Unlocking the Potential of Mobile Big Data for Behavioral Research
Data provided by mobile phones have the power to revolutionize our ability to understand and improve behavioral choices around, for example physical activity, travel behavior, social connections, etc. Capitalizing on this large quantity of data could be greatly enhanced by soliciting small amounts of user input in real-timearound specific situations that of interest. To do this, we need to develop reliable mechanisms to trigger context-specific real-time user input queries. We also need to develop algorithms that can maximize the trade-off of certainty of information versus user burden.
In this project we will develop mechanisms to trigger user inquiries to enhance the interpretability of other data from the phone and use machine learning to identify ideal moments to request user input. The results of this study will help us and other researchers unlock the potential of behavioral "big data" from mobile phones.
Published in Ubicomp 2017 Posters.