Skip to main content

Human-AI Teaming State-of-the-Art and Research Needs (2022) / Chapter Skim
Currently Skimming:

4 Situation Awareness in Human-AI Teams
Pages 25-30

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 25...
... The high data load affects not only the SA of individuals, but also the formation of accurate SA across the team of human operators, who may come from very different operational backgrounds and specializations and may be performing different operational roles. Team SA is defined as "the degree to which every team member has the SA required for his or her responsibilities" (Endsley, 1995b, p.
Read the entire page →
From page 26...
... . Related to team SA, shared SA is "the degree to which team members possess the same SA on shared SA requirements" (Endsley and Jones, 2001, p.
Read the entire page →
From page 27...
... . SHARED SA IN HUMAN-AI TEAMS With the move toward the expectation that AI will function as a teammate as opposed to simply a tool, a new emphasis on the importance of creating effective team SA and shared SA within the human-AI team arises (Shively et al., 2017; USAF, 2015)
Read the entire page →
From page 28...
... team SA requirements, including methodologies for determining both individual and shared SA needs; (2) team devices, 1 AIself-awareness in this sense means only its ability to track its own performance and capabilities and does not imply any form of consciousness.
Read the entire page →
From page 29...
... These gaps exist in • Methods for improving human SA of AI systems; • Methods for improving shared SA of relevant information between human and AI teammates, across diverse types of teams, tasks, and timescales; • The ability of an AI system's awareness of the human teammate to improve coordination and collaboration, and best methods for implementation; • The effectiveness of an AI system's self-awareness for improving human-AI coordination; and • The development of AI situation models to support robust decision making and human-AI coordination. Research Needs The committee recommends addressing five outstanding research objectives for developing effective SA and shared SA in human-AI teams.
Read the entire page →
From page 30...
... This research is directly applicable to MDO, and detailed design guidance on improving SA using automated systems and AI has been established. In addition, models and methods for supporting team and shared SA in human-human teams have been developed, which can be applied to human-AI teams.
Read the entire page →

Key Terms

  • mental models
  • situation models
  • research objective
  • team performance
  • team situation

  • shared situation
  • shared mental
  • human situation
  • support team
  • team mental

  • improving shared
  • situation understanding
  • team processes
  • information displays
  • research objectives

  • effective methods
  • task environment
  • recommends addressing
  • explicitly support
  • functional assignments

  • supporting shared
  • support situation
  • effective team
  • improving human
  • establishing team

  • robust situation
  • support task
  • smooth team
  • combined situation
  • team cohesion


    • This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
    More information on Chapter Skim is available.