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Journal article
Improving Teamwork Competencies in Human-Machine Teams: Perspectives From Team Science
Frontiers in psychology, v 12, pp 590290-590290
24 May 2021
PMID: 34108903
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.
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Details
- Title
- Improving Teamwork Competencies in Human-Machine Teams: Perspectives From Team Science
- Creators
- Kimberly Stowers - University of AlabamaLisa L. Brady - University of AlabamaChristopher MacLellan - Drexel UniversityRyan Wohleber - Soar Technology, Inc., Ann Arbor, MI, United States.Eduardo Salas - Rice University
- Publication Details
- Frontiers in psychology, v 12, pp 590290-590290
- Publisher
- Frontiers Media S.A
- Grant note
- HR00111990055 / DARPA TAILOR program
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000658296100001
- Scopus ID
- 2-s2.0-85107363051
- Other Identifier
- 991019168483404721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Psychology, Multidisciplinary