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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), 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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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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