title: Verbal collision avoidance messages during simulated driving: perceived urgency, alerting effectiveness and annoyance.
abstract: Matching the perceived urgency of an alert with the relative hazard level of the situation is critical for effective alarm response. Two experiments describe the impact of acoustic and semantic parameters on ratings of perceived urgency, annoyance and alerting effectiveness and on alarm response speed. Within a simulated driving context, participants rated and responded to collision avoidance system (CAS) messages spoken by a female or male voice (experiments 1 and 2, respectively). Results indicated greater perceived urgency and faster alarm response times as intensity increased from -2 dB signal to noise (S/N) ratio to +10 dB S/N, although annoyance ratings increased as well. CAS semantic content interacted with alarm intensity, indicating that at lower intensity levels participants paid more attention to the semantic content. Results indicate that both acoustic and semantic parameters independently and interactively impact CAS alert perceptions in divided attention conditions and this work can inform auditory alarm design for effective hazard matching. Matching the perceived urgency of an alert with the relative hazard level of the situation is critical for effective alarm response. Here, both acoustic and semantic parameters independently and interactively impacted CAS alert perceptions in divided attention conditions. This work can inform auditory alarm design for effective hazard matching. STATEMENT OF RELEVANCE: Results indicate that both acoustic parameters and semantic content can be used to design collision warnings with a range of urgency levels. Further, these results indicate that verbal warnings tailored to a specific hazard situation may improve hazard-matching capabilities without substantial trade-offs in perceived annoyance.
authors.affiliation: Psychology Department, George Mason University, Fairfax, VA, USA. cbaldwi4@gmu.edu
authors.forename: Carryl L
authors.initials: CL
authors.lastname: Baldwin
mesh_terms: D000063:Accidents, Traffic / Q000517:prevention & control*; D000161:Acoustic Stimulation / Q000379:methods; D001307:Auditory Perception; D001334:Automobile Driving; D003198:Computer Simulation; D006801:Humans; D017751:Safety Management / Q000379:methods; D014831:Voice