357 results on '"Jipp, Meike"'
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2. Measuring and Describing Cooperation Between Road Users—Results from CoMove
3. From Visions to Reality: Investigating the Interplay of Vehicle Kinematics and Light-band eHMI in a Real Vehicle Study
4. Influence of cognitive processes on driver decision-making in dilemma zone
5. Fifty shades of frustration: Intra- and interindividual variances in expressing frustration
6. Moderne Mobilitätsformen und die Bedürfnisse der Gesellschaft
7. Steuern wir oder werden wir gesteuert? Chancen und Risiken von Mensch-Technik-Interaktion
8. Motivation und Hintergrund
9. Der Mensch im System
10. Empirische Evidenz
11. Vergleich technischer zu menschlicher Leistungsfähigkeit
12. Qualitätskriterien der Eigenschaftsabsicherung durch empirische Evidenz
13. One Solution Fits All? Evaluating Different Communication Strategies of a Light-based External Human-Machine Interface for Differently Sized Automated Vehicles from a Pedestrian’s Perspective
14. Einleitende Worte zur Gestaltung des Zusammenwirkens
15. Mensch-Technik-Kooperation und Fahrzeuginnenraum
16. Evaluation of two short-term stress interventions in the context of mobility
17. Subjektive Sicherheit zur Steigerung der Akzeptanz des automatisierten und vernetzten Fahrens
18. Task-induced fatigue when implementing high grades of railway automation
19. Putting People Center Stage – To Drive and to be Driven
20. Encounters Between Drivers with and Without Cooperative Intelligent Transport Systems
21. Frustration Recognition Using Spatio Temporal Data: A Novel Dataset and GCN Model to Recognize In-Vehicle Frustration
22. Fahrtests unter Realbedingungen
23. Should drivers be informed about the equipment of drivers with green light optimal speed advisory (GLOSA)?
24. Erratum zu: Subjektive Sicherheit zur Steigerung der Akzeptanz des automatisierten und vernetzten Fahrens
25. Elektrik/Elektronik/Software
26. Why drivers are frustrated: results from a diary study and focus groups
27. List of Contributors
28. Does surrounding traffic benefit from an assisted driver with traffic light assistance system?
29. Does assisted driving behavior lead to safety-critical encounters with unequipped vehicles’ drivers?
30. Fifty shades of frustration: Intra- and interindividual variances in expressing frustration
31. Assessing Driver Frustration Using Functional Near-Infrared Spectroscopy (fNIRS)
32. Estimating Cognitive Workload Levels While Driving Using Functional Near-Infrared Spectroscopy (fNIRS)
33. F rustration R ecognition U sing S patio T emporal Data: A Novel Dataset and GCN Model to Recognize In-Vehicle Frustration.
34. The Novelty Appraisal of the Feeling of Risk in Vehicles
35. Effects of expertise for automatic train operations
36. Frustration Recognition Using Spatio Temporal Data: A Novel Dataset and GCN Model to Recognize In-Vehicle Frustration
37. The novelty appraisal of the feeling of risk in vehicles
38. Task and domain modelling and validation for dynamic situations
39. Encounters Between Drivers with and Without Cooperative Intelligent Transport Systems
40. Toward a Holistic Communication Approach to an Automated Vehicle's Communication With Pedestrians: Combining Vehicle Kinematics With External Human-Machine Interfaces for Differently Sized Automated Vehicles
41. Investigating Pedestrians’ Interactions with Automated Buses: How Do External and Dynamic HMIs Affect Trust?
42. How to Communicate with Pedestrians: Exploration of the Interplay of Dynamic HMI and External HMI for Different Sized Automated Vehicles
43. Validating Task and Domain Models for Traffic Situations
44. Toward a Holistic Communication Approach to an Automated Vehicle’s Communication With Pedestrians: Combining Vehicle Kinematics With External Human-Machine Interfaces for Differently Sized Automated Vehicles
45. Moderne Mobilität: Von der Gesellschaft zur Technologie
46. Moderne Mobilität und deren Einfluss auf die Verkehrssicherheit
47. Combining Vehicle Braking Behavior with an External Human-Machine Interface towards a Holistic Communication Strategy for Automated Buses
48. Cities as Innovation Drivers for Human-Centered and Climate-Friendly Mobility
49. User Needs Follow Technological Developments or Vice Versa? Acceptance of Automated Driving
50. Die Stadt von morgen. Herausforderungen und Lösungsansätze für eine nachhaltige urbane Mobilität
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