Perception and Trust in Autonomous Vehicles Post Cyber Security Incidents

Adam Gorine; Sana Abid Khan

doi:doi:10.11648/j.ajcst.20240704.11

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Perception and Trust in Autonomous Vehicles Post Cyber Security Incidents

Adam Gorine^*

, Sana Abid Khan

Published in American Journal of Computer Science and Technology (Volume 7, Issue 4)

Received: 9 August 2024 Accepted: 2 September 2024 Published: 18 October 2024

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Abstract

The integration of Autonomous Vehicles (AVs) into modern systems of transportation brings with it a new and transformative era. Central to the successful realisation of this transformation is the public’s trust in these vehicles and their safety, particularly in the aftermath of cyber security breaches. The following research therefore explores the various factors underpinning this trust in the context of cyber security incidents. A dual-methodological approach was used in the study. Quantitative data was gathered from structured questionnaires distributed to and completed by a cohort of 151 participants and qualitative data, from comprehensive semi-structured interviews with AV technology and cyber security experts. Rigorous Structural Equation Modelling of the quantitative data then allowed for the identification of the key factors influencing public trust from the standpoint of the research participants including the perceived safety of AV technology, the severity of cyber security incidents, the historic cyber security track record of companies and the frequency of successful cyber security breaches. The role of government regulations, though also influential, emerged as less so. The qualitative data, processed via thematic analysis, resonated with the findings from the quantitative data. This highlighted the importance of perceived safety, incident severity, regulatory frameworks and corporate legacy in shaping public trust. Whilst cyber incidents no doubt erode trust in AVs, a combination of technological perception, regulatory scaffolding and corporate history critically impacts this. These insights are instrumental for stakeholders, from policymakers to AV manufacturers, in charting the course of AV assimilation successfully in future.

Published in	American Journal of Computer Science and Technology (Volume 7, Issue 4)
DOI	10.11648/j.ajcst.20240704.11
Page(s)	122-138
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Autonomous Vehicles, Cyber Attacks, Public Trust, Perceived Safety, Regulatory Frameworks

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APA Style

Gorine, A., Khan, S. A. (2024). Perception and Trust in Autonomous Vehicles Post Cyber Security Incidents. American Journal of Computer Science and Technology, 7(4), 122-138. https://doi.org/10.11648/j.ajcst.20240704.11

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ACS Style

Gorine, A.; Khan, S. A. Perception and Trust in Autonomous Vehicles Post Cyber Security Incidents. Am. J. Comput. Sci. Technol. 2024, 7(4), 122-138. doi: 10.11648/j.ajcst.20240704.11

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AMA Style

Gorine A, Khan SA. Perception and Trust in Autonomous Vehicles Post Cyber Security Incidents. Am J Comput Sci Technol. 2024;7(4):122-138. doi: 10.11648/j.ajcst.20240704.11

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@article{10.11648/j.ajcst.20240704.11,
  author = {Adam Gorine and Sana Abid Khan},
  title = {Perception and Trust in Autonomous Vehicles Post Cyber Security Incidents
},
  journal = {American Journal of Computer Science and Technology},
  volume = {7},
  number = {4},
  pages = {122-138},
  doi = {10.11648/j.ajcst.20240704.11},
  url = {https://doi.org/10.11648/j.ajcst.20240704.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcst.20240704.11},
  abstract = {The integration of Autonomous Vehicles (AVs) into modern systems of transportation brings with it a new and transformative era. Central to the successful realisation of this transformation is the public’s trust in these vehicles and their safety, particularly in the aftermath of cyber security breaches. The following research therefore explores the various factors underpinning this trust in the context of cyber security incidents. A dual-methodological approach was used in the study. Quantitative data was gathered from structured questionnaires distributed to and completed by a cohort of 151 participants and qualitative data, from comprehensive semi-structured interviews with AV technology and cyber security experts. Rigorous Structural Equation Modelling of the quantitative data then allowed for the identification of the key factors influencing public trust from the standpoint of the research participants including the perceived safety of AV technology, the severity of cyber security incidents, the historic cyber security track record of companies and the frequency of successful cyber security breaches. The role of government regulations, though also influential, emerged as less so. The qualitative data, processed via thematic analysis, resonated with the findings from the quantitative data. This highlighted the importance of perceived safety, incident severity, regulatory frameworks and corporate legacy in shaping public trust. Whilst cyber incidents no doubt erode trust in AVs, a combination of technological perception, regulatory scaffolding and corporate history critically impacts this. These insights are instrumental for stakeholders, from policymakers to AV manufacturers, in charting the course of AV assimilation successfully in future.
},
 year = {2024}
}

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TY  - JOUR
T1  - Perception and Trust in Autonomous Vehicles Post Cyber Security Incidents

AU  - Adam Gorine
AU  - Sana Abid Khan
Y1  - 2024/10/18
PY  - 2024
N1  - https://doi.org/10.11648/j.ajcst.20240704.11
DO  - 10.11648/j.ajcst.20240704.11
T2  - American Journal of Computer Science and Technology
JF  - American Journal of Computer Science and Technology
JO  - American Journal of Computer Science and Technology
SP  - 122
EP  - 138
PB  - Science Publishing Group
SN  - 2640-012X
UR  - https://doi.org/10.11648/j.ajcst.20240704.11
AB  - The integration of Autonomous Vehicles (AVs) into modern systems of transportation brings with it a new and transformative era. Central to the successful realisation of this transformation is the public’s trust in these vehicles and their safety, particularly in the aftermath of cyber security breaches. The following research therefore explores the various factors underpinning this trust in the context of cyber security incidents. A dual-methodological approach was used in the study. Quantitative data was gathered from structured questionnaires distributed to and completed by a cohort of 151 participants and qualitative data, from comprehensive semi-structured interviews with AV technology and cyber security experts. Rigorous Structural Equation Modelling of the quantitative data then allowed for the identification of the key factors influencing public trust from the standpoint of the research participants including the perceived safety of AV technology, the severity of cyber security incidents, the historic cyber security track record of companies and the frequency of successful cyber security breaches. The role of government regulations, though also influential, emerged as less so. The qualitative data, processed via thematic analysis, resonated with the findings from the quantitative data. This highlighted the importance of perceived safety, incident severity, regulatory frameworks and corporate legacy in shaping public trust. Whilst cyber incidents no doubt erode trust in AVs, a combination of technological perception, regulatory scaffolding and corporate history critically impacts this. These insights are instrumental for stakeholders, from policymakers to AV manufacturers, in charting the course of AV assimilation successfully in future.

VL  - 7
IS  - 4
ER  -

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Author Information

Adam Gorine

School of Computing and Creative Technology, University of the West of England, Bristol, United Kingdom

Contact Email

http://orcid.org/0000-0001-7378-8933
Sana Abid Khan

School of Computing and Creative Technology, University of the West of England, Bristol, United Kingdom

Contact Email

http://orcid.org/0009-0007-7120-0041

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APA Style

Gorine, A., Khan, S. A. (2024). Perception and Trust in Autonomous Vehicles Post Cyber Security Incidents. American Journal of Computer Science and Technology, 7(4), 122-138. https://doi.org/10.11648/j.ajcst.20240704.11

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ACS Style

Gorine, A.; Khan, S. A. Perception and Trust in Autonomous Vehicles Post Cyber Security Incidents. Am. J. Comput. Sci. Technol. 2024, 7(4), 122-138. doi: 10.11648/j.ajcst.20240704.11

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AMA Style

Gorine A, Khan SA. Perception and Trust in Autonomous Vehicles Post Cyber Security Incidents. Am J Comput Sci Technol. 2024;7(4):122-138. doi: 10.11648/j.ajcst.20240704.11

Copy | Download

@article{10.11648/j.ajcst.20240704.11,
  author = {Adam Gorine and Sana Abid Khan},
  title = {Perception and Trust in Autonomous Vehicles Post Cyber Security Incidents
},
  journal = {American Journal of Computer Science and Technology},
  volume = {7},
  number = {4},
  pages = {122-138},
  doi = {10.11648/j.ajcst.20240704.11},
  url = {https://doi.org/10.11648/j.ajcst.20240704.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcst.20240704.11},
  abstract = {The integration of Autonomous Vehicles (AVs) into modern systems of transportation brings with it a new and transformative era. Central to the successful realisation of this transformation is the public’s trust in these vehicles and their safety, particularly in the aftermath of cyber security breaches. The following research therefore explores the various factors underpinning this trust in the context of cyber security incidents. A dual-methodological approach was used in the study. Quantitative data was gathered from structured questionnaires distributed to and completed by a cohort of 151 participants and qualitative data, from comprehensive semi-structured interviews with AV technology and cyber security experts. Rigorous Structural Equation Modelling of the quantitative data then allowed for the identification of the key factors influencing public trust from the standpoint of the research participants including the perceived safety of AV technology, the severity of cyber security incidents, the historic cyber security track record of companies and the frequency of successful cyber security breaches. The role of government regulations, though also influential, emerged as less so. The qualitative data, processed via thematic analysis, resonated with the findings from the quantitative data. This highlighted the importance of perceived safety, incident severity, regulatory frameworks and corporate legacy in shaping public trust. Whilst cyber incidents no doubt erode trust in AVs, a combination of technological perception, regulatory scaffolding and corporate history critically impacts this. These insights are instrumental for stakeholders, from policymakers to AV manufacturers, in charting the course of AV assimilation successfully in future.
},
 year = {2024}
}

Copy | Download

TY  - JOUR
T1  - Perception and Trust in Autonomous Vehicles Post Cyber Security Incidents

AU  - Adam Gorine
AU  - Sana Abid Khan
Y1  - 2024/10/18
PY  - 2024
N1  - https://doi.org/10.11648/j.ajcst.20240704.11
DO  - 10.11648/j.ajcst.20240704.11
T2  - American Journal of Computer Science and Technology
JF  - American Journal of Computer Science and Technology
JO  - American Journal of Computer Science and Technology
SP  - 122
EP  - 138
PB  - Science Publishing Group
SN  - 2640-012X
UR  - https://doi.org/10.11648/j.ajcst.20240704.11
AB  - The integration of Autonomous Vehicles (AVs) into modern systems of transportation brings with it a new and transformative era. Central to the successful realisation of this transformation is the public’s trust in these vehicles and their safety, particularly in the aftermath of cyber security breaches. The following research therefore explores the various factors underpinning this trust in the context of cyber security incidents. A dual-methodological approach was used in the study. Quantitative data was gathered from structured questionnaires distributed to and completed by a cohort of 151 participants and qualitative data, from comprehensive semi-structured interviews with AV technology and cyber security experts. Rigorous Structural Equation Modelling of the quantitative data then allowed for the identification of the key factors influencing public trust from the standpoint of the research participants including the perceived safety of AV technology, the severity of cyber security incidents, the historic cyber security track record of companies and the frequency of successful cyber security breaches. The role of government regulations, though also influential, emerged as less so. The qualitative data, processed via thematic analysis, resonated with the findings from the quantitative data. This highlighted the importance of perceived safety, incident severity, regulatory frameworks and corporate legacy in shaping public trust. Whilst cyber incidents no doubt erode trust in AVs, a combination of technological perception, regulatory scaffolding and corporate history critically impacts this. These insights are instrumental for stakeholders, from policymakers to AV manufacturers, in charting the course of AV assimilation successfully in future.

VL  - 7
IS  - 4
ER  -

Copy | Download