Searched for: author:"de Winter, J.C.F."
(1 - 20 of 129)

Pages

document
Roozendaal, Jeroen (author), Johansson, Emma (author), de Winter, J.C.F. (author), Abbink, D.A. (author), Petermeijer, S.M. (author)
Objective: This study aims to compare the effectiveness and subjective acceptance of three designs for haptic lane-keeping assistance in truck driving. Background: Haptic lane-keeping assistance provides steering torques toward a reference trajectory, either continuously or only when exceeding a bandwidth. These approaches have been...
journal article 2020
document
Kolekar, S.B. (author), de Winter, J.C.F. (author), Abbink, D.A. (author)
Current driving behaviour models are designed for specific scenarios, such as curve driving, obstacle avoidance, car-following, or overtaking. However, humans can drive in diverse scenarios. Can we find an underlying principle from which driving behaviour in different scenarios emerges? We propose the Driver’s Risk Field (DRF), a two...
journal article 2020
document
Kolekar, S.B. (author), de Winter, J.C.F. (author), Abbink, D.A. (author)
Gibson and Crooks (1938) argued that a ‘field of safe travel’ could qualitatively explain drivers' steering behavior on straights, curved roads, and while avoiding obstacles. This study aims to quantitatively explain driver behavior while avoiding obstacles on a straight road, and quantify the ‘Driver's Risk Field’ (DRF). In a fixed-based...
journal article 2020
document
Krüger, Matti (author), Driessen, T. (author), Wiebel-Herboth, Christiane B. (author), de Winter, J.C.F. (author), Wersing, Heiko (author)
With the rise of partially automated cars, drivers are more and more required to judge the degree of responsibility that can be delegated to vehicle assistant systems. This can be supported by utilizing interfaces that intuitively convey real-time reliabilities of system functions such as environment sensing. We designed a vibrotactile...
journal article 2020
document
Kovacsova, N. (author), Grottoli, M. (author), Celiberti, Francesco (author), Lemmens, Yves (author), Happee, R. (author), Hagenzieker, M.P. (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
document
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
document
Kovacsova, N. (author), Vlakveld, W. P. (author), de Winter, J.C.F. (author), Hagenzieker, M.P. (author)
Research shows that the ability to anticipate safety-critical situations is predictive of safe performance in traffic. Thus far, hazard anticipation training has been developed mainly for car drivers. These training programs may not be appropriate for cyclists who are exposed to different types of hazards. This study aimed to develop a PC...
journal article 2020
document
Eisma, Y.B. (author), Looijestijn, Anouk E. (author), de Winter, J.C.F. (author)
In many domains, including air traffic control, observers have to detect conflicts between moving objects. However, it is unclear what the effect of conflict angle is on observers’ conflict detection performance. In addition, it has been speculated that observers use specific viewing techniques while performing a conflict detection task, but...
journal article 2020
document
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
document
Bazilinskyy, P. (author), Eisma, Y.B. (author), Dodou, D. (author), de Winter, J.C.F. (author)
Objective: Research has shown that perceived risk is a vital variable in the understanding of road traffic safety. Having experience in a particular traffic environment can be expected to affect perceived risk. More specifically, drivers may readily recognize traffic hazards when driving in their own world region, resulting in high perceived...
journal article 2020
document
Eisma, Y.B. (author), Borst, C. (author), van Paassen, M.M. (author), de Winter, J.C.F. (author)
Objective: The aim of the study was to investigate the effect of augmented feedback on participants’ workload, performance, and distribution of visual attention. Background: An important question in human–machine interface design is whether the operator should be provided with direct solutions. We focused on the solution space diagram (SSD),...
journal article 2020
document
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
document
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
document
Eisma, Y.B. (author), van Bergen, Steven (author), ter Brake, Sjoerd (author), Hensen, Matthijs (author), Tempelaar, Willem Jan (author), de Winter, J.C.F. (author)
In the future, automated cars may feature external human–machine interfaces (eHMIs) to communicate relevant information to other road users. However, it is currently unknown where on the car the eHMI should be placed. In this study, 61 participants each viewed 36 animations of cars with eHMIs on either the roof, windscreen, grill, above the...
journal article 2020
document
Eisma, Y.B. (author), Hancock, P. A. (author), de Winter, J.C.F. (author)
Objective: We review the sampling models described in John Senders’s doctoral thesis on “visual sampling processes” via a ready and accessible exposition. Background: John Senders left a significant imprint on human factors/ergonomics (HF/E). Here, we focus on one preeminent aspect of his career, namely visual attention. Methods: We present,...
journal article 2020
document
Melman, T. (author), de Winter, J.C.F. (author), Mouton, Xavier (author), Tapus, Adriana (author), Abbink, D.A. (author)
Several modern vehicles provide the option to select a driving mode. However, the literature contains no empirical studies that investigate how driving modes affect the vehicle's dynamic behaviour in regular on-road driving. We examined for which CAN-bus signals the differences between Renault's Multi-Sense® comfort and sport modes are most...
journal article 2019
document
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
document
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
document
Matthews, Gerald (author), de Winter, J.C.F. (author), Hancock, Peter A. (author)
We examine the continuing use of subjective workload responses to index an operator’s state, either by themselves or as part of a collective suite of measurements. Lack of convergence of subjective scales with physiological and performance-based measures calls into question whether there is any unitary workload construct that underpins...
journal article 2019
document
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
Searched for: author:"de Winter, J.C.F."
(1 - 20 of 129)

Pages