Monitoring user distraction in a car by segmentation of experimental data

We present in this paper results of research conducted on evaluation of speech user interfaces in cars. The approach is based on segmentation of the driver's attention data based on user activity and attention. The methodology applied is based on the proposed standard of Lane Change Test (ISO proposal #26022) which is extended by splitting the data based on operation performed. We summarize first results obtained while larger scale study is ongoing.