Development and Validation of Warning Message Utility Scale (WMUS)

The evaluation of the warning message effectiveness is an important issue in improving communication safety in the system. The goal of the present research was to develop the scale to evaluate the warning message utility, namely, the effectiveness of warning message in preventing accident in general, and an empirical study was conducted to validate the Warning Message Utility Scale (WMUS) in a controlled laboratory environment. The reliability analysis indicated a good the split-half reliability for the WMUS with a Spearman-Brown Coefficient of .873. The predictive validity of WMUS was verified by the significant correlations between the WMUS scores and behavioral indexes of message utility (including reduced kinetic energy and collision rate). The results of regression indicated that the VWMUS is significant predictor of reduced kinetic energy (r2=.339, p<.001) and collision rate (r2=.363, p<.001), which further proved that the validity of WMUS in measuring effectiveness of the warning messages.

[1]  Jerry L. Purswell,et al.  Warning Effectiveness: What Do We Need to Know , 1987 .

[2]  Frank E. Gomer Evaluating the Effectiveness of Warnings under Prevailing Working Conditions , 1986 .

[3]  Mary F Lesch,et al.  Comprehension and memory for warning symbols: age-related differences and impact of training. , 2003, Journal of safety research.

[4]  Carryl L. Baldwin Verbal collision avoidance messages during simulated driving: perceived urgency, alerting effectiveness and annoyance , 2011, Ergonomics.

[5]  Kenneth R. Laughery,et al.  Behavioral Effectiveness of Warnings , 1985 .

[6]  Mary L. Cummings,et al.  Effects of Single Versus Multiple Warnings on Driver Performance , 2007, Hum. Factors.

[7]  S. Hart,et al.  Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research , 1988 .

[8]  Robert M. Kaplan,et al.  Psychological testing: Principles, applications, and issues, 5th ed. , 2001 .

[9]  Michael S. Wogalter,et al.  Effectiveness of Warnings , 1987 .

[10]  Paul Green,et al.  Driver Performance and Memory for Traffic Messages: Effects of the Number of Messages, Audio Quality, and Relevance , 1998 .

[11]  Mark R. Lehto,et al.  Improving the effectiveness of warnings by increasing the appropriateness of their information content: some hypotheses about human compliance , 1996 .

[12]  John D Lee,et al.  Auditory alerts for in-vehicle information systems: The effects of temporal conflict and sound parameters on driver attitudes and performance , 2004, Ergonomics.

[13]  Kenneth R Laughery,et al.  Safety communications: warnings. , 2006, Applied ergonomics.

[14]  E. Salas,et al.  Human Factors : The Journal of the Human Factors and Ergonomics Society , 2012 .

[15]  Michael S. Wogalter,et al.  Effect of signal word and source attribution on judgments of warning credibility and compliance likelihood , 1999 .

[16]  P. Hancock,et al.  Human Mental Workload , 1988 .

[17]  Robert Gray,et al.  A Comparison of Tactile, Visual, and Auditory Warnings for Rear-End Collision Prevention in Simulated Driving , 2008, Hum. Factors.

[18]  Michael S. Wogalter,et al.  Behavioral compliance with warnings: effects of voice, context, and location , 1993 .

[19]  Daniel V. McGehee,et al.  Collision Warning Timing, Driver Distraction, and Driver Response to Imminent Rear-End Collisions in a High-Fidelity Driving Simulator , 2002, Hum. Factors.

[20]  Rudolf G. Mortimer Effectiveness of a Warning as Measured by Behavior Change , 2007 .