Exploration of the Impact of Interpersonal Communication and Coordination Dynamics on Team Effectiveness in Human-Machine Teams

Mustafa Demir, Myke Cohen, Craig J. Johnson, Erin K. Chiou, Nancy J. Cooke

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Teams composed of human and machine members operating in complex task environments must effectively interact in response to information flow while adapting to environmental changes. This study investigates how interpersonal coordination dynamics between team members are associated with team performance and shared situation awareness in a simulated urban search and rescue (USAR) task. More specifically, this study investigates (1) how communication recurrence affected and reflected coordination dynamics between a USAR robot and human operator when they used different communication strategies, and (2) how these dynamic characteristics of the human–robot interpersonal coordination were associated with the team performance and shared situation awareness. The USAR interpersonal coordination dynamics were systematically characterized using discrete recurrence quantification analysis. Results from this study indicate that (1) teams demonstrating more flexibility in their coordination dynamics were more adaptive to changes in the task environment, and (2) while robot explanations help to improve shared situation awareness, revisiting the same communication pattern (i.e., routine coordination) was associated with better team performance, but did not improve shared situation awareness.

Original languageEnglish (US)
Pages (from-to)1841-1855
Number of pages15
JournalInternational Journal of Human-Computer Interaction
Volume39
Issue number9
DOIs
StatePublished - 2023

ASJC Scopus subject areas

  • Human Factors and Ergonomics
  • Human-Computer Interaction
  • Computer Science Applications

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