Trust and Team Performance in Human–Autonomy Teaming

Nathan J. McNeese, Mustafa Demir, Erin K. Chiou, Nancy J. Cooke

Research output: Contribution to journalArticlepeer-review

Abstract

This study aims to better understand trust in human–autonomy teams, finding that trust is important for team performance. A Wizard of Oz approach was used to simulate an autonomous agent team member, in a remotely piloted aircraft system research environment, to study the relationship between trust and team performance in human–autonomy teams. Results show that (1) there are lower levels of trust in the autonomous agent in low-performing teams compared with medium- or high-performing teams; (2) there is a loss of trust in the autonomous agent over time across low-, medium-, and high-performing teams; and (3) both low- and medium-performing teams indicated lower levels of trust in their human team members. These findings indicate that trust in a teammate (autonomous or human) is associated with team performance and that trust may evolve over time irrespective of team performance.

Original languageEnglish (US)
Pages (from-to)51-72
Number of pages22
JournalInternational Journal of Electronic Commerce
Volume25
Issue number1
DOIs
StatePublished - 2021

Keywords

  • Human–agent interaction
  • human–autonomy teaming
  • team performance
  • teamwork
  • trust

ASJC Scopus subject areas

  • Business and International Management
  • Economics and Econometrics

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