Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Qiuyang Tang"'
Autor:
Peizhi Wang, Wenbo Li, Chen Sun, Dongpu Cao, Guanzhong Zeng, Bingbing Zhang, Gang Guo, Qiuyang Tang
Publikováno v:
IEEE Intelligent Transportation Systems Magazine. 14:10-28
Publikováno v:
2022 6th CAA International Conference on Vehicular Control and Intelligence (CVCI).
Publikováno v:
Investigative Opthalmology & Visual Science. 64:4
Publikováno v:
HCI in Mobility, Transport, and Automotive Systems ISBN: 9783031049866
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e3940a887a5b377f9bcc7f953e1cb44
https://doi.org/10.1007/978-3-031-04987-3_19
https://doi.org/10.1007/978-3-031-04987-3_19
Publikováno v:
International Journal of Mobile Communications. 1:1
Publikováno v:
2021 5th CAA International Conference on Vehicular Control and Intelligence (CVCI).
Publikováno v:
HCI International 2019 – Late Breaking Papers ISBN: 9783030300326
HCI (LBP)
HCI (LBP)
The vehicle has been gradually evolving from a traditional delivery vehicle into a complex human-computer interaction system. In view of the increasingly diverse human-computer interaction systems in today’s automobiles, the design of HMI (human-ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c3d50c01cadc6dd47e0da2ef19de030
https://doi.org/10.1007/978-3-030-30033-3_9
https://doi.org/10.1007/978-3-030-30033-3_9
Autor:
Gang Guo, Qiuyang Tang
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030220143
HCI (28)
HCI (28)
This driving simulator study was conducted to investigate the drivers’ eye movement pattern in automated and manual driving condition, and examine which ocular metrics are effective to evaluate the vigilance (response task) of drivers when they in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a37cff75c5383322708105a910a0114
https://doi.org/10.1007/978-3-030-22015-0_43
https://doi.org/10.1007/978-3-030-22015-0_43
Publikováno v:
International Journal of Vehicle Performance. 7:266
Drivers in conditionally automated vehicles have been found to become fatigued easier than manual drivers, and the risk of accidents increased due to the decrease in vigilance. Olfactory stimulation is a promising method to counterbalance fatigue and
Publikováno v:
Human Factors: The Journal of the Human Factors and Ergonomics Society. :001872081989313
Objective This study aims to quantify the impact of olfactory stimulation and takeover modality on the performance of takeovers in conditionally automated driving. Background Takeover requests are important for the safety of automated vehicles. The r