Software Engineering Institute | Carnegie Mellon University
Software Engineering Institute | Carnegie Mellon University

Digital Library

Presentation

Human-Computer Decision Systems

  • October 2015
  • By Brian Lindauer
  • Describes work to use learning theory advances to account for persistent human expert teams and experiments to improve the human-computer decision system
  • Publisher: Software Engineering Institute
  • Abstract

    After examining why current approaches are inadequate, the SEI researchers examined what is needed to know whether a new approach works. They explore these factors: realistic data (class and feature distributions that relate to a transition domain), human participants (actual errors and learning patterns), and ground truth (because we know labelers are fallible).

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Part of a Collection

SEI 2015 Research Review Artifacts