Situation Awareness-Based Agent Transparency For Human-Autonomy Teaming Effectiveness

Keywords

autonomy; human-machine teaming; human-robot interaction; situation awareness; transparency

Abstract

We developed the Situation awareness-based Agent Transparency (SAT) model to support human operators' situation awareness of the mission environment through teaming with intelligent agents. The model includes the agent's current actions and plans (Level 1), its reasoning process (Level 2), and its projection of future outcomes (Level 3). Human-inthe-loop simulation experiments have been conducted (Autonomous Squad Member and IMPACT) to illustrate the utility of the model for human-autonomy team interface designs. Across studies, the results consistently showed that human operators' task performance improved as the agents became more transparent. They also perceived transparent agents as more trustworthy.

Publication Date

1-1-2017

Publication Title

Proceedings of SPIE - The International Society for Optical Engineering

Volume

10194

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1117/12.2263194

Socpus ID

85024403809 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85024403809

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