This paper proposes a mediator-agent framework for human-vehicle collaboration that models both driver state and vehicle intent. It is relevant to safety work because it targets coordination failures caused by poor shared awareness, though the abstract suggests an applied systems contribution rather than a broad AI safety advance.
arXiv:2605.01507v1 Announce Type: new Abstract: Prior studies report that partial driving automation can increase the cognitive demands on human drivers. This effect largely arises from human drivers' lack of transparent insight into the vehicle's intentions and decision logic, as well as from automated systems' limited awareness of the driver's dynamic state and preferences. This bidirectional misalignment undermines shared situational awareness and exacerbates coordination failures in…