Method for Understanding Complex Human Routine Behaviors from Large Behavior Logs
Nikola Banović · 2017
The increasing ability to collect large amounts of human behavior data can inform technology that has the potential to help people improve their behaviors and thus improve the quality of their lives. To design and implement such technology requires understanding of those very behaviors that the technology is trying to diagnose and improve. However, existing methods to explore and make sense of human behaviors are not well suited to address the increasingly large amount of data collected in behavior logs. My research focuses on the domain of human routines where I model behaviors as sequences of actions people perform in specific situations. I leverage those computational models of routines together with different visualization tools to aid researchers and domain experts in exploring, making sense of, and generating new insights about human behavior in a principled way. My research informs the design of technology that helps people be productive, healthy, and safe.