Task aware information access for diagnosis of manufacturing problems

Authors:
Larry Birnbaum;Wallace Hopp;Seyed Iravani;Kevin Livingston;Biying Shou;Thomas Tirpak
Affiliations:
Northwestern University, Evanston, IL;Northwestern University, Evanston, IL;Northwestern University, Evanston, IL;Northwestern University, Evanston, IL;Northwestern University, Evanston, IL;Realization Research Center Motorola, Schaumburg, IL
Venue:
Proceedings of the 10th international conference on Intelligent user interfaces
Year:
2005

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Abstract

Pinpoint is a promising first step towards using a rich model of task context in proactive and dynamic IR systems. Pinpoint allows a user to navigate decision tree representations of problem spaces, built by domain experts, while dynamically entering annotations specific to their problem. The system then automatically generates queries to information repositories based on both the user's annotations and location in the problem space, producing results that are both task focused and problem specific. Initial feedback from users and domain experts has been positive.