- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1875-4805
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Real-Time Estimation of Drivers’ Trust in Automated Driving Systems ; day:24 ; month:9 ; year:2020 ; pages:1-17
International Journal of Social Robotics ; (24.9.2020), 1-17
- Creator
-
Azevedo-Sa, Hebert
Jayaraman, Suresh Kumaar
Esterwood, Connor T.
Yang, X. Jessie
Robert, Lionel
Tilbury, Dawn M.
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s12369-020-00694-1
- URN
-
urn:nbn:de:101:1-2020111223371864157503
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 15.08.2025, 7:26 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Azevedo-Sa, Hebert
- Jayaraman, Suresh Kumaar
- Esterwood, Connor T.
- Yang, X. Jessie
- Robert, Lionel
- Tilbury, Dawn M.
- SpringerLink (Online service)
Other Objects (12)
Personality Openness Predicts Driver Trust in Automated Driving
Trust in highly automated driving
Driver’s non-driving postures in automated driving: Modeling, assessment, and countermeasure
Modeling driver-vehicle interaction in automated driving
Driver-Vehicle Interaction in Automated Driving : Overcoming System Boundaries via Driver Involvement
On investigating drivers’ attention allocation during partially-automated driving
Drivers use active gaze to monitor waypoints during automated driving
Automation Trust in Conditional Automated Driving Systems: Approaches to Operationalization and Design : Automation Trust in ConditionalAutomated Driving Systems: Approachesto Operationalization and Design
Drivers’ Individual Design Preferences of Takeover Requests in Highly Automated Driving
Exploring Driver Responses to Authoritative Control Interventions in Highly Automated Driving
Comfort in Automated Driving : Analysis of Driving Style Preference in Automated Driving
Trust in Technology as a Safety Aspect in Highly Automated Driving
Personality Openness Predicts Driver Trust in Automated Driving
Trust in highly automated driving
Driver’s non-driving postures in automated driving: Modeling, assessment, and countermeasure
Modeling driver-vehicle interaction in automated driving
Driver-Vehicle Interaction in Automated Driving : Overcoming System Boundaries via Driver Involvement
On investigating drivers’ attention allocation during partially-automated driving
Drivers use active gaze to monitor waypoints during automated driving
Automation Trust in Conditional Automated Driving Systems: Approaches to Operationalization and Design : Automation Trust in ConditionalAutomated Driving Systems: Approachesto Operationalization and Design
Drivers’ Individual Design Preferences of Takeover Requests in Highly Automated Driving
Exploring Driver Responses to Authoritative Control Interventions in Highly Automated Driving
Comfort in Automated Driving : Analysis of Driving Style Preference in Automated Driving
Trust in Technology as a Safety Aspect in Highly Automated Driving
Personality Openness Predicts Driver Trust in Automated Driving
Trust in highly automated driving
Driver’s non-driving postures in automated driving: Modeling, assessment, and countermeasure
Modeling driver-vehicle interaction in automated driving
Driver-Vehicle Interaction in Automated Driving : Overcoming System Boundaries via Driver Involvement
On investigating drivers’ attention allocation during partially-automated driving
Drivers use active gaze to monitor waypoints during automated driving
Automation Trust in Conditional Automated Driving Systems: Approaches to Operationalization and Design : Automation Trust in ConditionalAutomated Driving Systems: Approachesto Operationalization and Design
Drivers’ Individual Design Preferences of Takeover Requests in Highly Automated Driving
Exploring Driver Responses to Authoritative Control Interventions in Highly Automated Driving
Comfort in Automated Driving : Analysis of Driving Style Preference in Automated Driving