Mentor: Prof. Axel Kufus
Personal intelligent assistants are nowadays neither very personal nor particularly intelligent. With the development of new technologies for understanding and generating natural language, new opportunities are emerging to improve these systems. This project assumes that many human work processes can be augmented rather than automated by such intelligent systems.
In contrast to the graduation project, which focused on creating a physical interface for a personal assistant to facilitate creative exchange, this scholarship aims to identify and narrow down a valuable use case. By identifying specific problems and quickly testing assumptions with functional prototypes, the hope is to uncover useful applications, ranging from general information retrieval through dialogues to more specific areas like healthcare.