Cough Once for Danger: Icons Versus Abstract Warnings as Informative Alerts in Civil Aviation

Objective: An experiment investigated the efficacy of auditory icons as warning signals in an aviation context. Background: Iconic signals, such as a cough to signal dangerous levels of carbon monoxide, convey information about the nature of an incident and alert the operator that there is a problem, whereas signals that are arbitrarily associated with a critical incident provide relatively less information. Warning recognition speed and accuracy are likely to be influenced by modality of presentation (visual, auditory, auditory + visual) and task demand (low, high). Methods: The 172 participants completed a computer-based training session and test task that involved responding to abstract or iconic auditory (1 s), visual, or auditory + visual warnings associated with seven critical incidents while performing low- and high-demand concurrent tasks. Results: Significantly fewer training trials were required to learn iconic warnings than abstract warnings. An advantage for iconic warnings persisted into the test phase, evident most consistently as greater warning recognition accuracy. The effect was observed in both high- and low-demand conditions. Auditory abstract warnings, in particular, elicited slow reaction times and poor accuracy. Conclusion: Associations between a small number of meaningful environmental sounds and critical incidents can be learned with ease relative to more abstract associations, although training is required and response times are relatively slow. Application: Sets of distinctive auditory iconic warnings can be designed to alert and inform pilots about non-time-pressured events. Potential applications of language-neutral icons as informative warnings include civil, commercial, and defense aircraft.

[1]  Martin B. Curry,et al.  Exploring the effects of icon characteristics on user performance: the role of icon concreteness, complexity, and distinctiveness. , 2000, Journal of experimental psychology. Applied.

[2]  C D Wickens,et al.  Codes and Modalities in Multiple Resources: A Success and a Qualification , 1988, Human factors.

[3]  C. Spence,et al.  Assessing the effectiveness of various auditory cues in capturing a driver's visual attention. , 2005, Journal of experimental psychology. Applied.

[4]  David Gittins,et al.  Icon-Based Human-Computer Interaction , 1986, Int. J. Man Mach. Stud..

[5]  D J Folds,et al.  Auditory signals in military aircraft: ergonomics principles versus practice. , 1986, Applied ergonomics.

[6]  Martin B. Curry,et al.  Icon Identification in Context: The Changing Role of Icon Characteristics With User Experience , 2007, Hum. Factors.

[7]  William W. Gaver The SonicFinder: An Interface That Uses Auditory Icons , 1989, Hum. Comput. Interact..

[8]  R. R. Patterson,et al.  Guidelines for auditory warning systems on civil aircraft , 1982 .

[9]  William W. Gaver What in the World Do We Hear? An Ecological Approach to Auditory Event Perception , 1993 .

[10]  B. Tabachnick,et al.  Using multivariate statistics, 5th ed. , 2007 .

[11]  William W. Gaver,et al.  Effective sounds in complex systems: the ARKOLA simulation , 1991, CHI.

[12]  Judy Edworthy,et al.  Warning design : a research prospective , 1996 .

[13]  R. Woodworth,et al.  Experimental psychology, Rev. ed. , 1954 .

[14]  German Valencia,et al.  Effectiveness of Three-Dimensional Auditory Directional Cues , 1988 .

[15]  Douglas L. Chute,et al.  Fifth-generation research tools: Collaborative development with PowerLaboratory , 1996 .

[16]  Peter Keller,et al.  Meaning from environmental sounds: types of signal-referent relations and their effect on recognizing auditory icons. , 2004, Journal of experimental psychology. Applied.

[17]  Steve Caplin,et al.  Icon Design: Graphic Icons in Computer Interface Design , 2001 .

[18]  Christopher D. Wickens,et al.  Multiple resources and performance prediction , 2002 .

[19]  C D Wickens,et al.  Compatibility and Resource Competition between Modalities of Input, Central Processing, and Output , 1983, Human factors.

[20]  R Hétu,et al.  Audibility and identification of auditory alarms in the operating room and intensive care unit. , 1993, Ergonomics.

[21]  Durand R. Begault,et al.  3-D Sound for Virtual Reality and Multimedia Cambridge , 1994 .

[22]  Daniel G Bobrow,et al.  On data-limited and resource-limited processes , 1975, Cognitive Psychology.

[23]  Gary S. Robinson,et al.  A New Class of Auditory Warning Signals for Complex Systems: Auditory Icons , 1999, Hum. Factors.

[24]  Y C Liu,et al.  Comparative study of the effects of auditory, visual and multimodality displays on drivers' performance in advanced traveller information systems , 2001, Ergonomics.

[25]  R Graham,et al.  Use of auditory icons as emergency warnings: evaluation within a vehicle collision avoidance application. , 1999, Ergonomics.