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Two Methods to Bring Drivers Back Better into the Loop after Automated Driving at SAE Level 3.

, , , and . AutomotiveUI (Adjunct Proceedings), page 206-208. ACM, (2022)

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Driveability analysis of the european rail transport management system (ERTMS) - A systematic literature review., , , , and . J. Rail Transp. Plan. Manag., (2021)Human-Systems Integration for Driving Automation Systems: Holistic Approach for Driver Role Integration and Automation Allocation for European Mobility Needs.. HCI (32), volume 12212 of Lecture Notes in Computer Science, page 78-88. Springer, (2020)Two Methods to Bring Drivers Back Better into the Loop after Automated Driving at SAE Level 3., , , and . AutomotiveUI (Adjunct Proceedings), page 206-208. ACM, (2022)Fluid Interface Concept for Automated Driving., , and . HCI (32), volume 12212 of Lecture Notes in Computer Science, page 114-130. Springer, (2020)Toward Driver State Models that Explain Interindividual Variability of Distraction for Adaptive Automation., and . HCI (33), volume 12213 of Lecture Notes in Computer Science, page 15-28. Springer, (2020)Worker Characteristics moderate the Impact of Socio-technical Workplace Interventions on Job Satisfaction., , and . MuC (Workshopband), Gesellschaft für Informatik e.V., (2016)Smart Factories: Mitarbeiter-zentrierte Informationssysteme für die Zusammenarbeit der Zukunft., , , , , , , and . MuC (Workshopband), Gesellschaft für Informatik e.V., (2018)Evaluating Multiple Approaches to Impact Trust Formation: Labeling, Design, and Support Features., and . HCI (40), volume 1226 of Communications in Computer and Information Science, page 526-533. Springer, (2020)Konzeptionierung eines Frameworks zur Berücksichtigung der Arbeitszufriedenheit bei der Entwicklung von Assistenzsystemen in der Produktion., , and . MuC (Workshopband), Gesellschaft für Informatik e.V., (2018)How to Facilitate Explainability of AI for Increased User Trust: Results of a Study with a COVID-19 Risk Calculator., , , and . MIPRO, page 1076-1080. IEEE, (2021)