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

Frontiers in Psychology

Kimberly Stowers¹  Lisa L. Brady¹  Christopher MacLellan²  Eduardo Salas³  Ryan Wohleber⁴ 

[1] College of Business, The University of Alabama, Tuscaloosa, AL, United States;College of Computing and Informatics, Drexel University, Philadelphia, PA, United States;School of Social Sciences, Rice University, Houston, TX, United States;Soar Technology, Inc., Ann Arbor, MI, United States;

关键词: human-machine team;    artificial intelligence;    third wave AI;    explainable AI;    teamwork;   

DOI  :  10.3389/fpsyg.2021.590290

来源: Frontiers

【 摘 要 】

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.

【 授权许可】

CC BY