A Comparison of Artificial Driving Sounds for Automated Vehicles

David Beattie
Glasgow Caledonian University

2:15pm-2:45pm, 19 August 2015
EM G.44


As automated vehicles currently do not provide sufficient feedback relating to the primary driving task, drivers have no assurance that an automated vehicle has understood and can cope with upcoming traffic situations. To address this we conducted two user evaluations to investigate auditory displays in automated vehicles using different types of sound cues related to the primary driving sounds: acceleration, deceleration/braking, gear changing and indicating. Our first study compared earcons, speech and auditory icons with existing vehicle sounds.

Our findings suggested that earcons were an effective alternative to existing vehicle sounds for presenting information related to the primary driving task. Based on these findings a second study was conducted to further investigate earcons modulated by different sonic parameters to present primary driving sounds. We discovered that earcons containing naturally mapped sonic parameters such as pitch and timbre were as effective as existing sounds in a simulated automated vehicle.

A pre-conference talk for UbiComp 2015 (7-11 September). Co-authored with Lynne Baillie (Heriot-Watt) and Martin Halvey (Strathclyde).

Hosts: Mike Just and Lynne Baillie