Understanding Your History: Multi-dimensional Data Stream Visualization of Personal Lifelogging Data

Abstract

A large amount of time-series data has been frequently used to extract the useful patterns and trends and to visualize them for better understanding. This work is focusing on visualizing personal lifelogging data for tracking back to personal histories. Thereby, we present several similarity measures between multi-dimensional data at two different time points. For human evaluation, the method has been applied to My Movie History (which a social recommendation system by storing personal movie logs) and tested with a number of users.