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Shifting perspectives on autonomous vehicles: using laser scanning technology to engage the public via the analysis of journeys seen ‘through the eyes’ of autonomous vehicles.

Belkouri, Daria; Laing, Richard; Gray, David

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Abstract

It is likely that Autonomous Vehicles will have significant social, cultural, spatial and environmental implications and that the interaction between humans, automated vehicles and physical environment will provide an array of challenges. This paper aims to explore the use of innovative visualisation approaches, to foster discussion on possible scenarios involving AVs. It is argued that such an approach might be used to help conceptualise human experiences with the potential to enhance understanding of the complex human-machine associations. Presenting journeys from different perspectives and reconceptualising the context through the eyes of AVs emphasised the nuances of experience between the machines, urban space and human bodies. Unexpected user-technology interactions will emerge as humans are not always passive followers and can be apprehensive when it comes to accepting such a novel technology as self-driving vehicles. The focus applied in the methodology and data capture was on inclusivity of data, showing not only movement but also noise and human experience of a space. The integration of AVs on public roads will rely on technical innovation to ensure that vehicles can operate safely yet, the study of the perceptual and ethical effects of technology and potential influences on society via engaging the public will help to manage expectations and create platforms for mutual learning.

Citation

BELKOURI, D., LAING, R. and GRAY, D. 2022. Shifting perspectives on autonomous vehicles: using laser scanning technology to engage the public via the analysis of journeys seen 'through the eyes' of autonomous vehicles. TeMA: journal of land use, mobility and environment [online], 2022(1): new scenarios for safe mobility in urban areas, pages 167-179. Available from: https://doi.org/10.6092/1970-9870/8635

Journal Article Type Article
Acceptance Date Nov 19, 2021
Online Publication Date Jan 31, 2022
Publication Date Jan 30, 2022
Deposit Date Feb 3, 2022
Publicly Available Date Feb 3, 2022
Journal TeMA: journal of land use, mobility and environment
Print ISSN 1970-9889
Electronic ISSN 1970-9870
Publisher Federico II University Press
Peer Reviewed Peer Reviewed
Volume 2022
Issue 1
Pages 167-179
DOI https://doi.org/10.6093/1970-9870/8635
Keywords Autonomous vehicles; Engagement; Urban space; Human-machine coexistence; Automation
Public URL https://rgu-repository.worktribe.com/output/1584897

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