Information access in context: experiences with the watson system

  • Authors:
  • Kristian J. Hammond;Jerome Louis Budzik

  • Affiliations:
  • -;-

  • Venue:
  • Information access in context: experiences with the watson system
  • Year:
  • 2003

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Abstract

Many activities people perform on their personal computer—reading email from a co-worker, making a PowerPoint presentation for an upcoming meeting, or writing a term paper for a high school class—can be greatly enriched with access to the right information. However, the level of effort required to effectively use existing systems to find useful information often outweighs the perceived benefit of doing so. This thesis is about a software tool called Watson, built to significantly reduce the level of effort required to find information in the context of an ongoing task. Watson works by analyzing the document the user is reading or writing in everyday productivity applications (e.g., word processors, email clients, or presentation managers) so it can automatically retrieve useful information from any networked information repository (e.g., Internet search engines, enterprise knowledge management systems, or custom databases). Using Watson, users can more easily maintain an awareness of available information resources without having to know which data repositories to search, or how to formulate a complex query. In order to better understand Watson's effectiveness as a new kind of information access tool, we performed laboratory evaluations and also developed it for use as a pilot in several commercial settings. The deployment experiences show how the architecture we developed supports flexible adaptation for diverse needs, and also that the software can effectively assist people engaged in real-world tasks.