Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Daniela Gräfing"'
Autor:
Tim Bayer, Daniela Gräfing, Stefanie Kerbstadt, Dominik Pengel, Kevin Eickhoff, Lars Englert, Matthias Wollenhaupt
Publikováno v:
New Journal of Physics, Vol 21, Iss 3, p 033001 (2019)
We combine bichromatic polarization pulse shaping with photoelectron imaging tomography for time-resolved spatial imaging of ultrafast spin–orbit wave packet (SOWP) dynamics in atoms. Polarization-shaped two-color pump-probe sequences are generated
Externí odkaz:
https://doaj.org/article/170558061f6445939bc79512c51a7898
Autor:
Anna-Antonia Pape, Daniela Gräfing, Alexander Trende, Klas Ihme, HuuChuong La, Carsten Bahnmuller, Uwe Drewitz, Dario Niermann, Tobias Fleischer
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030505226
HCI (32)
HCI (32)
The acceptance and hence the spread of automated and connected driving (ACD) systems is largely determined by the degree of subjective un-/certainty that users feel when interacting with automated vehicles. User acceptance is negatively influenced in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adec71d6762ebb194b70f8fda38034d2
https://doi.org/10.1007/978-3-030-50523-3_2
https://doi.org/10.1007/978-3-030-50523-3_2
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030505226
HCI (32)
HCI (32)
With the role change from driver to passenger provoked by driving automation, human factors such as a pleasant driving experience are considered important for a broad system acceptance and usage. However, allocating vehicle control to an automated sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6176726273f3a62c62917c1308590783
https://doi.org/10.1007/978-3-030-50523-3_3
https://doi.org/10.1007/978-3-030-50523-3_3
Publikováno v:
AutomotiveUI (adjunct)
Adapting the driving style of autonomous vehicles to fit the user's preferences may reduce uncomfortable user experiences. This can support the adoption process of the technology. We present ongoing research about adaptive customizable user profiles