Impact of Transparency and Explanations on Trust and Situation Awareness in Human–Robot Teams

Akuadasuo Ezenyilimba, Margaret Wong, Alexander Hehr, Mustafa Demir, Alexandra Wolff, Erin Chiou, Nancy Cooke

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Urban Search and Rescue (USAR) missions continue to benefit from the incorporation of human–robot teams (HRTs). USAR environments can be ambiguous, hazardous, and unstable. The integration of robot teammates into USAR missions has enabled human teammates to access areas of uncertainty, including hazardous locations. For HRTs to be effective, it is pertinent to understand the factors that influence team effectiveness, such as having shared goals, mutual understanding, and efficient communication. The purpose of our research is to determine how to (1) better establish human trust, (2) identify useful levels of robot transparency and robot explanations, (3) ensure situation awareness, and (4) encourage a bipartisan role amongst teammates. By implementing robot transparency and robot explanations, we found that the driving factors for effective HRTs rely on robot explanations that are context-driven and are readily available to the human teammate.

Original languageEnglish (US)
Pages (from-to)75-93
Number of pages19
JournalJournal of Cognitive Engineering and Decision Making
Volume17
Issue number1
DOIs
StatePublished - Mar 2023

Keywords

  • human robot teams
  • robot explanations
  • robot transparency
  • situation awareness
  • trust in robot
  • urban search and rescue

ASJC Scopus subject areas

  • Human Factors and Ergonomics
  • Engineering (miscellaneous)
  • Applied Psychology
  • Computer Science Applications

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