Guest Editorial: Agent and System Transparency

IEEE Transactions on Human-Machine Systems, vol. 50, pp. 189–193

Abstract

The eight papers in this special issue focus on agent and system transparency in human-machine systems. The concept of transparency is investigated in a variety of contexts of human agent interaction—from a single robot to multiple heterogeneous agents and swarms. Two studies examine the effects of individual and cultural differences and, based on the compelling results, provide design recommendations related to transparent interfaces. One of the papers provides a thorough review on theoretical aspects of agent transparency and empirical findings on operator performance, situation awareness, trust and workload, among other outcomes. These measures are also among some of the most common metrics reported in studies in this special issue.

Authors 4

1. Jessie Y. C. Chen

   United States Department of the Army · United States Army Combat Capabilities Development Command · United States Army

   Affiliation as printed

   Development Command, Army Research Laboratory, U.S. Army Combat Capabilities, USA

2. Frank Ole Flemisch Aachen Fraunhofer FKIE Wachtberg/Bonn

   Fraunhofer Institute for Communication, Information Processing and Ergonomics · RWTH Aachen University

   Affiliation as printed

   Fraunhofer FKIE Wachtberg/Bonn, RWTH Aachen University, Aachen, Germany

3. Joseph B. Lyons

   United States Air Force Research Laboratory · Wright-Patterson Air Force Base

   Affiliation as printed

   Wright-Patterson AFB, U.S. Air Force Research Laboratory, USA

4. Mark A. Neerincx

   Netherlands Organisation for Applied Scientific Research · Delft University of Technology

   Affiliation as printed

   TNO Netherlands Organization of Applied Research, Delft University of Technology, DE Soesterberg, The Netherlands