TY - JOUR
T1 - Shifting perspectives on autonomous vehicles
T2 - using laser scanning technology to engage the public via the analysis of journeys seen ‘through the eyes’ of autonomous vehicles
AU - Belkouri, Daria
AU - Laing, Richard
AU - Gray, David
N1 - Funding information: The research in this paper was part-funded by the Interreg North Sea Programme, though the project PAV – Planning for Autonomous Vehicles.
PY - 2022/1/30
Y1 - 2022/1/30
N2 - 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 emphasized 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.
AB - 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 emphasized 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.
KW - Autonomous vehicles
KW - Urban space
KW - Human-machine coexistence
U2 - 10.6093/1970-9870/8635
DO - 10.6093/1970-9870/8635
M3 - Article
VL - 2022
SP - 167
EP - 179
JO - TeMA Journal of Land Use, Mobility and Environment
JF - TeMA Journal of Land Use, Mobility and Environment
SN - 1970-9889
IS - Special Issue 1
ER -