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The development of a method to assess the effects of traffic situation and time pressure on driver information preferences

The development of a method to assess the effects of traffic situation and time pressure on driver information preferences
The development of a method to assess the effects of traffic situation and time pressure on driver information preferences
Contemporary Driving Automation (DA) is quickly approaching a level where partial autonomy will be available, relying on transferring control back to the driver when the operational limits of DA is reached. To explore what type of information drivers might prefer in control transitions an online test was constructed. The participants are faced with a set of still pictures of traffic situations of varying complexity levels and with different time constraints as situations and time available is likely to vary in real world scenarios. The choices drivers made were then assessed with regards to the contextual and temporal information available to participants. The results indicate that information preferences are dependent both on the complexity of the situation presented as well as the temporal constraints. The results also show that the different temporal and contextual conditions had an effect on decision-making time, where participants orient themselves quicker in the low complexity situations or when the available time is restricted. Furthermore, the method seem to identify changes in behaviour caused by varying the traffic situation and external time pressure. If the results can be validated against a more realistic setting, this particular method may prove to be a cost effective, easily disseminated tool which has potential to gather valuable insights about what information drivers prioritize when confronted with different situations.
adaptation to task demands, driving automation, online survey, decision making
978-3-319-20372-0
0302-9743
3-12
Springer Cham
Eriksson, Alexander
75015c12-48a6-41ac-8fc4-15b1d71237f3
Marcos, Ignacio Solis
e0ae046c-357c-4b9b-9bac-94783157fef8
Kircher, Katja
640ea051-ff2a-407d-8ef2-b9e9c7ed9361
Västfjäll, Daniel
eeae2f69-a242-4048-9c7e-84409d2b7b5e
Stanton, Neville A.
771f9764-27d3-4a71-b8cc-909d600ab19b
Harris, Don
Eriksson, Alexander
75015c12-48a6-41ac-8fc4-15b1d71237f3
Marcos, Ignacio Solis
e0ae046c-357c-4b9b-9bac-94783157fef8
Kircher, Katja
640ea051-ff2a-407d-8ef2-b9e9c7ed9361
Västfjäll, Daniel
eeae2f69-a242-4048-9c7e-84409d2b7b5e
Stanton, Neville A.
771f9764-27d3-4a71-b8cc-909d600ab19b
Harris, Don

Eriksson, Alexander, Marcos, Ignacio Solis, Kircher, Katja, Västfjäll, Daniel and Stanton, Neville A. (2015) The development of a method to assess the effects of traffic situation and time pressure on driver information preferences. In, Harris, Don (ed.) Engineering Psychology and Cognitive Ergonomics. (Lecture Notes in Computer Science, 9174) Berlin, DE. Springer Cham, pp. 3-12. (doi:10.1007/978-3-319-20373-7_1).

Record type: Book Section

Abstract

Contemporary Driving Automation (DA) is quickly approaching a level where partial autonomy will be available, relying on transferring control back to the driver when the operational limits of DA is reached. To explore what type of information drivers might prefer in control transitions an online test was constructed. The participants are faced with a set of still pictures of traffic situations of varying complexity levels and with different time constraints as situations and time available is likely to vary in real world scenarios. The choices drivers made were then assessed with regards to the contextual and temporal information available to participants. The results indicate that information preferences are dependent both on the complexity of the situation presented as well as the temporal constraints. The results also show that the different temporal and contextual conditions had an effect on decision-making time, where participants orient themselves quicker in the low complexity situations or when the available time is restricted. Furthermore, the method seem to identify changes in behaviour caused by varying the traffic situation and external time pressure. If the results can be validated against a more realistic setting, this particular method may prove to be a cost effective, easily disseminated tool which has potential to gather valuable insights about what information drivers prioritize when confronted with different situations.

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More information

Published date: August 2015
Keywords: adaptation to task demands, driving automation, online survey, decision making
Organisations: Transportation Group

Identifiers

Local EPrints ID: 388812
URI: http://eprints.soton.ac.uk/id/eprint/388812
ISBN: 978-3-319-20372-0
ISSN: 0302-9743
PURE UUID: 79dd9b43-78b3-4eaf-b667-adcd8772ff32
ORCID for Alexander Eriksson: ORCID iD orcid.org/0000-0003-1549-1327

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Date deposited: 03 Mar 2016 13:11
Last modified: 14 Mar 2024 23:02

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Contributors

Author: Alexander Eriksson ORCID iD
Author: Ignacio Solis Marcos
Author: Katja Kircher
Author: Daniel Västfjäll
Author: Neville A. Stanton
Editor: Don Harris

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