Situation awareness-based agent transparency and human-autonomy teaming effectiveness

  title={Situation awareness-based agent transparency and human-autonomy teaming effectiveness},
  author={J. Chen and Shan G. Lakhmani and K. Stowers and Anthony R. Selkowitz and J. L. Wright and M. Barnes},
  journal={Theoretical Issues in Ergonomics Science},
  pages={259 - 282}
  • J. Chen, Shan G. Lakhmani, +3 authors M. Barnes
  • Published 2018
  • Engineering
  • Theoretical Issues in Ergonomics Science
  • ABSTRACT Effective collaboration between humans and agents depends on humans maintaining an appropriate understanding of and calibrated trust in the judgment of their agent counterparts. The Situation Awareness-based Agent Transparency (SAT) model was proposed to support human awareness in human–agent teams. As agents transition from tools to artificial teammates, an expansion of the model is necessary to support teamwork paradigms, which require bidirectional transparency. We propose that an… CONTINUE READING
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    Publications referenced by this paper.
    Intelligent Agent Transparency in Human–Agent Teaming for Multi-UxV Management
    • 121
    Literature Review of Teamwork Models
    • 72
    • Highly Influential
    • PDF
    Human–Agent Teaming for Multirobot Control: A Review of Human Factors Issues
    • 214
    BDI Agents: From Theory to Practice
    • 3,111
    • PDF
    Toward a Theory of Situation Awareness in Dynamic Systems
    • 6,084
    • PDF
    Trust in Automation: Designing for Appropriate Reliance
    • 938
    • PDF
    Agent Transparency for Human-Agent Teaming Effectiveness
    • 12
    Agent Transparency and the Autonomous Squad Member
    • 18
    Intelligent agents: theory and practice
    • 2,945
    • PDF
    Artificial Intelligence : A Modern Approach
    • 23,451
    • PDF