TY - JOUR
T1 - Impact of Transparency and Explanations on Trust and Situation Awareness in Human–Robot Teams
AU - Ezenyilimba, Akuadasuo
AU - Wong, Margaret
AU - Hehr, Alexander
AU - Demir, Mustafa
AU - Wolff, Alexandra
AU - Chiou, Erin
AU - Cooke, Nancy
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was partially supported by a grant from the Air Force Office of Scientific Research [FA9550-18-1-0067].
Publisher Copyright:
© Copyright 2022, Human Factors and Ergonomics Society.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - human robot teams
KW - robot explanations
KW - robot transparency
KW - situation awareness
KW - trust in robot
KW - urban search and rescue
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U2 - 10.1177/15553434221136358
DO - 10.1177/15553434221136358
M3 - Article
AN - SCOPUS:85142217122
SN - 1555-3434
JO - Journal of Cognitive Engineering and Decision Making
JF - Journal of Cognitive Engineering and Decision Making
ER -