Article details

Research area
Speech recognition

Human-Computer Interaction. Towards Mobile and Intelligent Interaction Environments Lecture Notes in Computer Science Volume 6763, pp 418-425


Martin Labský, Tomáš Macek, Jan Kleindienst, Holger Quast, Christophe Couvreur

In-Car Dictation and Driver’s Distraction: A Case Study


We describe a prototype dictation UI for use in cars and evaluate it by measuring (1) driver’s distraction, (2) task completion time, and (3) task completion quality. We use a simulated lane change test (LCT) to assess driving quality while using the prototype, while texting using a cell phone and when just driving. The prototype was used in two modes – with and without a display (eyes-free). Several statistics were collected from the reference and distracted driving LCT trips for a group of 11 test subjects. These statistics include driver’s mean deviation from ideal path, the standard deviation of driver’s lateral position on the road, reaction times and the amount and quality of entered text. We confirm that driving performance was significantly better when using a speech enabled UI compared to texting using a cell phone. Interestingly, we measured a significant improvement in driving quality when the same dictation prototype was used in eyes-free mode.

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