Crash Warning Interface Metrics: Final Report
Year: 2012
Type: report
Abstract: The Crash Warning Interface Metrics (CWIM) project addressed issues of the driver-vehicle interface (DVI) for Advanced Crash Warning Systems (ACWS). The focus was on identifying the effects of certain warning system features (e.g., warning modality) and on methods and metrics that may be generally applied for evaluating DVIs in different vehicles. The project did not have the goal of proposing standard interfaces for particular warning functions. However, it did consider where there may be issues related to DVI variability, since even systems that test adequately by themselves may suffer problems in actual application, because users face problems due to the differences in DVI among vehicles. The project included both analytical activities and five experiments. The outcome of these efforts led to discussions of ACWS display characteristics and evaluation methods. Considerations for DVI evaluation methods included driving scenarios, research participant characteristics, pre-familiarization with the warning system, the distraction task, the participant’s task and associated expectancies, accommodating user settings and options, the use of comparison benchmarks, and issues in the treatment of data.
Source: ROSA P
DOI: 10.21949/1525736
Authors: Lerner, Neil, Jenness, James, Robinson, Emanuel, Brown, Timothy, Baldwin, Carryl, Llaneras, Robert E., Westat (United States)
Language: English
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W658005332