling operation scenarios indicated that tools had the greatest impact on the TWDTP, followed by the quality of the physical environment, while human factors had the least influence on the task performance. Convenient functional maintenance is the key to improving the TWDTP, along with enhancing the quality of the working environment. Once these main aspects are optimized, it is important to consider additional factors such as availability of spare tools, efficient personnel organization, man-tool matching, and safety and health assurance. This research approach provides significant guidance in understanding the relationships between the man-machine environmental factors affecting the performance of complex engineering tasks and identifying key influencing factors, thus providing essential insights for optimizing the TWDTP.

Indexed as

Man–machine environmentPriority factorsTask performanceTunnel wall drilling

Identifiers

PMID38671037
PMCPMC11053030

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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.