Enhancing Voice Assistants: A Proactive Approach

Today the smart devices are more and more connected to each other. The people interact with these devices to execute simple and basic operations. The increase of the personal assistants has simplified these interactions thanks to the vocal commands. However they are not smart enough to adapt to the user lifestyle, forcing the user to manually configure the actions to be performed when a specific event is triggered (top-down approach). Therefore the interactions between the devices are conditioned by the user perception of its lifestyle, risking to miss some scenarios that the human does not sense. In this work we propose a proactive approach (bottom-up) to the interaction between the personal assistants and other IoT devices, that enables to modify at run-time the actions and to anticipate the user requests, self-configuring to provide more services. This approach uses a main personal assistant that analyse the user interactions to the IoT devices and other personal assistants, writes and installs the driver code to the interested devices. The interaction between the IoT devices and the main personal assistant is supported by WoX.