In our previous research [11] we have presented some contributions to the first issue, so in this paper we will try to contribute to the second one. In particular we will present our results based on our activities http://www.selleckchem.com/products/PD-0332991.html in the Mobility for Advanced Transport Networks (MARTA) project [12], a Spanish publicly funded project where several context-aware interactive services were designed and implemented for In-Vehicle Information Systems (IVIS) and Advanced Driver Assistance Systems (ADAS). It is important to point out that, as stated before, we believe that the proposed framework for integrating HMI and Semantic Sensor Web principles and technologies is general enough and could be applied in a variety of scenarios featuring mobile devices, multimedia and home appliances, urban interactive infrastructures, etc.
Nevertheless, in order to make the presentation of the proposed framework clearer, in this paper we will focus on a scenario where a driver of a connected car provides, through interaction with an in-vehicle HMI system, contextual information that can be valuable for other applications. For example, the driver may detect potential dangers on the road (ice-patches, pedestrians, etc.), or certain traffic conditions (accidents or congestions) or environmental conditions (dense fog or heavy rain). Then, by interacting with an in-vehicle HMI system, (s)he can make this contextual information available to other interested applications (e.g., a Road Safety Authority or other HMI systems in surrounding connected vehicles).
In the manner of recent proposals such as the Human Sensor Web [13], these pieces of contextual information that user of the connected object (i.e., the driver) provides will be referred to here as human-generated observations.Future in-car interaction Anacetrapib scenarios must be considered not as simple ��local�� driver-system interfaces, but, as Figure 1 illustrates, as complex systems. HMI systems for connected cars have to manage, not only different driver’s interaction modalities (speech�Cmicrophones and loudspeakers; vision�Cdisplays; haptic�Cknobs, buttons, touch screen; etc.), but also local and remote sensor find more info information. As shown in Figure 1, context-aware HMI systems can be regarded as systems that use sensor data and user inputs to interact with applications, but at the same time HMIs may be regarded as sensing systems capable of producing real-world information for the Sensor Web. This capability of using HMI systems embedded in a connected object to publish information into the Sensor Web could be related, either to measurements from its local sensors (attached to the object), or to data directly provided by her user.