title: Cooperative warning systems: The impact of false and unnecessary alarms on drivers' compliance.
abstract: Cooperative warning systems have a great potential to prevent traffic accidents. However, because of their predictive nature, they might also go along with an increased frequency of incorrect alarms that could limit their effectiveness. To better understand the consequences associated with incorrect alarms, a driving simulator study with N=80 drivers was conducted to investigate how situational context and warning urgency jointly influence drivers' compliance with an unreliable advisory warning system (AWS). The participants encountered several critical urban driving situations and were either assisted by a 100% reliable AWS, a 60% reliable AWS that generated false alarms (without obvious reason) or a 60% reliable AWS that generated unnecessary alarms (with plausible reason). A baseline drive without any assistance was also introduced to the study. The warnings were presented either only visually or visual-auditory. In line with previous research, drivers' compliance and effectiveness of the AWS was reduced by false alarms but not by unnecessary alarms. However, this so-called cry wolf effect (Breznitz, 1984) was only found in the visual-auditory condition, whereas there was no effect of warning reliability in the condition with visual AWS. Furthermore, false but not unnecessary alarms caused the participants to rate the AWS less favourably during a follow-up interview. In spite of these negative effects of false alarms, a reduction in the frequency of safety-critical events (SCEs) and an earlier braking onset were evident in all assisted drives compared with that of non-assisted driving, even when the AWS was unreliable. The results may thus lower concerns about the negative consequences of warning drivers unnecessarily about upcoming traffic conflicts if the reasons of these alarms are comprehensible. From a perspective of designing AWS, we recommend to use less urgent warnings to prevent the cry wolf effect.
authors.affiliation: University of Wuerzburg, Center for Traffic Sciences (IZVW), Germany. Electronic address: naujoks@wivw.de.
authors.forename: Frederik
authors.initials: F
authors.lastname: Naujoks
authors.affiliation: University of Freiburg, Department of Psychology, Germany.
authors.forename: Andrea
authors.initials: A
authors.lastname: Kiesel
authors.affiliation: University of Wuerzburg, Center for Traffic Sciences (IZVW), Germany.
authors.forename: Alexandra
authors.initials: A
authors.lastname: Neukum
mesh_terms: D000063:Accidents, Traffic / Q000517:prevention & control*; D000328:Adult; D001334:Automobile Driving / Q000706:statistics & numerical data*; D003198:Computer Simulation; D005260:Female; D006801:Humans; D008297:Male; D011482:Protective Devices; D015203:Reproducibility of Results; D012449:Safety; D014584:User-Computer Interface; D055815:Young Adult
keywords: Advisory warnings; Cry wolf effect; False alarms; Warning urgency