Projektbeschreibung
Public acceptance of automated driving critically relies on the perceived safety benefits of this technology as well as its potential to allow passengers to engage in non-driving related tasks (NDRTs). It is unclear, however, under which conditions passengers in an automated vehicle can comfortably and efficiently engage in NDRTs. Likewise, there is still a knowledge gap as to which variables might increase trust in an automated vehicle. Our lab will approach these interdisciplinary research questions in cooperation with various partners, including the Technische Hochschule Ingolstadt (Prof. Dr. Andreas Riener), the Ingolstadt School of Management (Prof. Dr. Jens Hogreve), and the AUDI AG (project leader SAVe). For example, using physiological measures (e.g., EEG), we will conduct experiments in a simulated driving environment to establish the role of motion sickness for engaging in NDRTs during automated driving. This and other studies aim to develop novel methods to measure social acceptance of automated driving and to derive implications for the design of automated vehicles.
Angaben zum Forschungsprojekt
Beginn des Projekts: | 2018 |
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Ende des Projekts: | 2020 |
Projektstatus: | abgeschlossen |
Projektleitung: | Steinhauser, Prof. Dr. Marco Riener, Prof. Dr. Andreas Hogreve, Prof. Dr. Jens |
Lehrstuhl/Institution: |
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Finanzierung des Projekts: | Sonstiges |
Geldgeber: | Bundesministerium für Verkehr und digitale Infrastruktur (BMVI) |
Themengebiete: | C Philosophie; Psychologie > CP Allgemeine Psychologie |
Projekttyp: | Angewandte Forschung |
Projekt-ID: | 2576 |
Letzte Änderung: 20. Jul 2023 03:35
URL zu dieser Anzeige: https://fordoc.ku.de/id/eprint/2576/