Evidence map›Paper›PMID 38272977›Full record

ArticleScientific reports2024

Knowledge as a key determinant of public support for autonomous vehicles.

Hao Tan, Jiayan Liu, Cong Chen, Xue Zhao, Jialuo Yang, Chao Tang

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Hao Tan *State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle, Hunan University, Changsha, China. htan@hnu.edu.cn.
Jiayan Liu *State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle, Hunan University, Changsha, China. liujiayan@hnu.edu.cn.
Cong Chen *State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle, Hunan University, Changsha, China.
Xue ZhaoState Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle, Hunan University, Changsha, China.
Jialuo YangState Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle, Hunan University, Changsha, China.
Chao TangState Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle, Hunan University, Changsha, China.

Funding

National Key Technologies R&D Program of China 2015BAH22F01Research Project of State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body 734215211
6 · The paper itself

Abstract

Autonomous vehicles (AVs) have the potential to revolutionize transportation safety and mobility, but many people are still concerned about the safety of AVs and hesitate to use them. Here we survey 4112 individuals to explore the relationship between knowledge and public support for AVs. We find that AV support has a positive relationship with scientific literacy (objective knowledge about science) and perceived understanding of AV (self-assessed knowledge). Respondents who are supportive of AVs tended to have more objective AV knowledge (objective knowledge about AVs). Moreover, the results of further experiments show that increasing people's self-assessed knowledge or gaining additional objective AV knowledge may contribute to increasing their AV support. These findings therefore improve the understanding of the relationship between public knowledge levels and AV support, enabling policy-makers to develop better strategies for raising AV support, specifically, by considering the role of knowledge, which in turn may influence public behavioural intentions and lead to higher levels of AV acceptance.

Indexed as

Automobile DrivingAutonomous VehiclesHumansIntentionSurveys and QuestionnairesTransportation

Identifiers

PMID38272977
PMCPMC10810904

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.