A proxemic multimedia interaction over the internet of things

Abstract

With the rapid growth of online devices, a new concept of Internet of Things (IoT) is emerging in which everyday devices will be connected to the Internet. As the number of devices in IoT is increasing, so is the complexity of the interactions between the user and the devices. There is a need to design intelligent user interfaces that could assist users in interactions with multiple devices. The present study proposes a proximity-based user interface for multimedia devices over IoT. The proposed method employs a cloud-based decision engine to support user to choose and interact with the most appropriate device, reliving the user from the burden of enumerating available devices manually. The decision engine observes the multimedia content and device properties, learns user preferences adaptively, and automatically recommends the most appropriate device to interact. The system evaluation shows that the users agree with the proposed interaction 70% of the times.