The Impact of Autonomous Vehicles’ Active Feedback on Trust
The successful introduction of self-driving technology may depend on the ability of the vehicles’ human-machine interface to convey trust to the vehicle occupants. Using a driving simulator, in this experiment we aimed to evaluate drivers’ trust on an autonomous system, depending on the feedback the vehicle provided by an assistive cluster’s interface. Forty participants were divided into three groups regarding levels of feedback: (a) cluster without feedback (N = 13); (b) cluster with feedback regarding the surrounding vehicles (N = 14); (c) cluster with feedback regarding the surrounding vehicles and the vehicle’s own decisions (N = 13). For all groups, a visual search task was introduced as an indirect indicator of trust in the autonomous system. Results showed an inverse relation between available feedback and correct answers. The system was evaluated as trustable and safe by all groups. Overall, the results may contribute to design requirements for future vehicle HMIs, as they indicate that more information does not necessarily convey more trust.
KeywordsAutonomous driving Trust Cluster’s feedback Visual search task
This work has been supported by FCT – Fundação para a Ciência e Tecnologia the scope of the Project: UID/CEC/00319/2019 and by: European Structural and Investment Funds in the FEDER component, through the Operational Competitiveness and Internationalization Programme (COMPETE 2020) [Project no. 039334; Funding Reference: POCI-01-0247-FEDER-039334].
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