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The HADRIAN novel human–machine interface prototype for automated driving: safety and impact assessment
by
Moertl, Peter
, Trösterer, Sandra
, Marx, Cyril
, Yannis, George
, Kallidoni, Marianthi
, Katrakazas, Christos
, Sekadakis, Marios
in
Automated driving
/ Automation
/ Automotive Engineering
/ Autonomous vehicles
/ Civil Engineering
/ Data envelopment analysis
/ Data Envelopment Analysis (DEA)
/ Driving ability
/ Engineering
/ Human performance
/ Human–Machine Interfaces (HMI)
/ Impact analysis
/ Key Performance Indicators (KPIs)
/ Original Paper
/ Performance evaluation
/ Prototypes
/ Regional/Spatial Science
/ Research facilities
/ Safety
/ Safety and impact assessment
/ TRA 2024 Dublin - Transport Transitions (Highlights of the 2024 Transport Research Arena conference)
/ Transportation
2024
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The HADRIAN novel human–machine interface prototype for automated driving: safety and impact assessment
by
Moertl, Peter
, Trösterer, Sandra
, Marx, Cyril
, Yannis, George
, Kallidoni, Marianthi
, Katrakazas, Christos
, Sekadakis, Marios
in
Automated driving
/ Automation
/ Automotive Engineering
/ Autonomous vehicles
/ Civil Engineering
/ Data envelopment analysis
/ Data Envelopment Analysis (DEA)
/ Driving ability
/ Engineering
/ Human performance
/ Human–Machine Interfaces (HMI)
/ Impact analysis
/ Key Performance Indicators (KPIs)
/ Original Paper
/ Performance evaluation
/ Prototypes
/ Regional/Spatial Science
/ Research facilities
/ Safety
/ Safety and impact assessment
/ TRA 2024 Dublin - Transport Transitions (Highlights of the 2024 Transport Research Arena conference)
/ Transportation
2024
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The HADRIAN novel human–machine interface prototype for automated driving: safety and impact assessment
by
Moertl, Peter
, Trösterer, Sandra
, Marx, Cyril
, Yannis, George
, Kallidoni, Marianthi
, Katrakazas, Christos
, Sekadakis, Marios
in
Automated driving
/ Automation
/ Automotive Engineering
/ Autonomous vehicles
/ Civil Engineering
/ Data envelopment analysis
/ Data Envelopment Analysis (DEA)
/ Driving ability
/ Engineering
/ Human performance
/ Human–Machine Interfaces (HMI)
/ Impact analysis
/ Key Performance Indicators (KPIs)
/ Original Paper
/ Performance evaluation
/ Prototypes
/ Regional/Spatial Science
/ Research facilities
/ Safety
/ Safety and impact assessment
/ TRA 2024 Dublin - Transport Transitions (Highlights of the 2024 Transport Research Arena conference)
/ Transportation
2024
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The HADRIAN novel human–machine interface prototype for automated driving: safety and impact assessment
Journal Article
The HADRIAN novel human–machine interface prototype for automated driving: safety and impact assessment
2024
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Overview
The current paper was performed within the HADRIAN project and focuses on exploring the effects of innovative Human–Machine Interface (HMI) prototypes on safety, driving performance, and driver perceptions. Employing driving simulator experiments and questionnaires, this study investigates whether HADRIAN innovative HMI enhances safety and receives positive evaluations from drivers. Specifically, the research centers on a driving simulator experiment that evaluates novel HMI prototypes designed to improve automated driving at SAE Levels 2 or 3. To facilitate HMI assessment, a tailored safety and impact assessment methodology was developed using unique Key Performance Indicators (KPIs). To benchmark and generate a total score for the HADRIAN HMI, data envelopment analysis was deployed based on the aforementioned KPIs. The findings shed light on the influence of HADRIAN HMI innovations on safety and perceived impact when compared to a baseline “state-of-the-art” HMI. Subsequently, a comprehensive discussion unfolds, highlighting the key KPIs that contributed significantly to the safety and perceived impact scores. This method and its outcomes can serve as a valuable resource for other HMI stakeholders, enabling them to employ similar human-centered assessment methodologies to assess the safety and perceived impact of potential HMI configurations.
Publisher
Springer International Publishing,Springer Nature B.V,SpringerOpen
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