Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Josef Krems"'
Autor:
Chen Peng, Stefanie Horn, Ruth Madigan, Claus Marberger, John D. Lee, Josef Krems, Matthias Beggiato, Richard Romano, Chongfeng Wei, Ellie Wooldridge, Riender Happee, Marjan Hagenzieker, Natasha Merat
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 24, Iss , Pp 101070- (2024)
The driving style of an automated vehicle (AV) needs to be comfortable to encourage the broad acceptance and use of this newly emerging transport mode. However, current research provides limited knowledge about what influences comfort, how this conce
Externí odkaz:
https://doaj.org/article/b4a00cb339294543be1ea849031f591f
Autor:
Wilbert Tabone, Joost de Winter, Claudia Ackermann, Jonas Bärgman, Martin Baumann, Shuchisnigdha Deb, Colleen Emmenegger, Azra Habibovic, Marjan Hagenzieker, P.A. Hancock, Riender Happee, Josef Krems, John D. Lee, Marieke Martens, Natasha Merat, Don Norman, Thomas B. Sheridan, Neville A. Stanton
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 9, Iss , Pp 100293- (2021)
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 pap
Externí odkaz:
https://doaj.org/article/958184dce79547fdb1f8fab2986ccc29
Autor:
Nadja Schömig, Katharina Wiedemann, Sebastian Hergeth, Yannick Forster, Jeffrey Muttart, Alexander Eriksson, David Mitropoulos-Rundus, Kevin Grove, Josef Krems, Andreas Keinath, Alexandra Neukum, Frederik Naujoks
Publikováno v:
Information, Vol 11, Iss 4, p 233 (2020)
Within a workshop on evaluation methods for automated vehicles (AVs) at the Driving Assessment 2019 symposium in Santa Fe; New Mexico, a heuristic evaluation methodology that aims at supporting the development of human–machine interfaces (HMIs) for
Externí odkaz:
https://doaj.org/article/c0498ddfb0804dbe816684ae75ce7ca6
Publikováno v:
Frontiers in Human Neuroscience, Vol 12 (2018)
As technological advances lead to rapid progress in driving automation, human-machine interaction (HMI) issues such as comfort in automated driving gain increasing attention. The research project KomfoPilot at Chemnitz University of Technology aims t
Externí odkaz:
https://doaj.org/article/88a6d6f478c14050b500f4b140b5012f
Publikováno v:
Information, Vol 10, Iss 4, p 143 (2019)
Automated driving systems (ADS) and a combination of these with advanced driver assistance systems (ADAS) will soon be available to a large consumer population. Apart from testing automated driving features and human–machine interfaces (HMI), the d
Externí odkaz:
https://doaj.org/article/00258e09584f416293349724672d82ff
Publikováno v:
Multimodal Technologies and Interaction, Vol 3, Iss 2, p 29 (2019)
The development of automated driving will profit from an agreed-upon methodology to evaluate human−machine interfaces. The present study examines the role of feedback on interaction performance provided directly to participants when interacting wit
Externí odkaz:
https://doaj.org/article/89d918e28e3a447780006714a69d1d5b
Publikováno v:
Human Interaction and Emerging Technologies (IHIET-AI 2023): Artificial Intelligence and Future Applications.
While autonomously parking e-cargo bikes offer the potential to enhance users’ comfort and time efficiency at sharing-stations, it is important to ensure a safe and useable interaction. External human machine interfaces (eHMIs) provide a possible s
Publikováno v:
Studies in Computational Intelligence ISBN: 9783030777258
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::863dc6b66c1c2c0f28c7c23e027dea38
https://doi.org/10.1007/978-3-030-77726-5_1
https://doi.org/10.1007/978-3-030-77726-5_1
Autor:
Bettina Kämpfe, Johanna Zimmermann, Marina Dreisbusch, Anna-Lena Grimm, Jan H. Schumann, Frederik Naujoks, Andreas Keinath, Josef Krems
Publikováno v:
Proceedings ISBN: 9783658324704
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::783f5417eb48865015a70c621a16c239
https://doi.org/10.1007/978-3-658-32471-1_16
https://doi.org/10.1007/978-3-658-32471-1_16
Publikováno v:
Human Factors in Transportation.
To support road safety and user acceptance, the interaction capabilities of automated vehicles (AVs) need to be intuitive and transparent. Therefore, established interaction capabilities of manual drivers need to be implemented in AVs. In manual driv