Searched for: author%3A%22de+Winter%2C+J.C.F.%22
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Tabone, W. (author), Happee, R. (author), García, Jorge (author), Lee, Yee Mun (author), Lupetti, M.L. (author), Merat, Natasha (author), de Winter, J.C.F. (author)
Augmented Reality (AR) technology could be utilised to assist pedestrians in navigating safely through traffic. However, whether potential users would understand and use such AR solutions is currently unknown. Nine novel AR interfaces for pedestrian-vehicle communication, previously developed using an experience-based design method, were...
journal article 2023
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Tabone, W. (author), Happee, R. (author), García De Pedro, Jorge (author), Lee, Yee Mun (author), Lupetti, M.L. (author), Merat, Natasha (author), de Winter, J.C.F. (author)
Nine AR interfaces designed using an experience- based, and theoretically informed design approach, were presented in an online questionnaire for user evaluation.<br/>Statistical analysis of presented measures, and the computation of an overall composite score revealed a preference towards traditional and familiar traffic elements.
poster 2022
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Tabone, W. (author), Lee, Yee Mun (author), Merat, Natasha (author), Happee, R. (author), de Winter, J.C.F. (author)
The future urban environment may consist of mixed traffic in which pedestrians interact with automated vehicles (AVs). However, it is still unclear how AVs should communicate their intentions to pedestrians. Augmented reality (AR) technology could transform the future of interactions between pedestrians and AVs by offering targeted and...
conference paper 2021
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Tabone, W. (author), de Winter, J.C.F. (author), Ackermann, Claudia (author), Bärgman, Jonas (author), Baumann, Martin (author), Deb, Shuchisnigdha (author), Emmenegger, Colleen (author), Habibovic, Azra (author), Hagenzieker, Marjan (author), Hancock, P. A. (author), Happee, R. (author), Krems, Josef (author), Lee, John D. (author), Martens, Marieke (author), Merat, Natasha (author), Norman, Don (author), Sheridan, Thomas B. (author), Stanton, Neville A. (author)
Automated driving research over the past decades has mostly focused on highway environments. Recent technological developments have drawn researchers and manufacturers to look ahead at introducing automated driving in cities. The current position paper examines this challenge from the viewpoint of scientific experts. Sixteen Human Factors...
journal article 2021
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Cabrall, C.D.D. (author), Stapel, J.C.J. (author), Happee, R. (author), de Winter, J.C.F. (author)
Objective: We investigated a driver monitoring system (DMS) designed to adaptively back up distracted drivers with automated driving. Background: Humans are likely inadequate for supervising today’s on-road driving automation. Conversely, backup concepts can use eye-tracker DMS to retain the human as the primary driver and use computerized...
journal article 2020
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Kovacsova, N. (author), Grottoli, M. (author), Celiberti, Francesco (author), Lemmens, Yves (author), Happee, R. (author), Hagenzieker, Marjan (author), de Winter, J.C.F. (author)
Powered two-wheeler riders are frequently involved in crashes at intersections because an approaching car driver fails to give right of way. This simulator study aimed to investigate how riders perform an emergency braking maneuver in response to an oncoming car and, second, whether longitudinal motion cues provided by a motion platform...
journal article 2020
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Lu, Z. (author), Happee, R. (author), de Winter, J.C.F. (author)
In highly automated driving, drivers occasionally need to take over control of the car due to limitations of the automated driving system. Research has shown that visually distracted drivers need about 7 s to regain situation awareness (SA). However, it is unknown whether the presence of a hazard affects SA. In the present experiment, 32...
journal article 2020
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Cabrall, C.D.D. (author), Happee, R. (author), de Winter, J.C.F. (author)
For transitions of control in automated vehicles, driver monitoring systems (DMS) may need to discern task difficulty and driver preparedness. Such DMS require models that relate driving scene components, driver effort, and eye measurements. Across two sessions, 15 participants enacted receiving control within 60 randomly ordered dashcam videos ...
journal article 2020
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Doubek, F.H. (author), Loosveld, Erik (author), Happee, R. (author), de Winter, J.C.F. (author)
In highly automated driving, the driver can engage in a nondriving task but sometimes has to take over control. We argue that current takeover quality measures, such as the maximum longitudinal acceleration, are insufficient because they ignore the criticality of the scenario. This paper proposes a novel method of quantifying how well the...
journal article 2020
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Nordhoff, S. (author), de Winter, J.C.F. (author), Payre, William (author), van Arem, B. (author), Happee, R. (author)
In the future, automated shuttles may provide on-demand transport and serve as feeders to public transport systems. However, automated shuttles will only become widely used if they are accepted by the public. This paper presents results of an interview study with 30 users of an automated shuttle on the EUREF (Europäisches Energieforum) campus in...
journal article 2019
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Zhang, Bo (author), Lu, Z. (author), Happee, R. (author), de Winter, J.C.F. (author), Martens, Marieke (author)
In the context of automated driving, a monitoring request (MR) is a means to prepare drivers for a take-over event. However, driver compliance may be an issue because not all MRs require a take-over. In this study, we investigated how drivers’ compliance with MRs was associated with previously experienced scenarios. The compliance level was...
conference paper 2019
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Dreger, F.A. (author), de Winter, J.C.F. (author), Happee, R. (author)
Freeway merging of heavy goods vehicles (HGV) is a safety–critical manoeuvre. However, at present, it is largely unknown how HGV drivers perceive and execute the merging manoeuvre, and how current advanced driver support and automation systems (ADAS) contribute. We performed semi-structured in-depth interviews with 15 HGV drivers to assess...
journal article 2019
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Bazilinskyy, P. (author), Bijker, Laurens (author), Dielissen, Tim (author), French, Shin (author), Mooijman, Tom (author), Peters, Luka (author), Happee, R. (author), Dodou, D. (author), de Winter, J.C.F. (author)
This study is the third iteration in a series of studies aimed to develop a system that allows driving blindfolded. We used a sonification approach, where the predicted angular error of the car 2 seconds into the future was translated into spatialized beeping sounds. In a driving simulator experiment, we tested with 20 participants whether a...
conference paper 2019
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Kooijman, L. (author), Happee, R. (author), de Winter, J.C.F. (author)
In future traffic, automated vehicles may be equipped with external human-machine interfaces (eHMIs) that can communicate with pedestrians. Previous research suggests that, during first encounters, pedestrians regard text-based eHMIs as clearer than light-based eHMIs. However, in much of the previous research, pedestrians were asked to imagine...
journal article 2019
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de Winter, J.C.F. (author), Dodou, D. (author), Happee, R. (author), Eisma, Y.B. (author)
Vehicles are increasingly equipped with sensors that measure the state of the vehicle and surrounding road users. Although most of these sensor data currently remain local to the vehicle, the data could be shared with the aim to improve road safety. We postulate that there is a range of scenarios regarding data sharing, with two extremes: In...
journal article 2019
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Cabrall, C.D.D. (author), Eriksson, Alexander (author), Dreger, F.A. (author), Happee, R. (author), de Winter, J.C.F. (author)
This work aimed to organise recommendations for keeping people engaged during human supervision of driving automation, encouraging a safe and acceptable introduction of automated driving systems. First, heuristic knowledge of human factors, ergonomics, and psychological theory was used to propose solution areas to human supervisory control...
journal article 2019
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Lu, Z. (author), Zhang, B. (author), Feldhütter, A. (author), Happee, R. (author), Martens, M. (author), de Winter, J.C.F. (author)
In conditionally automated driving, drivers do not have to monitor the road, whereas in partially automated driving, drivers have to monitor the road permanently. We evaluated a dynamic allocation of monitoring tasks to human and automation by providing a monitoring request (MR) before a possible take-over request (TOR), with the aim to...
journal article 2019
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de Clercq, Koen (author), Dietrich, Andre (author), Nuñez Velasco, J.P. (author), de Winter, J.C.F. (author), Happee, R. (author)
Objective: In this article, we investigated the effects of external human-machine interfaces (eHMIs) on pedestrians’ crossing intentions. Background: Literature suggests that the safety (i.e., not crossing when unsafe) and efficiency (i.e., crossing when safe) of pedestrians’ interactions with automated vehicles could increase if automated...
journal article 2019
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Dreger, F.A. (author), de Winter, J.C.F. (author), Shyrokau, B. (author), Happee, R. (author)
Merging sections are challenging for drivers of heavy goods vehicles. Visual support for merging was evaluated in a simulator. Experiment 1 tested HMIs that provided participants (n = 5) driving on the on-ramp with a top view or various forms of speed advice for accelerating behind or in front of a truck platoon on the freeway. Experiment 2...
conference paper 2019
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Zhang, Bo (author), de Winter, J.C.F. (author), Varotto, S.F. (author), Happee, R. (author), Martens, Marieke (author)
An important question in automated driving research is how quickly drivers take over control of the vehicle in response to a critical event or a take-over request. Although a large number of studies have been performed, results vary strongly. In this study, we investigated mean take-over times from 129 studies with SAE level 2 automation or...
journal article 2019
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