Bidirectional Consensus-Seeking Human-Automation Interactions in Traffic Environments — NSF Award to University of Wisconsin-Madis
Many vehicles today feature automation to assist or replace human drivers, but fully autonomous systems requiring minimal human input are still years away. As a result, human drivers and automated vehicles (AVs) frequently interact, leading to driver interventions. While most research focuses on over-reliance on AVs, t
| Award title | Bidirectional Consensus-Seeking Human-Automation Interactions in Traffic Environments |
|---|---|
| Award ID | 2532262 |
| Awardee | University of Wisconsin-Madison |
| City | MADISON |
| State | WI |
| Amount obligated | $700,000 |
| Principal investigator | Soyoung Ahn |
| Program | M3X - Mind, Machine, and Motor, Special Initiatives |
| Start date | 09/01/2025 |
| Abstract | Many vehicles today feature automation to assist or replace human drivers, but fully autonomous systems requiring minimal human input are still years away. As a result, human drivers and automated vehicles (AVs) frequently interact, leading to driver interventions. While most research focuses on over-reliance on AVs, this project supports research that attempts to address a different issue: driver-initiated takeovers, which occur when AV behavior does not match driver preferences. Although these |
| Source | NSF Awards |
$799/mo
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