@inproceedings {pub3962,
	title = {CORA, a Prototype for a Cooperative Speech-Based On-Demand Intersection Assistant},
	author = {Martin Ernst Heckmann AND Dennis Orth AND Nico Andreas Steinhardt AND Bram Bolder AND Mark Dunn AND Dorothea Kolossa},
	year = {2019},
	month = {September},
	abstract = {Previously, we proposed an on-demand speech-based communication concept for the interaction between the driver and his or her vehicle.
Using this concept, drivers can flexibly activate the system via speech whenever they want to receive assistance.
The interaction solely relies on speech; no visual information is displayed.
We could show via driver simulator studies that an instantiation of this concept as an intersection assistant, supporting the driver in turning left, was well received by drivers and preferred to an alternative, vision-based, system. 
In this paper, we present a prototype implementation of this speech-based assistant and give details on how we adapted it to the intricacy of urban traffic as well as to the shortcomings of current sensor technology in establishing an adequate environment perception.
The attached video gives an impression of the interaction between the driver and the system when cooperatively turning left from a subordinate road into crossing traffic.},
	publisher = {ACM},
	booktitle = {AutomotiveUI {\textquoteright}19 Adjunct },
	city = {Utrecht}
}