Human–machine computing

Zhiwen Yu, Qingyang Li, Fan Yang, Bin Guo

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Nowadays, machines like computers and mobile devices are developing towards having human-like behaviors and thoughts. However, they are unable to completely replace humans because of the high levels of uncertainty and vulnerability. It is expedient to combine humans and machines to complement disadvantages of each other. The previous computing methods are lack of a general definition and framework for combining humans and machines in a dynamic environment. This paper proposes a new concept on cooperation between humans and machines that can give more meaningful inspiration for future development of the filed; we call the proposed computing paradigm human–machine computing (HMC). HMC aims to provide a general framework for machines and humans working on a task interactively in an evolving environment, such that machines achieve optimized performance under human guidance during the computing procedure. In this paper, we describe HMC from six perspectives: definition, framework, challenges, technologies, comparisons, and case studies.

Original languageEnglish
JournalCCF Transactions on Pervasive Computing and Interaction
Volume3
Issue number1
DOIs
StatePublished - Mar 2021

Keywords

  • Computing paradigm
  • Human–machine collaboration
  • Human–machine operating system
  • Hybrid human–machine system

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