Task aware information access for diagnosis of manufacturing problems

Lawrence A Birnbaum*, Wallace Hopp, Seyed MR Iravani, Kevin Livingston, Biying Shou, Thomas Tirpak

*Corresponding author for this work

Research output: Contribution to conferencePaper

1 Scopus citations

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 useris 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.

Original languageEnglish (US)
Pages308-310
Number of pages3
DOIs
StatePublished - Dec 1 2005
EventIUI 05 - 2005 International Conference on Intelligent User Interfaces - San Diego, CA, United States
Duration: Jan 9 2005Jan 12 2005

Other

OtherIUI 05 - 2005 International Conference on Intelligent User Interfaces
CountryUnited States
CitySan Diego, CA
Period1/9/051/12/05

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Keywords

  • Dynamic information retrieval
  • User task and context modeling

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction

Cite this

Birnbaum, L. A., Hopp, W., Iravani, S. MR., Livingston, K., Shou, B., & Tirpak, T. (2005). Task aware information access for diagnosis of manufacturing problems. 308-310. Paper presented at IUI 05 - 2005 International Conference on Intelligent User Interfaces, San Diego, CA, United States. https://doi.org/10.1145/1040830.1040909