Out of many, one: reliable results from unreliable recognition

  • Authors:
  • Henry Lieberman

  • Affiliations:
  • MIT, Cambridge, MA

  • Venue:
  • CHI '02 Extended Abstracts on Human Factors in Computing Systems
  • Year:
  • 2002

Quantified Score

Hi-index 0.00

Visualization

Abstract

Recognition technologies such as speech recognition and optical recognition are still, by themselves, not reliable enough for many practical uses in user interfaces. However, by combining input from several sources, each of which may be unreliable by itself, and with knowledge of a specific task and context that the user is engaged in, we might achieve enough recognition to provide useful results. We describe a preliminary experiment to assist the user in giving directions for urban navigation by combining partial results from unreliable speech recognition and unreliable visual recognition.