Article ID Journal Published Year Pages File Type
464917 Pervasive and Mobile Computing 2014 17 Pages PDF
Abstract

Keeping up to date with the world outside while driving is currently only possible through the impersonal car radio or the distracting features of a smart phone. In-vehicle infotainment systems exist today that attempt to tackle this challenge but few are sensitive to the current driving state. This paper describes the development of a multi-modal proactive recommendation system featuring personalized content combined with the use of car sensors to determine when to present information. A prototype is implemented in a car simulator and trained through user tests. The final system shows a 19% deviation from baseline driving and thereby performs better than comparable systems. This is backed up by user experience data which reports drivers having a positive experience with the system.

Related Topics
Physical Sciences and Engineering Computer Science Computer Networks and Communications
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