Affiliation:
1. Dept. of Industrial Engineering Auburn University Auburn, Alabama
2. Dept. of Industrial Engineering Iowa State University Ames, Iowa
Abstract
A method is presented whereby the effectiveness of auditory warning devices in a given acoustical background can be predetermined and the most effective signal selected. In developing the methods, eight complex, variable pitch acoustically engineered horn-type signals were used. Four spectrally representative industrial noise backgrounds plus white noise were used to provide test environments. A predictive model involving octave-band analysis, signal-noise ratios and reaction time was developed.