Smartphone devices are getting increasing popular and users are also spending more time on them.
Goals: Developed a platform to collect useful and accurate user behaviour and actions in a manner that:
- Is battery resource efficient.
- Is network resource and cost efficient.
- Does not impact the user experience on their devices.
Collection of large diverse sets of data from different sources at minimum cost to battery. Leveraging:
- Effective use of sensors
- Collaboration, Participation & Cloud
- Users behaviour
Efficient Network Usage
Transmission of valuable and private data at reduction of cost (network & charges). Leveraging:
- Data type & behaviour
- Exploiting context
- Network protocols
Learning the User
Exploiting user patterns can further achieve reduction in savings in sensing as well as network usage.
The Collection Platform
Deep Context Collector
- Mobile Agent for Gathering Pervasive Information & Evaluator/Experiment System (MAGPIES)
- Android & iOS platform
- Two operation modes:
Precision Mode: High-Medium fidelity data
Coarse Mode: Low-Medium fidelity data
Dynamic Collector Control
Control / Information / Notifications messages forreal-time on-the-fly control to alter efficiency andfidelity of collector.
- Novel and interesting mobile Apps can be build on top of the MAGPIES platform.
- Partner apps that make uses of inferred context.
Last updated on 03 Sep 2015 .