Jaime Teevan, Ph.D.
teevan@microsoft.com
Blog, Twitter: @jteevan
One Microsoft Way
Redmond, WA 98052
(425) 421-9299
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Jaime works at the intersection of human computer interaction, information retrieval, and social media to study and support people's information seeking activities in context. Her current research focuses on:

Microproductivity Concrete plans with actionable steps help people complete their tasks better and faster. However, while task decomposition has traditionally had to be done by hand, we are starting to figure out how to algorithmically break complex tasks all the way down into microtasks that can take as little as a few seconds each to complete. People once believed a skilled craftsman was needed to build a car, but experts figured out how to decompose the task into repeatable subcomponents that could be completed by unskilled workers (and, later, robots). Similarly, while many believe that information tasks can only be performed by skilled information workers, it is possible to pull out the repeatable subcomponents from these tasks to be performed by the task owner (selfsourcing) or the crowd (crowdsourcing). The transformation of information work into microwork will change when and how people work, and enable individuals and automated processes to efficiently and easily complete tasks that currently seem challenging. (See publications: selfsourcing, crowdsourcing, personal information management)
 
Slow Search Web searchers expect search engines to return results instantaneously, and people perceive results that are delivered quickly as higher quality and more engaging than those delivered more slowly. To meet user expectation, search engines make many compromises to shave milliseconds off their response time. It is ironic that a few milliseconds matter so much when over half of our interactions with a search engine involve multiple queries and take minutes or even hours. There is an opportunity to slow the search experience down and help searchers take the necessary time to learn as they search, gather information from multiple sources, and explore tangents, as well as to algorithmically identify high quality, personally relevant information over extended periods of time. (See publications: slow search, personalized search, re-finding, social search)

For more information, please see Jaime's complete list of publications.