Personalized In-Vehicle Information Systems: Building an Application Infrastructure for Smart Cars in Smart Spaces

Abstract

Although intelligent components in modern cars help to contribute to safe mobility, they lack important Smart Environment characteristics like personalization. Moreover, today's in-vehicle infotainment systems do not offer any interaction possibility between the passenger and the visible environment around the car. In this paper we combine several technologies and propose an approach on personalized user interaction in urban environments. We present a showcase that points out the interplay of personalized in-vehicle infotainment system and interaction with visible outside environment.

Implicit Personalization in Driving Assistance: State-of-the-Art and Open Issues

“…In interactive assistance, compared to explicit personalization [136,137] which relies on manual setting, implicit methods (e.g. the combination of incremental Gaussian mixture models and support vector machines [135]) are more convenient and efficient which is demonstrated in real-time vehicle tests.…”

“…To cooperate with driver seamlessly and naturally, digital driving assistants should be able to recognize emotions or states of a specific driver by using speech and video as indicated by [135][136][137]. In [136,137], an in-car assistant robot is developed to interact with a driver socially.…”

EyeVIUS

“…Fletcher et al describe in [2] an assistant system that decides on the basis of the driver's eye-gaze together with the detected road signs and pedestrians, whether the driver has seen a specific object or not. Moniri et al describe in [7] a system, which uses a combination of eye-gaze and environment model to deliver context-sensitive information to the drivers.…”

Four Eyes See More Than Two: Shared Gaze in the Car

“…The gaze of the front-seat passenger and its potential as further source of info rmation for the driver is mostly neglected. Moniri et al [17] and Moniri and Müller [18], however, present a first approach towards that direction. They claim that current IVIS do not offer any possibility for the car passengers to interact with the visible environment around the vehicle or provide any information about the visible objects in sight.…”

“…We aim at answering the question of whether gaze-supported advice by the co-driver during a navigational task provides an advantage (i.e., better driving performance, less distraction and less workload) compared to solely verbal advice of the co-driver or a solitary condition, where the driver performs the task alone. Based on the findings from related work ( [3], [7], [9], [17], [19]), we assume that collaborative navigation should lead to better driving performance, less perceived visual distraction, and less workload of the driver compared to solitary navigation. Furthermore, shared-gaze collaborative navigation should lead to better driving performance, less distraction, and less workload of the driver compared to solely verbal collaborative navigation.…”