Searched for: author%3A%22Happee%2C+R.%22
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Talsma, Tessa M.W. (author), Hassanain, Omar (author), Happee, R. (author), de Winkel, K.N. (author)
Increasing levels of vehicle automation are envisioned to allow drivers to engage in other activities but are also likely to increase the incidence of Carsickness or Motion Sickness (MS). Ideally, MS is studied in a safe and controlled environment, such as a driving simulator. However, only few studies address the suitability of driving...
journal article 2023
document
de Winkel, K.N. (author), Talsma, Tessa M.W. (author), Happee, R. (author)
Driving simulators are an increasingly important tool to develop vehicle functionalities and to study driver or passenger responses. A major hindrance to the use and validity of such studies is Simulator Sickness (SS). Several studies have suggested a positive relation between improvements in simulator fidelity and the likelihood of sickness....
review 2022
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Grottoli, M. (author), Cleij, D. (author), Pretto, Paolo (author), Lemmens, Yves (author), Happee, R. (author), Bülthoff, Heinrich H. (author)
Optimization-based motion cueing algorithms based on model predictive control have been recently implemented to reproduce the motion of a car within the limited workspace of a driving simulator. These algorithms require a reference of the future vehicle motion to compute a prediction of the system response. Assumptions regarding the future...
journal article 2019
document
Cabrall, C.D.D. (author), Happee, R. (author), de Winter, J.C.F. (author)
Objective<br/>This review aimed to characterize tasks applied in driving research, in terms of instructions/conditions, signal types/rates, and component features in comparison to the classic vigilance literature.<br/><br/>Background<br/>Driver state monitoring is facing increased attention with evolving vehicle automation, and real-time...
journal article 2016
Searched for: author%3A%22Happee%2C+R.%22
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