Abstract | ||
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There is a growing need to study the interactions between drivers and their increasingly autonomous vehicles. This paper describes a method of using a low-cost, portable, and versatile driver interaction system in commercial passenger vehicles to enable on-road partial and fully autonomous driving interaction studies. By conducting on-road Wizard-of-Oz studies in naturalistic settings, we can explore a range of driving conditions and scenarios far beyond what can be conducted in laboratory simulator environments. The Marionette system uses off-the-shelf components to cre- ate bidirectional communication between the driving controls of a Wizard-of-Oz vehicle operator and a driving study participant. It signals to the study participant what the car is doing and enables researchers to study participant intervention in driving activity. Mar- ionette is designed to be easily replicated for researchers studying partially autonomous driving interaction. This paper describes the design and evaluation of this system. |
Year | DOI | Venue |
---|---|---|
2017 | 10.1145/2909824.3020256 | HRI |
Keywords | Field | DocType |
Autonomous Vehicle Interfaces,Methodology,On-Road simulation,Marionette,Steering Wheel | Simulation,Computer science,Steering wheel,Automation,Human–computer interaction,Bidirectional communication,Wizard of oz,Study Participant | Conference |
ISSN | ISBN | Citations |
2167-2121 | 978-1-4503-4336-7 | 4 |
PageRank | References | Authors |
0.43 | 12 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Peter Wang | 1 | 4 | 0.43 |
Srinath Sibi | 2 | 29 | 6.07 |
Brian K. Mok | 3 | 100 | 16.10 |
Wendy Ju | 4 | 435 | 55.27 |