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Are you in the loop? Using gaze dispersion to understand driver visual attention during vehicle automation

Transportation research. Part C, Emerging technologies, 2017-03, Vol.76, p.35-50

2017

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Corrigendum to "Drivers' gaze patterns when resuming control with a head-up display: Effects of automation level and time budget" [Accid. Anal. Prevent. 180 (2023) 106905]

Accident analysis and prevention, 2024-02, Vol.195, p.107295-107295, Article 107295

2024

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Drivers’ gaze patterns when resuming control with a head-up-display: Effects of automation level and time budget

Accident analysis and prevention, 2023-02, Vol.180, p.106905-106905, Article 106905

2023

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The effect of varying levels of vehicle automation on drivers' lane changing behaviour

PloS one, 2018-02, Vol.13 (2), p.e0192190-e0192190

2018

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The effect of motor control requirements on drivers’ eye-gaze pattern during automated driving

Accident analysis and prevention, 2020-12, Vol.148, p.105788-105788, Article 105788

2020

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The effect of information from dash-based human-machine interfaces on drivers' gaze patterns and lane-change manoeuvres after conditionally automated driving

Accident analysis and prevention, 2022-09, Vol.174, p.106726-106726, Article 106726

2022

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The “Out-of-the-Loop” concept in automated driving: proposed definition, measures and implications

Cognition, technology & work, 2019-02, Vol.21 (1), p.87-98

2019

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Engaging in NDRTs affects drivers’ responses and glance patterns after silent automation failures

Transportation research. Part F, Traffic psychology and behaviour, 2019-04, Vol.62, p.870-882

2019

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Predicting takeover response to silent automated vehicle failures

PloS one, 2020-11, Vol.15 (11), p.e0242825-e0242825

2020

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Usability testing of three visual HMIs for assisted driving: How design impacts driver distraction and mental models

Ergonomics, 2023-08, Vol.66 (8), p.1142-1163

2023

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Do drivers change their manual car-following behaviour after automated car-following?

Cognition, technology & work, 2021-11, Vol.23 (4), p.669-683

2021

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Willingness to Pay for Conditional Automated Driving among Segments of Potential Buyers in Europe

Journal of advanced transportation, 2023-04, Vol.2023, p.1-14

2023

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User-centred design evaluation of symbols for adaptive cruise control (ACC) and lane-keeping assistance (LKA)

Cognition, technology & work, 2021-11, Vol.23 (4), p.685-703

2021

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Managing Big Data for Addressing Research Questions in a Collaborative Project on Automated Driving Impact Assessment

Sensors (Basel, Switzerland), 2020-11, Vol.20 (23), p.6773

2020

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Are multimodal travellers going to abandon sustainable travel for L3 automated vehicles?

Transportation research interdisciplinary perspectives, 2021-06, Vol.10, p.100380, Article 100380

2021

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Is Users’ Trust during Automated Driving Different When Using an Ambient Light HMI, Compared to an Auditory HMI?

Information (Basel), 2023-04, Vol.14 (5), p.260

2023

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Profiling the Enthusiastic, Neutral, and Sceptical Users of Conditionally Automated Cars in 17 Countries: A Questionnaire Study

Journal of advanced transportation, 2022-04, Vol.2022, p.1-22

2022

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Measuring Drivers’ Physiological Response to Different Vehicle Controllers in Highly Automated Driving (HAD): Opportunities for Establishing Real-Time Values of Driver Discomfort

Information (Basel), 2020-08, Vol.11 (8), p.390

2020

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What influences the decision to use automated public transport? Using UTAUT to understand public acceptance of automated road transport systems

Transportation research. Part F, Traffic psychology and behaviour, 2017-10, Vol.50, p.55-64

2017

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What externally presented information do VRUs require when interacting with fully Automated Road Transport Systems in shared space?

Accident analysis and prevention, 2018-09, Vol.118, p.244-252

2018

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Designing the interaction of automated vehicles with other traffic participants: design considerations based on human needs and expectations

Cognition, technology & work, 2019-02, Vol.21 (1), p.69-85

2019

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Were they in the loop during automated driving? Links between visual attention and crash potential

Injury prevention, 2017-08, Vol.23 (4), p.281

2017

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Why would people want to travel more with automated cars?

Transportation research. Part F, Traffic psychology and behaviour, 2022-08, Vol.89, p.143-154

2022

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Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: A questionnaire study among 9,118 car drivers from eight European countries

Transportation research. Part F, Traffic psychology and behaviour, 2020-10, Vol.74, p.280-297

2020

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Coming back into the loop: Drivers’ perceptual-motor performance in critical events after automated driving

Accident analysis and prevention, 2017-11, Vol.108, p.9-18

2017

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Are you in the loop? Using gaze dispersion to understand driver visual attention during vehicle automation

Corrigendum to "Drivers' gaze patterns when resuming control with a head-up display: Effects of automation level and time budget" [Accid. Anal. Prevent. 180 (2023) 106905]

Drivers’ gaze patterns when resuming control with a head-up-display: Effects of automation level and time budget

The effect of varying levels of vehicle automation on drivers' lane changing behaviour

The effect of motor control requirements on drivers’ eye-gaze pattern during automated driving

The effect of information from dash-based human-machine interfaces on drivers' gaze patterns and lane-change manoeuvres after conditionally automated driving

The “Out-of-the-Loop” concept in automated driving: proposed definition, measures and implications

Engaging in NDRTs affects drivers’ responses and glance patterns after silent automation failures

Predicting takeover response to silent automated vehicle failures

Usability testing of three visual HMIs for assisted driving: How design impacts driver distraction and mental models

Do drivers change their manual car-following behaviour after automated car-following?

Willingness to Pay for Conditional Automated Driving among Segments of Potential Buyers in Europe

User-centred design evaluation of symbols for adaptive cruise control (ACC) and lane-keeping assistance (LKA)

Managing Big Data for Addressing Research Questions in a Collaborative Project on Automated Driving Impact Assessment

Are multimodal travellers going to abandon sustainable travel for L3 automated vehicles?

Is Users’ Trust during Automated Driving Different When Using an Ambient Light HMI, Compared to an Auditory HMI?

Profiling the Enthusiastic, Neutral, and Sceptical Users of Conditionally Automated Cars in 17 Countries: A Questionnaire Study

Measuring Drivers’ Physiological Response to Different Vehicle Controllers in Highly Automated Driving (HAD): Opportunities for Establishing Real-Time Values of Driver Discomfort

What influences the decision to use automated public transport? Using UTAUT to understand public acceptance of automated road transport systems

What externally presented information do VRUs require when interacting with fully Automated Road Transport Systems in shared space?

Designing the interaction of automated vehicles with other traffic participants: design considerations based on human needs and expectations

Were they in the loop during automated driving? Links between visual attention and crash potential

Why would people want to travel more with automated cars?

Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: A questionnaire study among 9,118 car drivers from eight European countries

Coming back into the loop: Drivers’ perceptual-motor performance in critical events after automated driving

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