Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Jac Billington"'
Autor:
Yi-Shin Lin, Aravinda Ramakrishnan Srinivasan, Matteo Leonetti, Jac Billington, Gustav Markkula
Publikováno v:
IEEE Access, Vol 10, Pp 118888-118899 (2022)
Many models account for the traffic flow of road users, but few take the details of local interactions into consideration and how they could deteriorate into safety-critical situations. Building on an existing model of human sensorimotor control, we
Externí odkaz:
https://doaj.org/article/e254949297504dd9938035d8bedf0332
Publikováno v:
Frontiers in Nutrition, Vol 9 (2022)
BackgroundA combination of green tea, rhodiola and magnesium with B vitamins has previously been reported to significantly increase EEG resting state theta, attenuate subjective stress, anxiety and mood disturbance, and heighten subjective and autono
Externí odkaz:
https://doaj.org/article/ebd083e91e47477d8c1e4d310a8e55b6
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 7, p e1009096 (2021)
Evidence accumulation models provide a dominant account of human decision-making, and have been particularly successful at explaining behavioral and neural data in laboratory paradigms using abstract, stationary stimuli. It has been proposed, but wit
Externí odkaz:
https://doaj.org/article/b8bae550f1f849b7b7d2cbd965e76533
Autor:
Aravinda Ramakrishnan Srinivasan, Yi-Shin Lin, Morris Antonello, Anthony Knittel, Mohamed Hasan, Majd Hawasly, John Redford, Subramanian Ramamoorthy, Matteo Leonetti, Jac Billington, Richard Romano, Gustav Markkula
Publikováno v:
Srinivasan, A R, Lin, Y-S, Antonello, M, Knittel, A, Hasan, M, Hawasly, M, Redford, J, Ramamoorthy, S, Leonetti, M, Billington, J, Romano, R & Markkula, G 2023, ' Beyond RMSE: Do machine-learned models of road user interaction produce human-like behavior? ', IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 7, pp. 7166-7177 . https://doi.org/10.1109/TITS.2023.3263358
Autonomous vehicles use a variety of sensors and machine-learned models to predict the behavior of surrounding road users. Most of the machine-learned models in the literature focus on quantitative error metrics like the root mean square error (RMSE)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::494f6f79905cff46b9d597bef3e40565
https://doi.org/10.1109/tits.2023.3263358
https://doi.org/10.1109/tits.2023.3263358
Publikováno v:
Journal of Experimental Psychology: Human Perception and Performance. 48:64-76
Vehicle control by humans is possible because the central nervous system is capable of using visual information to produce complex sensorimotor actions. Drivers must monitor errors and initiate steering corrections of appropriate magnitude and timing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2f4b81751e176af0328a1c608a9883c
https://doi.org/10.1037/xhp0000970
https://doi.org/10.1037/xhp0000970
To steer a vehicle, humans must process incoming signals that provide information about their movement through the world. These signals are used to inform motor control responses that are appropriately timed and of the correct magnitude. However, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0772d94df4da1d0c9e87ace2dd986576
https://doi.org/10.31234/osf.io/2e7p4
https://doi.org/10.31234/osf.io/2e7p4
Autor:
Evangelia Portouli, Ruth Madigan, Anna Maria Schieben, André Dietrich, Natasha Merat, Gustav Markkula, Dimitris Nathanael, Yee Mun Lee, Jac Billington
Publikováno v:
Theoretical Issues in Ergonomics Science. 21:728-752
Rapid advances in technology for highly automated vehicles (HAVs) have raised concerns about coexistence of HAVs and human road users. Although there is a long tradition of research into human road user interactions, there is a lack of shared models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e91299f1d4f1c146dad848eb718618b
https://doi.org/10.1080/1463922x.2020.1736686
https://doi.org/10.1080/1463922x.2020.1736686
Autor:
Richard Romano, Gustav Markkula, Yi-Shin Lin, Aravinda Ramakrishnan Srinivasan, Matteo Leonetti, Mohamed Hasan, Jac Billington
Publikováno v:
ITSC
There is quickly growing literature on machine-learned models that predict human driving trajectories in road traffic. These models focus their learning on low-dimensional error metrics, for example average distance between model-generated and observ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d77db0ba36a17a62ed6fb481b2f9825
https://doi.org/10.1109/itsc48978.2021.9564791
https://doi.org/10.1109/itsc48978.2021.9564791
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 7, p e1009096 (2021)
PLoS Computational Biology
PLoS Computational Biology
Evidence accumulation models provide a dominant account of human decision-making, and have been particularly successful at explaining behavioral and neural data in laboratory paradigms using abstract, stationary stimuli. It has been proposed, but wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e19e21b395166c0b05f6c373bfc60360
https://doaj.org/article/b8bae550f1f849b7b7d2cbd965e76533
https://doaj.org/article/b8bae550f1f849b7b7d2cbd965e76533
Autor:
Shafiyyah Yacoobali, Priscilla Geraldine Wittkopf, Donna M. Lloyd, Jac Billington, Olivia Coe
Publikováno v:
Disability and Rehabilitation. 42:3722-3733
Purpose: The aim of this systematic review was to evaluate the effect of immersive and non-immersive interactive virtual reality on pain perception in patients with a clinical pain condition.Methods: The following databases were searched from incepti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee92dc09018329b45a401acff1487d00
https://doi.org/10.1080/09638288.2019.1610803
https://doi.org/10.1080/09638288.2019.1610803