Literature DB >> 15676970

The design and implementation of non-verbal auditory warnings.

J Edworthy1.   

Abstract

There are many common problems in the use of non-verbal auditory warnings in the working environment. They are often too loud, too numerous, and they are frequently confusing. These problems have a range of consequences, many of them serious. However, there now exist a number of guidelines and sets of experimental data that address these problems and provide fairly comprehensive solutions. In this article the underlying problems are highlighted, and the guidelines and research that have addressed the central issues of correct loudness levels and psychological appropriateness, particularly warning confusion and 'urgency mapping', are reviewed and evaluated. It is argued that a proper ergonomics approach to auditory warning design and implementation is not a luxury, but a necessity. A number of projects in which advanced, ergonomic auditory warning systems have been developed are described in detail, and some new research questions are proposed.

Year:  1994        PMID: 15676970     DOI: 10.1016/0003-6870(94)90001-9

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  6 in total

1.  Machine learning applied to multi-sensor information to reduce false alarm rate in the ICU.

Authors:  Gal Hever; Liel Cohen; Michael F O'Connor; Idit Matot; Boaz Lerner; Yuval Bitan
Journal:  J Clin Monit Comput       Date:  2019-04-06       Impact factor: 2.502

2.  Developing and Selecting Auditory Warnings for a Real-Time Behavioral Intervention.

Authors:  John Bellettiere; Suzanne C Hughes; Sandy Liles; Marie Boman-Davis; Neil Klepeis; Elaine Blumberg; Jeff Mills; Vincent Berardi; Saori Obayashi; T Tracy Allen; Melbourne F Hovell
Journal:  Am J Public Health Res       Date:  2014

Review 3.  Translating cognitive neuroscience to the driver's operational environment: a neuroergonomic approach.

Authors:  Monica N Lees; Joshua D Cosman; John D Lee; Nicola Fricke; Matthew Rizzo
Journal:  Am J Psychol       Date:  2010

Review 4.  Medical audible alarms: a review.

Authors:  Judy Edworthy
Journal:  J Am Med Inform Assoc       Date:  2012-10-25       Impact factor: 4.497

5.  KS(conf): A Light-Weight Test if a Multiclass Classifier Operates Outside of Its Specifications.

Authors:  Rémy Sun; Christoph H Lampert
Journal:  Int J Comput Vis       Date:  2019-10-10       Impact factor: 7.410

6.  Cognitive Load Changes during Music Listening and its Implication in Earcon Design in Public Environments: An fNIRS Study.

Authors:  Eunju Jeong; Hokyoung Ryu; Geonsang Jo; Jaehyeok Kim
Journal:  Int J Environ Res Public Health       Date:  2018-09-21       Impact factor: 3.390

  6 in total

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