In this paper we conduct an exploratory experiment on context restoration in multi-tasking dialogue and report our preliminary findings. We examine a corpus of human-human dialog...
We propose a new document summarization algorithm which is personalized. The key idea is to rely on the attention (reading) time of individual users spent on single words in a doc...
Using content-specific models to guide information retrieval and extraction can provide richer interfaces to endusers for both understanding the context of news events and navigat...
Earl J. Wagner, Jiahui Liu, Larry Birnbaum, Kennet...
While recommender systems tell users what items they might like, explanations of recommendations reveal why they might like them. Explanations provide many benefits, from improvi...
We demonstrate Parakeet – a continuous speech recognition system for mobile touch-screen devices. Parakeet’s interface is designed to make correcting errors easy on a handheld...
We present Parakeet, a system for continuous speech recognition on mobile touch-screen devices. The design of Parakeet was guided by computational experiments and validated by a u...
We all encounter many documents on a daily basis that we do not have time to process in their entirety. Nevertheless, we lack good tools to rapidly skim and identify key informati...
The TaskTracer system allows knowledge workers to define a set of activities that characterize their desktop work. It then associates with each user-defined activity the set of ...
Jianqiang Shen, Jed Irvine, Xinlong Bao, Michael G...
We present a game-based interface for acquiring common sense knowledge. In addition to being interactive and entertaining, our interface guides the knowledge acquisition process t...
Robert Speer, Jayant Krishnamurthy, Catherine Hava...
Numerous techniques exist to help users automate repetitive tasks; however, none of these methods fully support enduser creation, use, and modification of the learned tasks. We pr...
Aaron Spaulding, Jim Blythe, Will Haines, Melinda ...