Using Human-Machine Interfaces To Convey Feedback in Automated Vehicles

Shull, Emily; Gaspar, John G; Schmitt, Rose; Vecera, Shaun

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Using Human-Machine Interfaces To Convey Feedback in Automated Vehicles

2019-10-01
By Shull, Emily ; Gaspar, John G ; Schmitt, Rose

File Language:

English

Details

Creators:

Shull, Emily ; Gaspar, John G ; Schmitt, Rose ; Vecera, Shaun
Corporate Creators:

Safety Research Using Simulation (SAFER-SIM) University Transportation Center ; University of Iowa
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; Aisin Technical Center of America
Subject/TRT Terms:
Resource Type:

Research Paper
Geographical Coverage:

United States
Corporate Publisher:

Safety Research Using Simulation (SAFER-SIM) University Transportation Center
Abstract:

The next decade will see a rapid increase in the prevalence of partial and conditional vehicle automation, specifically SAE Levels 2 and 3. These automated systems are designed for specific operational conditions, such as driving on mapped highways with clear lane markings, and, within these defined contexts, can control both the speed and the lateral lane position of the vehicle. In these levels of automation, the driver is expected to act as the fallback in situations that exceed the operational capacity of the automation or during unexpected automation failures. A human-machine interface (HMI) that can both keep the driver aware of the driving situation and vehicle state and effectively ease control transitions is therefore very important. This study investigated how aspects of the vehicle HMI design, specifically feedback provided about the confidence of the automation and presentation of non-driving secondary tasks, influenced aspects of the takeover process. The results demonstrate the complexity of re-engaging a disengaged driver in the context of partially automated vehicles.
Format:

PDF
Funding:

69A3551747131
Download URL:

https://rosap.ntl.bts.gov/view/dot/62006/dot_62006_DS1.pdf
File Type:

[PDF - 1.05 MB]
Collection(s):

Autonomous Vehicles ; University Transportation Centers
Main Document Checksum:

urn:sha-512:7367c43e1ee8beb909e4736792dc982c67a3ee4bf66a85bdd727144ae63153f4947e01f5ca7b3a66d447a4a297e4fd4b248ad903d9f2e234ad1a955db8bd4aa4

File Language:

English

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