Evidence map›Paper›PMID 39027457›Full record

ArticleHeliyon2024

An empirical study on new-energy vehicle users' preferences of in-vehicle interaction input methods.

Weibo Sun, Yanan Wang, Wei Miao, Wei Wei, Chao Gu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 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.

Weibo SunSchool of Textile Garment and Design, Changshu Institute of Technology, Changshu, 215500, China.
Yanan WangXia Qing Communication School, Handan University, Handan, 056005, China.
Wei MiaoSchool of Textile Garment and Design, Changshu Institute of Technology, Changshu, 215500, China.
Wei WeiSchool of Textile Garment and Design, Changshu Institute of Technology, Changshu, 215500, China.
Chao GuAcademy of Arts & Design, Tsinghua University, Beijing, 100084, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New energy sources are transforming the automotive market. This shift has also expanded the possibilities for in-vehicle interaction. Through a literature review, this study categorizes the in-vehicle interaction activities into three types: driving tasks, comfort tasks, and entertainment tasks. This study conducted empirical survey of 377 users to understand their preferences of in-vehicle interaction input methods inside new energy vehicles. The results show that gender, educational level, income, driver's license type and driving experience have significant influence on the perception and preference of the in-vehicle interaction input methods. However, age and experience with new energy vehicle didn't show significant results. The findings of this study can assist manufacturers in developing targeted solutions and meeting the personalized needs of users in future vehicle market segments.

Indexed as

In-vehicle interactionIn-vehicle interaction input methodsNew energy vehicleUser preference

Identifiers

PMID39027457
PMCPMC11254594

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.