Commodity smart phones have made the visions of ubiquitous computing common place. We call these phones „smart phones“ simply because they have a mobile operating system, not because they are smart. In fact, they are pretty dumb. They know nothing about their users, despite the fact that they spend hours a day with them.
The Ubicomp lab at Carnegie Mellon University has been using these phones to collect a wide variety of data to enable a wide variety of context-aware user experiences, focusing on experiences that require a truly „smart“phone. In this talk, I will provide an overview of our projects, including collections of driving information to predict where a driver is going next, collections of communication and movement information from dual-income families to provide support for family scheduling and plan prediction, collections of battery usage information to identify opportune times for large data transfers and processing tasks, and collections of phone interactions to support a wide variety of tasks.
I will also discuss a number of assumptions we make about phone usage that are wrong and will dramatically impact the way we design mobile smart phone applications. In doing so, I will discuss some of the many opportunities and challenges involved in using phones to support everyday human activities, and what it will take to create a truly „smart“ phone.
Anind K. Dey is an Associate Professor in the Human-Computer Interaction Institute at Carnegie Mellon University. He is the director of the Ubicomp Lab, which performs research at the intersection of ubiquitous computing, human-computer interaction and machine learning, in the areas of mobile computing, health and sustainability among others. He has authored over 100 papers on these topics and serves on the editorial board of several journals. Anind received his PhD in computer science from Georgia Tech, along with a Master of Science in both Computer Science and Aerospace Engineering.