Asymmetric Effects of False Positive and False Negative Indications on the Verification of Alerts in Different Risk Conditions

Indications from alerts or alarm systems can be the trigger for decisions, or they can elicit further information search. We report an experiment on the tendency to collect additional information after receiving system indications. We varied the proclivity of the alarm system towards false positive or false negative indications and the perceived risk of the situation. Results showed that false alarm-prone systems led to more frequent re-checking following both alarms and non-alarms in the high risk condition, whereas miss-prone systems led to high re-checking rates only for non-alarms, representing an asymmetry effect. Increasing the risk led to more re-checks with all alarm systems, but it had a stronger impact in the false alarm-prone condition. Results regarding the relation of risk and the asymmetry effect of false negative and false positive indications are discussed.

[1]  Joachim Meyer,et al.  Measures of Reliance and Compliance in Aided Visual Scanning , 2014, Hum. Factors.

[2]  Raja Parasuraman,et al.  Humans and Automation: Use, Misuse, Disuse, Abuse , 1997, Hum. Factors.

[3]  Joachim Meyer,et al.  Why Better Operators Receive Worse Warnings , 2002, Hum. Factors.

[4]  James P. Bliss,et al.  Dual-Task Performance as a Function of Individual Alarm Validity and Alarm System Reliability Information , 1996 .

[5]  John A. Swets,et al.  System operator response to warnings of danger: A laboratory investigation of the effects of the predictive value of a warning on human response time. , 1995 .

[6]  Douglas A. Wiegmann,et al.  Automation Failures on Tasks Easily Performed by Operators Undermines Trust in Automated Aids , 2003 .

[7]  Jason S McCarley,et al.  Effects of response bias and judgment framing on operator use of an automated aid in a target detection task. , 2011, Journal of experimental psychology. Applied.

[8]  P A Hancock,et al.  Alarm effectiveness in driver-centred collision-warning systems. , 1997, Ergonomics.

[9]  Christopher D. Wickens,et al.  On the Independence of Compliance and Reliance: Are Automation False Alarms Worse Than Misses? , 2007, Hum. Factors.

[10]  Joachim Meyer,et al.  Conceptual Issues in the Study of Dynamic Hazard Warnings , 2004, Hum. Factors.

[11]  Dietrich Manzey,et al.  Decision-making and response strategies in interaction with alarms: the impact of alarm reliability, availability of alarm validity information and workload , 2014, Ergonomics.

[12]  J P Bliss,et al.  Human probability matching behaviour in response to alarms of varying reliability. , 1995, Ergonomics.