How Perceptual Variables Influence the Behavioral Intention to Use Autonomous Vehicles

The rapid development of technology makes the acceptance of autonomous vehicles (AVs) in modern transport a key issue. The aim of the present research was to explore the impact of AVs on behavioral intention to use. An online survey was conducted, in which factors such as perceived usefulness (PU), perceived ease of use (PEU), perceived trust (PT), social influence (SI), and behavioral intention to use (BIU) were investigated. As a result of the investigation, the correlation analysis revealed that there was a significant positive relationship between the intention and all the factors examined. The practical utility of this research is that the results will support developers and vehicle manufacturers in understanding how different social factors influence the adoption of AVs.

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Publication Details

Published
2024-11-04
DOI
https://doi.org/10.3390/engproc2024079023
Citations
1
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.64
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article

How Perceptual Variables Influence the Behavioral Intention to Use Autonomous Vehicles

Dániel Csikor, Boglárka Eisinger Balassa, Réka Koteczki
1 citations
Human-Automation Interaction and Safety
0.64
article

How Perceptual Variables Influence the Behavioral Intention to Use Autonomous Vehicles

Dániel Csikor, Boglárka Eisinger Balassa, Réka Koteczki
article en
1 citations

Abstract

The rapid development of technology makes the acceptance of autonomous vehicles (AVs) in modern transport a key issue. The aim of the present research was to explore the impact of AVs on behavioral intention to use. An online survey was conducted, in which factors such as perceived usefulness (PU), perceived ease of use (PEU), perceived trust (PT), social influence (SI), and behavioral intention to use (BIU) were investigated. As a result of the investigation, the correlation analysis revealed that there was a significant positive relationship between the intention and all the factors examined. The practical utility of this research is that the results will support developers and vehicle manufacturers in understanding how different social factors influence the adoption of AVs.

Széchenyi István University (HU)
Openalex Percentile: Top 26%
Human-Automation Interaction and Safety
0.64
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