Research Output
Human-machine design considerations in advanced machine-learning systems
  This paper explores issues related to human–computer interaction with the new class of machine-learning systems that represent an exciting development on the frontiers of information technology. These systems represent a significant breakthrough in humanity's decades-long endeavor to build computers that are “more like us”—fundamentally designed to map to and support human abilities and where the needs of people are central to the design process. This paper examines the human aspects of developing such new technology, with a focus on question-and-answer machine-learning systems. Considerations such as how human behavior should be addressed in the design and development of such systems are presented, followed by a series of potential application domains for the new technology.

  • Type:

    Article

  • Date:

    03 October 2011

  • Publication Status:

    Published

  • Publisher

    IBM

  • DOI:

    10.1147/JRD.2011.2163274

  • ISSN:

    0018-8646

  • Library of Congress:

    QA76 Computer software

  • Dewey Decimal Classification:

    005.4 Systems programming and programs

  • Funders:

    Historic Funder (pre-Worktribe)

Citation

Keates, S., Varker, P., & Spowart, F. (2011). Human-machine design considerations in advanced machine-learning systems. IBM Journal of Research and Development, 55(5), 4:1-4:10. https://doi.org/10.1147/JRD.2011.2163274

Authors

Keywords

Human machine design considerations, advanced machine-learning systems, Behavioral science, Global Positioning System, Human computer interaction, Knowledge based systems, Machine learning, User interfaces, Web search

Monthly Views:

Available Documents