TY - GEN
T1 - Reproducibility of Driving Profiles - Application of the Wizard of Oz Method for Vehicle Pedestrian Interaction
AU - Fuest, T.
AU - Michalowski, L.
AU - Schmidt, E.
AU - Bengler, K.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - Wizard of Oz (WoZ) studies are a method used to examine pedestrians' understanding of the different driving behaviors of automated vehicles (AV). In this WoZ study, a human driver, hidden behind a seat cover, repeatedly followed predefined trajectories. First, we asked the participants to rate different AV driving behaviors from a pedestrian's perspective. Then we examined the performance of the human driver in following the trajectories. The results showed that 98 % of pedestrians understood the intentions of an AV by judging the driving behavior, if the trajectory met certain criteria. Ambiguous driving profiles decreased the recognition rate to 26 %. Furthermore, the driver followed diverse trajectories of differing qualities. The results also demonstrated that more complex trajectories were harder to follow. Reducing speed until reaching the exact point of a complete standstill appeared to be problematic. In conclusion, the findings suggest that WoZ studies are a useful way to evaluate large differences in trajectories, but are not suited to evaluating slight speed or acceleration differences.
AB - Wizard of Oz (WoZ) studies are a method used to examine pedestrians' understanding of the different driving behaviors of automated vehicles (AV). In this WoZ study, a human driver, hidden behind a seat cover, repeatedly followed predefined trajectories. First, we asked the participants to rate different AV driving behaviors from a pedestrian's perspective. Then we examined the performance of the human driver in following the trajectories. The results showed that 98 % of pedestrians understood the intentions of an AV by judging the driving behavior, if the trajectory met certain criteria. Ambiguous driving profiles decreased the recognition rate to 26 %. Furthermore, the driver followed diverse trajectories of differing qualities. The results also demonstrated that more complex trajectories were harder to follow. Reducing speed until reaching the exact point of a complete standstill appeared to be problematic. In conclusion, the findings suggest that WoZ studies are a useful way to evaluate large differences in trajectories, but are not suited to evaluating slight speed or acceleration differences.
UR - http://www.scopus.com/inward/record.url?scp=85076808065&partnerID=8YFLogxK
U2 - 10.1109/ITSC.2019.8917395
DO - 10.1109/ITSC.2019.8917395
M3 - Conference contribution
AN - SCOPUS:85076808065
T3 - 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
SP - 3954
EP - 3959
BT - 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
Y2 - 27 October 2019 through 30 October 2019
ER -