Matthias Beggiato

According to our database, Matthias Beggiato authored at least 15 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Principles for External Human-Machine Interfaces.

Marc Wilbrink, Stephan Cieler, Sebastian L. Weiß, Matthias Beggiato, Philip Joisten, Alexander Feierle, Michael Oehl

Inf., 2023

2022

Lane Change Prediction With an Echo State Network and Recurrent Neural Network in the Urban Area.

Karoline Griesbach, Matthias Beggiato, Karl Heinz Hoffmann

IEEE Trans. Intell. Transp. Syst., 2022

Predicting Individual Discomfort in Autonomous Driving.

Sara Todorovikj, Felix Kettner, Daniel Brand, Matthias Beggiato, Marco Ragni

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Should I wait or should I go? - Deciphering Implicit Communication Cues for Cooperative Interactions in Left-Turn Scenarios.

Ann-Christin Hensch, Matthias Beggiato, Josef F. Krems

Proceedings of the IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2022

2021

Comfort or Not? Automated Driving Style and User Characteristics Causing Human Discomfort in Automated Driving.

André Dettmann, Franziska Hartwich, Patrick Rossner, Matthias Beggiato, Konstantin Felbel, Josef Krems, Angelika C. Bullinger

Int. J. Hum. Comput. Interact., 2021

The Effects of eHMI Failures on Elderly Participants' Assessment of Automated Vehicle Communication Signals.

Ann-Christin Hensch, Isabel Kreißig, Matthias Beggiato, Josef F. Krems

Proceedings of the Human Interaction, Emerging Technologies and Future Systems V, 2021

Different Types, Different Speeds - The Effect of Interaction Partners and Encountering Speeds at Intersections on Drivers' Gap Acceptance as an Implicit Communication Signal in Automated Driving.

Ann-Christin Hensch, Matthias Beggiato, Maike X. Schömann, Josef F. Krems

Proceedings of the HCI in Mobility, Transport, and Automotive Systems, 2021

Predicting Lane Changes by Identifying Sequence Patterns of Implicit Communication Cues.

Ann-Christin Hensch, Matthias Beggiato, Josef F. Krems

Proceedings of the Advances in Human Aspects of Transportation, 2021

2020

Facial Expressions as Indicator for Discomfort in Automated Driving.

Matthias Beggiato, Nadine Rauh, Josef Krems

Proceedings of the Intelligent Human Systems Integration 2020, 2020

2019

Lane Change Prediction Using an Echo State Network.

Karoline Griesbach, Karl Heinz Hoffmann, Matthias Beggiato

Proceedings of the Intelligent Human Systems Integration 2019, 2019

How Should Automated Vehicles Communicate? - Effects of a Light-Based Communication Approach in a Wizard-of-Oz Study.

Ann-Christin Hensch, Isabel Neumann, Matthias Beggiato, Josephine Halama, Josef F. Krems

Proceedings of the Advances in Human Factors of Transportation, 2019

Supporting Older Drivers' Visual Processing of Intersections - Effects of Providing Prior Information.

Matthias Beggiato, Franziska Hartwich, Tibor Petzoldt, Josef Krems

Proceedings of the Advances in Human Factors of Transportation, 2019

2017

Adaptive fuzzy pattern classification for the online detection of driver lane change intention.

Franziska Bocklisch, Steffen F. Bocklisch, Matthias Beggiato, Josef F. Krems

Neurocomputing, 2017

Der Einfluss von Fahrermerkmalen auf den erlebten Fahrkomfort imhochautomatisierten Fahren.

Matthias Beggiato, Franziska Hartwich, Josef Krems

Autom., 2017

Gap Acceptance and Time-To-Arrival Estimates as Basis for Informal Communication between Pedestrians and Vehicles.

Matthias Beggiato, Claudia Witzlack, Josef F. Krems

Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2017