@conference{Ani2021,
Author = {Anirudh Unni, Alexander Trende, Claire Pauley, Bianca Biebl, Severin Kacianka, Andreas Lüdtke, Klaus Bengler, Alexander Pretschner, Jochem W Rieger},
Title = {Decision making in human-autonomous vehicle interaction},

Year = {2021},
Month = {},
Booktitle = {Neuroergonomics 21},
Url = {https://neuroergonomicsconference.um.ifi.lmu.de/wp-content/uploads/submissions/129.pdf},
type = {conference},
Abstract = {A majority of vehicle accidents is caused by human errors (Singh, 2015). The main promise of autonomous
driving is that autonomous vehicles (AV) will reduce traffic accidents caused by human errors and will
eventually be safer than human driven vehicles (HV). However, until a time comes when only fully
autonomous vehicles travel on roads, the interaction between HV and AV remains extremely important.
There is evidence that humans apply different moral concepts for interactions with cyber-physical systems
which are much more outcome-oriented as compared to norm-oriented interactions with other humans
(Malle et al., 2015). This implies that humans will interact differently with technical systems, like AV than
with HV. The aim of this study was to investigate if there is a difference between the valuation of actions
when an interaction involves AV as compared to similar interactions with other HV in time-critical merging
situations and whether these potential differences in human-human and human-autonomous vehicle
interactions can be characterized from behavior and neurophysiological whole-head fNIRS brain activation
measurements.}
}
@COMMENT{Bibtex file generated on }