CSAIL Event Calendar: Previous Series
TaskTracer and Smart Desktop: Combining Activity Tracking with Machine Learning to Support Multi-tasking Information Workers
Speaker: Jon Herlocker , Oregon State University and Smart Desktop, Inc.
Relevant URL: http://eecs.oregonstate.edu/TaskTracer
A significant portion of todayís highly information workerís life is spent in overhead: in particular trying to restore the context of a task, or re-find/re-access resources previously accessed. As the level of multitasking increases, information workers experience greater cognitive demand and greater overhead managing their activities and information across all their tasks. The TaskTracer research project at Oregon State University has been investigating the design of a software system to support multi-tasking information workers. The core vision of TaskTracer is to build software that understands that each user segments their life into tasks (contexts) that are personal to them; and knows, at every point in the interaction, which task the user is currently working on. TaskTracer combines tracking of interaction history with machine learning to adaptively learn models of the userís tasks. TaskTracerís user interface supports the user in getting to files faster, tracking time spent on tasks, organizing information, and recovering task context. The TaskTracer system is currently being commercialized under the name Smart Desktop. In this talk I will present an overview of TaskTracer research, discuss the challenges of integrating machine learning into the UI of an end-user product, talk about what Iíve learned while leading the product engineering team that is attempting to turn a research prototype into a commercial product, and do a short demonstration of Smart Desktop.