A Unifying Framework for Human-Agent Collaborative Systems - Part I: Element and Relation Analysis

Jie Chen, Yulong Ding, Bin Xin*, Qingkai Yang, Hao Fang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

The human-agent collaboration (HAC) is a prospective research topic whose great applications and future scenarios have attracted vast attention. In a broad sense, the HAC system (HACS) can be broken down into six elements: 'Man,' 'Agents,' 'Goal,' 'Network,' 'Environment,' and 'Tasks.' By merging these elements and building a relation graph, this article proposes a systematic analysis framework for HACS, and attempts to make a comprehensive analysis of these elements and their relationships. We coin the abbreviation 'MAGNET' to name the framework by stringing together the initials of the above six terms. The framework provides novel insights into analyzing various HAC patterns and integrates different types of HACSs in a unifying way. The presentation of the HACS framework is divided into two parts. This article, part I, presents the systematic analysis framework. Part II proposes a normalized two-stage top-level design procedure for designing an HACS from the perspective of MAGNET.

Original languageEnglish
Pages (from-to)138-151
Number of pages14
JournalIEEE Transactions on Cybernetics
Volume52
Issue number1
DOIs
Publication statusPublished - 1 Jan 2022

Keywords

  • Human-agent collaboration (HAC)
  • human-agent collaborative system (HACS)
  • human-agent teamwork
  • human-robot collaboration (HRC)
  • supervisory control

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