Natasha Merat
Cited by
Cited by
Transition to manual: Driver behaviour when resuming control from a highly automated vehicle
N Merat, AH Jamson, FCH Lai, M Daly, OMJ Carsten
Transportation research part F: traffic psychology and behaviour 27, 274-282, 2014
Highly automated driving, secondary task performance, and driver state
N Merat, AH Jamson, FCH Lai, O Carsten
Human factors 54 (5), 762-771, 2012
Behavioural changes in drivers experiencing highly-automated vehicle control in varying traffic conditions
AH Jamson, N Merat, OMJ Carsten, FCH Lai
Transportation research part C: emerging technologies 30, 116-125, 2013
Control task substitution in semiautomated driving: Does it matter what aspects are automated?
O Carsten, FCH Lai, Y Barnard, AH Jamson, N Merat
Human factors 54 (5), 747-761, 2012
Surrogate in-vehicle information systems and driver behaviour: Effects of visual and cognitive load in simulated rural driving
AH Jamson, N Merat
Transportation Research Part F: Traffic Psychology and Behaviour 8 (2), 79-96, 2005
The interaction between driving and in-vehicle information systems: Comparison of results from laboratory, simulator and real-world studies
J Santos, N Merat, S Mouta, K Brookhuis, D De Waard
Transportation Research Part F: Traffic Psychology and Behaviour 8 (2), 135-146, 2005
Acceptance of Automated Road Transport Systems (ARTS): an adaptation of the UTAUT model
R Madigan, T Louw, M Dziennus, T Graindorge, E Ortega, M Graindorge, ...
Transportation Research Procedia 14, 2217-2226, 2016
A human factors perspective on automated driving
M Kyriakidis, JCF de Winter, N Stanton, T Bellet, B van Arem, K Brookhuis, ...
Theoretical Issues in Ergonomics Science 20 (3), 223-249, 2019
Preface to the special section on human factors and automation in vehicles: Designing highly automated vehicles with the driver in mind
N Merat, JD Lee
Human factors 54 (5), 681-686, 2012
How do drivers behave in a highly automated car?
N Merat, AH Jamson
University of Iowa, 2009
HASTE deliverable 2: HMI and safety-related driver performance
J Östlund, L Nilsson, O Carsten, N Merat, H Jamson, S Jamson, S Mouta, ...
European Commission EC, 2004
What influences the decision to use automated public transport? Using UTAUT to understand public acceptance of automated road transport systems
R Madigan, T Louw, M Wilbrink, A Schieben, N Merat
Transportation research part F: traffic psychology and behaviour 50, 55-64, 2017
Engaging with highly automated driving: to be or not to be in the loop?
T Louw, N Merat, H Jamson
University of Iowa, 2015
Are you in the loop? Using gaze dispersion to understand driver visual attention during vehicle automation
T Louw, N Merat
Transportation Research Part C: Emerging Technologies 76, 35-50, 2017
Effects of cognitive load on driving performance: The cognitive control hypothesis
J Engström, G Markkula, T Victor, N Merat
Human factors 59 (5), 734-764, 2017
Comparing the driving performance of average and older drivers: The effect of surrogate in-vehicle information systems
N Merat, V Anttila, J Luoma
Transportation Research Part F: Traffic Psychology and Behaviour 8 (2), 147-166, 2005
The effect of stimulus modality on signal detection: Implications for assessing the safety of in-vehicle technology
N Merat, AH Jamson
Human factors 50 (1), 145-158, 2008
Using vision to control locomotion: Looking where you want to go
RM Wilkie, GK Kountouriotis, N Merat, JP Wann
Experimental brain research 204 (4), 539-547, 2010
Crossmodal links between audition and touch in covert endogenous spatial attention
DM Lloyd, N Merat, F Mcglone, C Spence
Perception & Psychophysics 65 (6), 901-924, 2003
What externally presented information do VRUs require when interacting with fully Automated Road Transport Systems in shared space?
N Merat, T Louw, R Madigan, M Wilbrink, A Schieben
Accident Analysis & Prevention 118, 244-252, 2018
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