Paper Info
Title
Human-Agent Teaming for Effective Multirobot Management: Effects of Agent Transparency.
Abstract
The U.S. Army Research Laboratory is engaged in a multi-year program focusing on the human role in supervising autonomous vehicles. We discuss this research with regard to patterns of human/intelligent agent (IA) interrelationships, and explore the dynamics of these patterns in terms of supervising multiple autonomous vehicles. The first design pattern focuses on a human operator controlling multiple autonomous vehicles via a single IA. The second design pattern involves multiple intelligent systems including (a) human operator, (b) IA-asset manager, (c) IA-planning manager, (d) IA-mission monitor, and (e) multiple autonomous vehicles. Both scenarios require a single operator to control multiple heterogeneous autonomous vehicles, and yet the complexity of both the mission variables and the relations among the autonomous vehicles makes efficient operations by a single operator difficult at best. Key findings of two recent research programs are summarized with an emphasis on their implications for developing future systems with similar design patterns. Our conclusions stress the importance of operator situation awareness, not only of the immediate environment, but also of the IA's intent, reasoning and predicted outcomes.
Year
DOI
Venue
2016
10.1007/978-3-319-40030-3_18
Lecture Notes in Artificial Intelligence
Keywords
Field
DocType
Intelligent agents,Transparency,Patterns of human-agent interaction,Human factors,Supervisory control
Transparency (graphic),Intelligent agent,Intelligent decision support system,Computer science,Situation awareness,Supervisory control,Simulation,Software design pattern,Human–computer interaction,Operator (computer programming),Design pattern
Conference
Volume
ISSN
Citations 
9736
0302-9743
0
PageRank 
References 
Authors
0.34
6
4
Name
Order
Citations
PageRank
Michael Barnes19610.31
Jessie Y.C. Chen2788.71
Julia Wright332.42
Kimberly Stowers432.21