Do users tolerate errors from their assistant?: experiments with an E-mail classifier

  • Authors:
  • Jean-David Ruvini;Jean-Marc Gabriel

  • Affiliations:
  • E-Lab Bouygues, St Quentin en Yvelines, France;E-Lab Bouygues, St Quentin en Yvelines, France

  • Venue:
  • Proceedings of the 7th international conference on Intelligent user interfaces
  • Year:
  • 2002

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Abstract

Smartlook, an e-mail classifier assistant, helps users filing their e-mails into folders. For a given message, it predicts the six most likely folders for that message and provides shortcut buttons that facilitate filing into one of the predicted folders. In this paper, we report results from user tests that show that although Smartlook does not achieve 100% prediction accuracy, a small percentage of errors does not hurt since users tolerate some errors from such an assistant.