Lips

Learning and Interactions in Proactive Spaces (LIPS)

Imagine someone living in a smart home. Most of the time the home is able to react correctly to the actions of the resident or take proper proactive actions, both based on a world model and measured variables. Inevitably at some stage the system makes an error and the resident has to take a corrective action, which enables the system to update its world model. Two research questions rise from this simple scenario:

How to construct and update a world model? And how can the system differentiate between a corrective interaction and normal behaviour of the resident. The project answers these questions by reaching its objectives:

1. To study methods for modelling of the environment and algorithms to adapt the model and design a control system for a smart home test environment.

2. To study interactions and context awareness in a home environment and create unobtrusive and user-friendly sensing methods and user interfaces for controlling and especially training the home environment.

3. To set up a test environment for validating the results with functional and user tests. The study is based on long-term research on smart environments by the Personal Electronics Group (PEG) at the Tampere University of Technology, Department of Electronics and especially on the Morphome-project of the Proactive computing -research program of the Academy of Finland. A framework was developed, which identifies the key elements of the environment. Intelligent objects and humans occupy both the information and physical levels of the environment and act according to their natural interaction mechanisms.

The LIPS-project will elaborate the model by studying the adaptation of the process model (1), context awareness of the system (2) and the interactions (3) between intelligent objects and the user. The project will use the Smart Home, which is a fully functional smart home environment constructed at the laboratory.

Updated , Hokkanen Mirja