Development of a driver assist interface for snowplows using iterative design

Abstract

A system to aid snowplow operators during adverse, low-visibility conditions was developed using a quick, low-cost iterative design process. The system provided display-independent visual information on lane edges, lateral position, and potential forward collisions. Short practice curves were seen on a prototype lateral assist system with drivers achieving a steady state within three trials. The subsequent operational system resulted in positive driver feedback and quick learning periods. Drivers had positive impressions regarding ease of use, appeal, and safety. Behavior data showed that the short learning curves seen with the prototype could also be associated with the operational system. Using the framework of this snowplow problem, an iterative design process is also described that is robust to variations in available time and resources. Application specific and process design lessons are also discussed.