Fahrerassistenzsysteme und Automatisiertes Fahren

Bengler, Klaus; Dietmayer, Klaus; Eckstein, Lutz; Stiller, Christoph; Winner, Hermann

doi:10.1007/978-3-658-25557-2_8

Cited by 4 publications

(1 citation statement)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Reviews on driver-vehicle collaboration can be found in Xing et al (2021), Marcano et al (2020), Bengler et al (2014), and Michalke and Kastner (2011). Works focus on key factors like human trust and situation awareness, which influence the design of the system.…”

Section: Vehicle Intelligence With Distributed Cognitionmentioning

confidence: 99%

Distributed cognition for collaboration between human drivers and self-driving cars

Plebe

Papini

Cherubini

et al. 2022

Front. Artif. Intell.

View full text Add to dashboard Cite

This paper focuses on the collaboration between human drivers and intelligent vehicles. We propose a collaboration mechanism grounded on the concept of distributed cognition. With distributed cognition, intelligence does not lie just in the single entity but also in the interaction with the other cognitive components in a system. We apply this idea to vehicle intelligence, proposing a system distributed into two cognitive entities—the human and the autonomous agent—that together contribute to drive the vehicle. This account of vehicle intelligence differs from the mainstream research effort on highly autonomous cars. The proposed mechanism follows one of the paradigm derived from distributed cognition, the rider-horse metaphor: just like the rider communicates their intention to the horse through the reins, the human influences the agent using the pedals and the steering wheel. We use a driving simulator to demonstrate the collaboration in action, showing how the human can communicate and interact with the agent in various ways with safe outcomes.

show abstract