Jaime works at the intersection of human computer interaction, information retrieval, and artificial intelligence to help people to work less and do more. Recent efforts include:
Many of the chunks of time we have in a day are too short to bother trying to use productively. Think of the time you spend waiting for a meeting to start, riding in an elevator, or standing in line. We try to defrag our time by booking meetings with ourselves, turning off our phones, and taking email vacations. But there is another way. Rather than fighting fragmentation by changing how we work, we can embrace it by changing our tasks to fit the way we actually do work. We do this by algorithmically breaking large productivity tasks down into a series of smaller microtasks. The component microtasks can then be completed by the task owner via selfsourcing or the crowd via 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.
personal information management)
| || ||Slow Search
We 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 our expectations, 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.
For more about Jaime's research, please see her complete list of publications.