Adaptive profiles for Multi-Modal Interaction in Intelligent Frameworks

Large-scale mobility in the era of embedded and mobile computers yields significant challenges with respect to personalization, networking, and security. Currently, mobile computing devices cannot be seamlessly and flexibly obtain information about the context in which computing takes place. This requires dedicated personalization and localization in combination with advanced autocustomization techniques in order to adapt them to the needs of the current context. For natural interaction, for instance, many devices offer different input and output modalities, which enable different modes of operation to perform the same task. Auto-customization of modalities and devices in range can be obtained, if the system has sufficient information on the user’s preferences, abilities, the current situation, and the device that performs a specific task. To aid the system’s decision, we propose a set of interrelated and expandable profiles, which are prepared for automated adaptation, what will play a central part in making the technology to become invisible.