@inproceedings {pub3213,
	title = {{\textquotedblleft}Assistance-on-demand{\textquotedblright}: A speech-based assistance system for urban intersections},
	author = {Nadja Sch{\"o}mig AND Martin Ernst Heckmann AND Heiko Wersing AND Christian Maag AND Alexandra Neukum},
	year = {2016},
	month = {October},
	abstract = {We evaluated a system to support the driver in urban intersections (called {\textquotedblleft}Assistance on Demand{\textquotedblright} AoD system). The system is controlled via speech and supports the driver in monitoring and decision making by providing recommendations for suitable time gaps to enter the intersection. This speech-based control of the system allows the implementation of an {\quotedblbase}on-demand{\textquotedblleft}-concept where the driver can activate the assistance only if he desires support. 24 drivers took part in the study, performing several drives each. Every drive consisted of a set of intersections with varying traffic conditions. The drivers had to turn left at every intersection. In one drive, they used the AoD system in every situation they experienced (AoD_forced). During another drive, drivers were free to decide if they want to use the system or not (AoD_free). We compared the drivers{\textquoteright} subjective ratings of the drives as well as their gap choice and their monitoring behaviour with a manual drive. The results showed that the AoD system was highly accepted, decreased workload and facilitated monitoring of traffic. In addition, subjective acceptance - assessed by the usefulness rating in the AoD_forced drive - highly correlated with objective acceptance measured by the actual usage of the system in the AoD_free drive. This clearly justifies the {\textquotedblleft}on-demand{\textquotedblright}- concept.},
	publisher = {ACM},
	booktitle = {Adjunct Proc. AutomotiveUI},
	address = {Ann Arbor MI, USA}
}