A comparison of artificial driving sounds for automated vehicles

David Beattie, Lynne Baillie, Martin Halvey

Research output: Chapter in Book/Report/Conference proceedingChapter

7 Citations (Scopus)
146 Downloads (Pure)

Abstract

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 [16]. 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.
Original languageEnglish
Title of host publicationUbiComp '15
Subtitle of host publicationProceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Pages451-462
Number of pages12
DOIs
Publication statusPublished - 7 Sep 2015
Event2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing - Osaka, Japan
Duration: 7 Sep 2015 → …

Conference

Conference2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing
CountryJapan
CityOsaka
Period7/09/15 → …

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Keywords

  • automated vehicles
  • driving
  • traffic
  • driving sounds
  • auditory displays

Cite this

Beattie, D., Baillie, L., & Halvey, M. (2015). A comparison of artificial driving sounds for automated vehicles. In UbiComp '15: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 451-462) https://doi.org/10.1145/2750858.2807519