Telme: A Personalized, Context-Aware Communication Support System

  • Authors:
  • Kaoru Sumi;Toyoaki Nishida

  • Affiliations:
  • -;-

  • Venue:
  • IEEE Intelligent Systems
  • Year:
  • 2001

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Abstract

As communications become more global and instantaneous, we have an increasing opportunity to converse with people who live in different cultures, work in different fields, and speak different languages. New communication devices are now in development, including wearable computers and real-time speech translation systems. Even with such translation systems, however, people will still have difficulty understanding each other if they do not have similar background knowledge or experiences.To help remedy this, we developed Telme, a communications support system that acts as a mediator between people with varying levels of knowledge and experience. Telme supports real-time communications by presenting information from a knowledge base customized according to the user's profile and operational records. The system infers the context of the conversation from defined conceptual spaces and the level of the user's knowledge from his/her own conceptual space, which are simple and extensible structures (that is, a set of related keywords). In an experiment, we evaluated and analyzed the appropriateness of Telme in real-time communication support and the effectiveness of presenting assistance information. The system was found to be effective when the user cannot question others directly.