Decision making in human-autonomous vehicle interaction
Anirudh Unni, Alexander Trende, Claire Pauley, Bianca Biebl, Severin Kacianka, Andreas Lüdtke, Klaus Bengler, Alexander Pretschner, Jochem W Rieger
Neuroergonomics 21
A majority of vehicle accidents is caused by human errors (Singh, 2015). The main promise of autonomousdriving is that autonomous vehicles (AV) will reduce traffic accidents caused by human errors and willeventually be safer than human driven vehicles (HV). However, until a time comes when only fullyautonomous 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 systemswhich 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 thanwith HV. The aim of this study was to investigate if there is a difference between the valuation of actionswhen an interaction involves AV as compared to similar interactions with other HV in time-critical mergingsituations and whether these potential differences in human-human and human-autonomous vehicleinteractions can be characterized from behavior and neurophysiological whole-head fNIRS brain activationmeasurements.
2021
conference
