Publication

The DO-IT BEST Feedback Model - Distracted Driver Behaviour Management and Prevention Before, While And After Driving

Applied to driver distraction and inattention prevention/mitigation, this paper expresses how to enhance attention allocation using the DO-IT BEST Feedback Model – a model on ‘behavioural change’. Today, there are two main approaches to improve traffic safety through feedback to drivers. One approach is Advanced Driver Assistance Systems (ADAS), which are concurrent feedback systems that warn the driver in a dangerous situation (e.g. taking the eyes off the road). The other approach, behaviour-based safety management programs (BBS), use deferred feedback (i.e. pre- or post-trip) and target, for example, a habit of sending text messages while driving. If both approaches are used, feedback to drivers is provided during different timescales before, while and after driving. Each approach on its own is an effective crash prevention strategy, however they tend to be used independently and would benefit from being integrated into one holistic crash prevention strategy. The DO-IT BEST Feedback Model is such a holistic and integrated crash prevention strategy. DO-IT BEST is an acronym for Define, Observe, Intervene, and Test targeted at-risk and/or safe behaviour as well as to assimilate Behavioural check-ups, Education, Safety benefit analysis and Training on targeted at-risk and/or safe behaviour. The model consists of a closed circuit set of feedback strategies, based on the driver’s own behaviour, and ranging from concurrent on-board driver feedback to deferred post-trip feedback. The various feedback sources (e.g. technology- or human-based feedback) are included in the model.

Author(s)
Claudia Wege, Trent Victor
Research area
Systems for accident prevention and AD
Publication type
Conference paper
Published in
Proceedings of the Third International Conference on Driver Distraction and Inattention, September 2013, Göteborg
Project
ADAPTATION - Drivers’ adaptation processes in response to ADAS use (associated project)
Year of publication
2013