Evidence map›Paper›PMID 38837940›Full record

ArticlePloS one2024

The leading role of personality in concerns about autonomous vehicles.

Márta Volosin, Martin Kálnay, Ádám Bánffi, Natália Nyeső, Gabriella Viktória Molnár, Zsolt Palatinus, Tamás Martos

Abstract read
In one paragraph

Article in PloS one, 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

7 authors.

Márta VolosinInstitute of Psychology, University of Szeged, Szeged, Hungary.ORCID 0000-0001-5190-4294
Martin KálnayInstitute of Psychology, University of Szeged, Szeged, Hungary.
Ádám BánffiInstitute of Psychology, University of Szeged, Szeged, Hungary.ORCID 0000-0003-0270-9358
Natália NyesőInstitute of Psychology, University of Szeged, Szeged, Hungary.
Gabriella Viktória MolnárInstitute of Psychology, University of Szeged, Szeged, Hungary.
Zsolt PalatinusInstitute of Psychology, University of Szeged, Szeged, Hungary.
Tamás MartosInstitute of Psychology, University of Szeged, Szeged, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Development of autonomous vehicles (AVs) is growing in a rapid rate, however, the most dominant barriers in their adoption seem to be rather psychological than technical. The present online survey study aimed to investigate which demographical and personality dimensions predict attitudes towards AVs on a Hungarian sample (N = 328). Data was collected by convenience and snowball sampling. Three-level hierarchical regression models were applied: in the first level, demographical variables, then general personality traits and third, attitude-like personality factors were entered. We demonstrated that the predictive effect of age, gender and education disappeared when personality dimensions were included into the models. Importantly, more positive general attitudes towards technology and higher optimism regarding innovations predicted eagerness to adopt AVs. On the other hand, individuals with more negative attitudes and higher dependence on technology as well as those with lower level of Sensory Sensation Seeking and higher level of Conscientiousness were more concerned about AVs. Our results suggest that AV acceptance cannot be regarded as a one-dimensional construct and that certain personality traits might be stronger predictors of AV acceptance than demographical factors.

Indexed as

PersonalityAdolescentAdultAttitudeFemaleHumansHungaryMaleMiddle AgedSurveys and QuestionnairesYoung Adult

Identifiers

PMID38837940
PMCPMC11152294

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.