Concept and Implementation of a Modular Android-based Intelligent Personal Assistant
Personal assistance systems like Google Now or Apple’s Siri, which support users in their daily lives, become more and more popular. However, building assistance applications or services personalized for each user requires, first, an in-depth understanding of user’s behavior and, second, appropriate techniques for providing assistance to users. State of the art systems are already able to realize the first part by tracking users through multiple devices and analyzing these personal data, e.g., to access mental health or behavioral trends. Therefore, this thesis focuses on the second part by providing assistance and intervention.
The goal of this thesis is to design and implement an Android-based application for easily and quickly realizing arbitrary personalized assistance use cases.
For that, a modular design approach is preferable. Moreover, the system should match following requirements:
- continous tracking of users utilizing the Kraken.me SDK while considering user's privacy settings,
- sending/receiving data to/from our server,
- investigating techniques to support users in their daily life,
- multi-device capable.
This work will be written in English.
- Christian Meurisch (christian.meurisch(a-t)tk.informatik.tu-darmstadt.de)
- Benedikt Schmidt
Forschungsgebiete: Telecooperation , Ubiquitous Computing