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Matthias Beggiato
Matthias Beggiato
Wissenschaftlicher Mitarbeiter / Researcher, TU Chemnitz
Bestätigte E-Mail-Adresse bei psychologie.tu-chemnitz.de
Titel
Zitiert von
Zitiert von
Jahr
The evolution of mental model, trust and acceptance of adaptive cruise control in relation to initial information
M Beggiato, JF Krems
Transportation research part F: traffic psychology and behaviour 18, 47-57, 2013
4122013
An experimental study to investigate design and assessment criteria: What is important for communication between pedestrians and automated vehicles?
C Ackermann, M Beggiato, S Schubert, JF Krems
Applied ergonomics 75, 272-282, 2019
2522019
Driving comfort, enjoyment and acceptance of automated driving–effects of drivers’ age and driving style familiarity
F Hartwich, M Beggiato, JF Krems
Ergonomics 61 (8), 1017-1032, 2018
2512018
Learning and development of trust, acceptance and the mental model of ACC. A longitudinal on-road study
M Beggiato, M Pereira, T Petzoldt, J Krems
Transportation research part F: traffic psychology and behaviour 35, 75-84, 2015
2362015
The first impression counts–A combined driving simulator and test track study on the development of trust and acceptance of highly automated driving
F Hartwich, C Witzlack, M Beggiato, JF Krems
Transportation research part F: traffic psychology and behaviour 65, 522-535, 2019
1582019
What would drivers like to know during automated driving? Information needs at different levels of automation.
M Beggiato, F Hartwich, K Schleinitz, J Krems, I Othersen, ...
http://dx.doi.org/10.13140/RG.2.1.2462.6007; https://mediatum.ub.tum.de/doc …, 2015
1272015
Deceleration parameters and their applicability as informal communication signal between pedestrians and automated vehicles
C Ackermann, M Beggiato, LF Bluhm, A Löw, JF Krems
Transportation research part F: traffic psychology and behaviour 62, 757-768, 2019
1202019
Learning to use automation: Behavioral changes in interaction with automated driving systems
Y Forster, S Hergeth, F Naujoks, M Beggiato, JF Krems, A Keinath
Transportation research part F: traffic psychology and behaviour 62, 599-614, 2019
822019
A mathematical model for predicting lane changes using the steering wheel angle
K Schmidt, M Beggiato, KH Hoffmann, JF Krems
Journal of safety research 49, 85. e1-90, 2014
812014
Adaptive fuzzy pattern classification for the online detection of driver lane change intention
F Bocklisch, SF Bocklisch, M Beggiato, JF Krems
Neurocomputing 262, 148-158, 2017
752017
Physiological correlates of discomfort in automated driving
M Beggiato, F Hartwich, J Krems
Transportation research part F: traffic psychology and behaviour 66, 445-458, 2019
712019
The right moment for braking as informal communication signal between automated vehicles and pedestrians in crossing situations
M Beggiato, C Witzlack, S Springer, J Krems
Advances in Human Aspects of Transportation: Proceedings of the AHFE 2017 …, 2018
692018
How should automated vehicles communicate?–Effects of a light-based communication approach in a Wizard-of-Oz study
AC Hensch, I Neumann, M Beggiato, J Halama, JF Krems
Advances in Human Factors of Transportation: Proceedings of the AHFE 2019 …, 2020
682020
Using smartbands, pupillometry and body motion to detect discomfort in automated driving
M Beggiato, F Hartwich, J Krems
Frontiers in human neuroscience 12, 338, 2018
632018
Comfort or not? Automated driving style and user characteristics causing human discomfort in automated driving
A Dettmann, F Hartwich, P Roßner, M Beggiato, K Felbel, J Krems, ...
International Journal of Human–Computer Interaction 37 (4), 331-339, 2021
562021
Gap Acceptance and Time-To-Arrival Estimates as Basis for Informal Communication between Pedestrians and Vehicles
M Beggiato, C Witzlack, JF Krems
AutomotiveUI '17, doi:10.1145/3122986.3122995, 50-57, 2017
552017
Effects of a light-based communication approach as an external HMI for Automated Vehicles--a Wizard-of-Oz Study.
AC Hensch, I Neumann, M Beggiato, J Halama, JF Krems
Transactions on Transport Sciences 10 (2), 2019
542019
Vehicle Movement and its Potential as Implicit Communication Signal for Pedestrians and Automated Vehicles
C Ackermann, M Beggiato, LF Bluhm, J Krems
6th HUMANIST Conference, 86-92, 2018
402018
Learning and development of mental models during interactions with driving automation: A simulator study
Y Forster, S Hergeth, F Naujoks, M Beggiato, JF Krems, A Keinath
Driving Assessment Conference 10 (2019), 2019
392019
Drive Me Comfortable. Customized Automated Driving Styles for Younger and Older Drivers.
F Hartwich, M Beggiato, A Dettmann, J Krems
8. VDI-Tagung: Der Fahrer im 21. Jahrhundert. 2264, 271-283, 2015
36*2015
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