Evidence map›Paper›PMID 38594451›Full record

ArticleScientific reports2024

The effect analysis of shape design of different charging piles based on Human physiological characteristics using the MF-DFA.

Yusheng Zhang, Yaoyuan Kang, Xin Guo, Pan Li, Hanqing He

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
–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

5 authors.

Yusheng ZhangElectric Power Research Institute of State Grid Shaanxi Electric Power Company, Xi'an, 710003, China. neepu_0607@yeah.net.
Yaoyuan KangElectric Power Research Institute of State Grid Shaanxi Electric Power Company, Xi'an, 710003, China.
Xin GuoState Grid Electric Auto Service Co., Ltd, Xi'an, 710003, China.
Pan LiElectric Power Research Institute of State Grid Shaanxi Electric Power Company, Xi'an, 710003, China.
Hanqing HeElectric Power Research Institute of State Grid Shaanxi Electric Power Company, Xi'an, 710003, China.

Funding

Science and Technology Project of Shaanxi Electric Power Company of State Grid 5226KY20001S
6 · The paper itself

Abstract

With the rapid development of new energy vehicles, the users have an increasing demand for charging piles. It is generally believed that the charging pile is a kind of practical product, and it only needs to realize the charging function. However, as a product, the shape design of the charging pile will directly affect the user experience, thus affecting product sales. Therefore, in the face of increasingly fierce market competition, when designing the shape of charging piles, it is necessary to adopt the traditional evaluation method and human physiological cognitive characteristics to evaluate the shape of charging piles more objectively. From the user's point of view, using the electroencephalogram (EEG) of the user, with the help of the multifractal detrended fluctuation analysis (MF-DFA) method, this paper comprehensively analyzes the differences in emotional cognitive characteristics between two kinds of charging piles, namely, the charging pile with a curved appearance design and the charging pile with square appearance design. The results show that there are significant differences in human physiological cognitive characteristics between two kinds of charging piles with different shapes. And different shapes of charging piles have different physiological cognitive differences for users. When designing charging pile product shapes, human beings can objectively evaluate the product shape design according to the physiological cognition differences of users, so as to optimize the charging pile product shape design.

Indexed as

HemorrhoidsElectroencephalographyHumansCharging pileEEGMF-DFAShape design

Identifiers

PMID38594451
PMCPMC11004129

What OpenQuestion holds

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Registered trials

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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.