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An Approach to Adapting Automated Vehicle Behaviour to Real-Time User Trust : A Driving Simulator Study

Boyko, Anna (2024) An Approach to Adapting Automated Vehicle Behaviour to Real-Time User Trust : A Driving Simulator Study.

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Abstract:With progressively advancing technological developments in automated driving, automated vehicles (AVs) hold significant potential in improving traffic safety and efficiency. However, these benefits can only be realized if people accept AVs. One of the main factors currently hindering acceptance of AVs is trust. This study investigated a form of adaptive automation, testing whether personalized speed could lead to higher trust in AVs for initially low-trusting people. To test that, a driving simulator study was conducted, using a between-subjects design, where 45 participants were divided into three groups (one experimental, two control groups). For the experimental group, speed changed according to real-time trust as indicated by using a trust slider during the 15-minute simulated driving session. Additionally, Electrodermal Activity (EDA) was measured using a wristband and pre- and post-questionnaires were utilized to analyse the change in trust. Even though trust increased significantly after having experienced the AV in all three groups, the adaptive speed did not influence trust. This was also reflected in EDA measures and trust slider values, which did not differ between the groups. Thus, the study did not find a proper way to incorporate adaptive automation according to trust levels. Nevertheless, future studies could improve technical limitations of the current study to build upon the recommendations on how adaptive automation could be realized.
Item Type:Essay (Master)
Clients:
Leiden University, Leiden, Netherlands
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:77 psychology
Programme:Psychology MSc (66604)
Link to this item:https://purl.utwente.nl/essays/98149
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