Searched for: subject%3A%22Human%255C%252Bfactors%22
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Vos, J. (author)
This dissertation explores what road characteristics trigger drivers’ speed adjustments when approaching freeway curves. It combines speed prediction modelling and human factors research methods. The results show that drivers primarily consider visible cues such as the preceding roadway, deflection angle, and the number of lanes, as opposed to...
doctoral thesis 2024
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Burggraaf, J.M. (author)
Accidents at work come at a major cost including fatalities, disability and economic burden. The ideas around accident causation have changed over time from describing accidents as ‘acts of gods’ and as the fault of individual employees, to accidents being the result of an interaction between organizational, technical and human factors. Included...
doctoral thesis 2023
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Kaur, M. (author), Sri Ramulu, Harshini (author), Acar, Yasemin (author), Fiebig, T. (author)
In the system and network administration domain, gender diversity remains a distant target. The experiences and perspectives of sysadmins who belong to marginalized genders (non cis-men) are not well understood beyond the fact that sysadmin work environments are generally not equitable. We address this knowledge gap in our study by focusing on...
journal article 2023
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Yuan, Y. (author), Wang, X. (author), Calvert, S.C. (author), Happee, R. (author), Wang, M. (author)
Current driver behaviour models (DBMs) are primarily designed for the general driver population under specific scenarios, such as car following or lane changing. Hence DBMs capturing individual behaviour under various scenarios are lacking. This paper presents a novel method to quantify individual perceived driving risk in the longitudinal...
journal article 2023
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Kelly, Sage (author), Kaye, Sherrie Anne (author), White, Katherine M. (author), Oviedo-Trespalacios, O. (author)
Participatory data stewardship (PDS) empowers individuals to shape and govern their data via responsible collection and use. As artificial intelligence (AI) requires massive amounts of data, research must assess what factors predict consumers’ willingness to provide their data to AI. This mixed-methods study applied the extended Technology...
journal article 2023
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Sheykhfard, Abbas (author), Haghighi, Farshidreza (author), Papadimitriou, E. (author), Das, Subasish (author), van Gelder, P.H.A.J.M. (author)
Although signal countdown timers (SCTs) are likely to enhance efficiency at signalized intersections, there is little research on how they affect road users’ behavior. The present study explores factors associated with driver behavior through two approaches to examine how SCTs influence drivers’ actions toward pedestrians violating red lights....
journal article 2023
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Nordhoff, S. (author), Lee, John D. (author), Calvert, S.C. (author), Berge, S.H. (author), Hagenzieker, Marjan (author), Happee, R. (author)
Tesla's Full Self-Driving Beta (FSD) program introduces technology that extends the operational design domain of standard Autopilot from highways to urban roads. This research conducted 103 in-depth semi-structured interviews with users of Tesla's FSD Beta and standard Autopilot to evaluate the impact on user behavior and perception. It was...
journal article 2023
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Oskina, M.I. (author), Farah, H. (author), Morsink, Peter (author), Happee, R. (author), van Arem, B. (author)
The operation of automated vehicles (AVs) on shared roads requires attention concerning their interactions with vulnerable road users (VRUs), such as cyclists. This study investigates the safety of cyclists when they interact with an AV and compares it with their interaction with a conventional vehicle. Overall, 29 cyclists participated in a...
journal article 2023
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Cuentas-Hernandez, Sandra (author), Li, Xiaomeng (author), King, Mark J. (author), Oviedo-Trespalacios, O. (author)
Introduction: Driver distraction has been recognized for a long time as a significant road safety issue. It has been consistently reported that drivers spend considerable time engaged in activities that are secondary to the driving task. The temporary diversion of attention from safety-critical driving tasks has often been associated with...
journal article 2023
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Vo, Tung (author), Barbour, N.M. (author), Palaio, Lori (author), Maness, Michael (author)
Bikesharing is a popular transportation mode for people to commute, for leisurely travel, or for recreation purposes in their daily tasks. Throughout 2020, the COVID-19 pandemic had significant impacts on bikeshare usage in the United States. Previous studies show that the pandemic negatively affected bikeshare activity patterns. To examine the...
book chapter 2023
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Scerri, Karyn (author), Attard, Maria (author), Duives, D.C. (author), Cats, O. (author)
Understanding people’s travel behavior is key to creating spaces that discourage car use, especially for short, walkable distances. The scope of this study is to understand better people’s propensity to use a car rather than walk for short-distance trips by focusing on the concept of perceived exertion (PE). A comparison is performed of two...
journal article 2023
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de Winter, J.C.F. (author), Petermeijer, S.M. (author), Abbink, D.A. (author)
A major question in human-automation interaction is whether tasks should be traded or shared between human and automation. This work presents reflections—which have evolved through classroom debates between the authors over the past 10 years—on these two forms of human-automation interaction, with a focus on the automated driving domain. As...
journal article 2022
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Adar, M.E. (author), de Bruin, R. (author), Keyson, D.V. (author)
Whether it is from the office-office or the home office, creating a physical work environment is essential for both improving work performance as well as for the physical and mental wellbeing of employees. But as jobs are becoming increasingly less active, and working adults are spending almost a third of their lives in the office, most of their...
conference paper 2022
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Hamdar, Samer Hani (author), Talebpour, Alireza (author), D’sa, Kyla (author), Knoop, V.L. (author), Daamen, W. (author), Treiber, Martin (author)
Pedestrians are among the travelers most vulnerable to collisions that are associated with high fatality and injury rates. The increasing rate of urbanization and mixed land-use construction make walking (along with other non-motorized travel) a predominant transportation mode with a wide variety of behaviors expected. Because of the inherent...
journal article 2022
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van Gent, P. (author), Farah, H. (author), Nes, Nicole Van (author), van Arem, B. (author)
Traffic congestion is a major societal challenge. By advising drivers on the optimal lane to drive, traffic flow can be improved, and congestion reduced. In this paper we describe the development of a lane-specific advice Human Machine Interface (HMI). Persuading drivers to follow an advice that is beneficial to the traffic situation, but may...
journal article 2020
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van Gent, P. (author), Farah, H. (author), Nes, Nicole Van (author), van Arem, B. (author)
Persuasive in-vehicle systems aim to intuitively influence the attitudes and/or behaviour of a driver (i.e. without forcing them). However, the challenge in using these systems in a driving setting, is to maximise the persuasive effect without infringing upon the driver's safety. This paper proposes a conceptual model for driver persuasion at...
journal article 2019
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Eriksson, Alexander (author), Petermeijer, S.M. (author), Zimmermann, Markus (author), de Winter, J.C.F. (author), Bengler, Klaus J. (author), Stanton, Neville A. (author)
This paper assessed four types of human–machine interfaces (HMIs), classified according to the stages of automation proposed by Parasuraman et al. [“A model for types and levels of human interaction with automation,” IEEE Trans. Syst. Man, Cybern. A, Syst. Humans, vol. 30, no. 3, pp. 286–297, May 2000]. We hypothesized that drivers would...
journal article 2019
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Cleij, D. (author), Venrooij, J. (author), Pretto, Paolo (author), Pool, D.M. (author), Mulder, Max (author), Bulthoff, Heinrich H. (author)
Motion cueing algorithms are used in motion simulation to map the inertial vehicle motion onto the limited simulator motion space. This mapping causes mismatches between the unrestricted visual motion and the constrained inertial motion, which results in perceived motion incongruence (PMI). It is still largely unknown what exactly causes...
journal article 2018
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Eisma, Y.B. (author), Cabrall, C.D.D. (author), de Winter, J.C.F. (author)
In pioneering work, Senders (1983) tasked five participants to watch a bank of six dials, and found that glance rates and times glanced at dials increase linearly as a function of the frequency bandwidth of the dial's pointer. Senders did not record the angle of the pointers synchronously with eye movements, and so could not assess...
journal article 2018
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de Winter, J.C.F. (author), Stanton, NA (author), Price, J.S. (author), Mistry, H. (author)
Until automated cars function perfectly, drivers will have to take over control when automation fails or reaches its functional limits. Two simulator experiments (N = 24 and 27) were conducted, each testing four automation levels ranging from manual control (MC) to highly automated driving. In both experiments, participants about once every 3...
journal article 2016
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