Enhancing Explainability of Automated Vehicles with Culturally-Aware HMIs
Thomas Goodge (University of Glasgow)
Jingyi Li (LMU Munich)
Shiv G. Patel (University of British Columbia)
Victor Gravis (ENAC)
Soyeon Kim (TU Delft - Industrial Design Engineering)
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Abstract
In the future, automated vehicles can allow much longer journeys to be undertaken without a driver. This could involve travel across countries with different road systems, traffic rules, and regulations. Disparate cultures also have different expectations of how vehicles should behave. These need to be taken into account when designing HMIs to convey vehicle behaviour and intent. In this work, we presented four scenarios where culturally-sensitive HMIs could benefit both drivers and other road users in a cross-cultural setting. This video will hopefully provoke further discussion and research interest in cross-culture human-vehicle interaction.