10
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Use of auditory icons as emergency warnings: evaluation within a vehicle collision avoidance application.

      1
      Ergonomics
      Informa UK Limited

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          In the context of emergency warnings, auditory icons, which convey information about system events by analogy with everyday events, have the potential to be understood more quickly and easily than abstract sounds. To test this proposal, an experiment was carried out to evaluate the use of auditory icons for an in-vehicle collision avoidance application. Two icons, the sounds of a car horn and of skidding tyres, were compared with two conventional warnings, a simple tone and a voice saying 'ahead'. Participants sat in an experimental vehicle with a road scene projected ahead, and they were required to brake in response to on-screen collision situations and their accompanying warning sounds. The auditory icons produced significantly faster reaction times than the conventional warnings, but suffered from more inappropriate responses, where drivers reacted with a brake press to a non-collision situation. The findings are explained relative to the perceived urgency and inherent meaning of each sound. It is argued that optimal warnings could be achieved by adjusting certain sound attributes of auditory icons, as part of a structured, user-centred design and evaluation procedure.

          Related collections

          Author and article information

          Journal
          Ergonomics
          Ergonomics
          Informa UK Limited
          0014-0139
          0014-0139
          Sep 1999
          : 42
          : 9
          Affiliations
          [1 ] HUSAT Research Institute, Loughborough University, UK. r.graham@lboro.ac.uk
          Article
          10.1080/001401399185108
          10503056
          9b1d64ea-6a9e-47dc-9ccd-3bad071ac4b3
          History

          Comments

          Comment on this article

          scite_
          182
          3
          136
          1
          Smart Citations
          182
          3
          136
          1
          Citing PublicationsSupportingMentioningContrasting
          View Citations

          See how this article has been cited at scite.ai

          scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

          Similar content261

          Cited by22