Effectiveness of RoboLeader for Dynamic Re-Tasking in an Urban Environment

Abstract

RoboLeader is an intelligent agent that has the capabilities of coordinating a team of ground robots and revising route plans for the robots based on battlefield intelligence. Specifically, RoboLeader can support dynamic re-tasking based on battlefield developments as well as coordination between aerial and ground robots in pursuit of moving targets. In the current study, we manipulated the level of automation for RoboLeader as well as the presence of a visualization tool (which informed the participants about their target entrapment performance) in the RoboLeader user interface. Results showed that RoboLeader (Fully Automated condition) was more effective in encapsulating the moving targets than were the human operators (when they were either without assistance from RoboLeader or when they were partially assisted by RoboLeader). Participants successfully encapsulated the moving targets only 63% of the time in the Manual condition but 89% of the time when they were assisted by RoboLeader. Those participants who play video games frequently demonstrated significantly better encapsulation performance than did infrequent gamers; they also had better situation awareness of the mission environment. Visualization had little effect on participants’ performance. Finally, participants reported significantly higher workload when they were in the Manual condition than when they were assisted by RoboLeader.

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References

Chen

J. Y. C.

Barnes

M. J.

(2010). Supervisory control of robots using RoboLeader. Proceedings of HFES 54th Annual Meeting (pp. 1483-1487), San Francisco, Sep. 27- Oct. 1, 2010.

Chen

J. Y. C.

Barnes

M. J.

(2011). RoboLeader: Dynamic re-tasking for persistence surveillance in an urban environment using robot-to-robot control (ARL Memorandum Report ARL-MR-0761). Aberdeen Proving Ground, MD: U.S. Army Research Laboratory.

Chen

J. Y. C.

Durlach

Sloan

Bowens

(2008). Human robot interaction in the context of simulated route reconnaissance missions. Military Psychology, 20(3), 135-149.

Chen

J. Y. C.

Haas

E. C.

Barnes

M. J.

(2007). Human performance issues and user interface design for teleoperated robots. IEEE Transactions on Systems, Man, and Cybernetics–Part C: Applications and Reviews, 37(6), 1231-1245.

Chen

J. Y. C.

Joyner

(2009). Concurrent performance of gunner’s and robotic operator’s tasks in a multi-tasking environment. Military Psychology, 21(1), 98-113.

Chen

J. Y. C.

Terrence

(2008). Effects of tactile cueing on concurrent performance of military and robotics tasks in a simulated multi-tasking environment. Ergonomics, 51, 1137-1152.

Derryberry

Reed

(2002). Anxiety-related attentional biases and their regulation by attentional control. Journal of Abnormal Psychology, 111, 225-236.

Ekstrom

French

Harman

(1976). Kit of factor-referenced cognitive tests. Princeton, NJ: ETS.

Green

C. S.

Bavelier

(2006). Enumeration versus multiple object tracking: The case of action video game players. Cognition, 101(1), 217-245.

10.

Gugerty

Brooks

(2004). Reference-frame misalignment and cardinal direction judgments: Group differences and strategies. Journal of Experimental Psychology: Applied, 10, 75-88.

11.

Hart

Staveland

(1988). Development of NASA TLX (Task Load Index): Results of Empirical and Theoretical Research. In Hancock

Meshkati

(Eds.), Human Mental Workload (pp. 139-183). Amsterdam: Elsevier.

12.

Linegang

Stoner

Patterson

Seppelt

Hoffman

Crittendon

Lee

(2006). Human-automation collaboration in dynamic mission planning: A challenge requiring an ecological approach. Proceedings of the 50th HFES Annual Meeting (pp. 2482-2486).

13.

McKinley

McIntire

Funke

(2010). Operator selection for unmanned aerial vehicles: A comparison of video game players and manned aircraft pilots. Aviation, Space, and Environmental Medicine, 81, 336.

14.

Schurr

(2007). Toward Human-Multiagent Teams. Unpublished Dissertation, University of Southern California.

15.

Stubbs

Wettergreen

Nourbakhsh

(2008). Using a robot proxy to create common ground in exploration tasks. Proc. 3rd ACM/IEEE Int. Conf. on Human-Robot Interaction (pp. 375–382). Amsterdam, the Netherlands (Mar 12-15, 2008).

16.

Triplett

(2008). The effects of commercial video game playing: A comparison of skills and abilities for the Predator UAV. Unpublished thesis. US Air Force - Air University.

17.

Wang

Lewis

(2008). Assessing cooperation in human control of heterogeneous robots. Proc. 3rd ACM/IEEE Int. Conf. on Human-Robot Interaction (pp. 9-15). Amsterdam, the Netherlands (Mar 12-15, 2008).

18.

Wang

Lewis

Velagapudi

Scerri

Sycara

(2009). How search and its subtasks scale in N robots. Proc. 4th ACM/IEEE Int. Conf. on Human-Robot Interaction (pp. 141-147). La Jolla, CA (Mar 10-13, 2009).