Improving Teamwork Competencies in Human-Machine Teams: Perspectives from Team Science

Kimberly Stowers, Lisa Brady, Christopher J. MacLellan, Ryan Wohleber, Eduardo Salas

Frontiers in Psychology

2021

[DOI]

Abstract

In response to calls for research to improve human-machine teaming (HMT), we present a “perspective” paper that explores techniques from computer science that can enhance machine agents for human-machine teams. As part of this paper, we (1) summarize the state of the science on critical team competencies identified for effective HMT, (2) discuss technological gaps preventing machines from fully realizing these competencies, and (3) identify ways that emerging artificial intelligence (AI) capabilities may address these gaps and enhance performance in HMT. We extend beyond extant literature by incorporating recent technologies and techniques and describing their potential for contributing to the advancement of HMT.

Topics:Human-AI Teaming

Projects:Predicting Effects of HPO Interventions with Socio-Cognitive Agents that Leverage Individual Residuals (TAILOR)

BibTeX

@article{stowers-frontiers-2021,
  title     = {Improving Teamwork Competencies in Human-Machine Teams: Perspectives from Team Science},
  author    = {Stowers, Kimberly and Brady, Lisa and MacLellan, Christopher J. and Wohleber, Ryan and Salas, Eduardo},
  journal   = {Frontiers in Psychology},
  volume    = {12},
  pages     = {590290},
  year      = {2021},
  doi       = {10.3389/fpsyg.2021.590290},
}

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