Agent-Based Human-Robot Interaction Simulation Model for the Analysis of Operator Performance in the Supervisory Control of UGVs

다국어 초록 (Multilingual Abstract)

Unmanned ground vehicles (UGVs) are most commonly characterized as dealing with “3D” tasks – dull, dirty, and dangerous with automations. Although most of the UGVs are designed to a high degree of autonomy, human operators will still intervene in the robot operations and tele-operate them to achieve their missions. Thus, operator capacity, together with robot autonomy and user interface, is one of the important design factors in research and development (R&D) of UGVs. This paper presents the implementation of an agent-based human-robot interaction simulation model (called “HRISim”). HRISim was developed to analyze operator capacity of UGVs and its resulting mission effectiveness in the supervisory control of UGVs. HRISim incorporates 1) UGV mission scenario, 2) operator’s task processes, human resources (visual, auditory, cognition, psychomotor), and associated user interface, 3) UGV automation level, such as autonomous unmanned operation, autonomous manned operation, and autonomous command & control operation, together with UGV functionalities including move, fire, and rescue. We further demonstrate some experimental results to show its applicability to the resolution of practical problems to be evaluated during R&D of UGVs.

참고문헌 (Reference)

1 Sheridan, T. B., "The System Perspective on Human Factors in Aviation" in: Human Ractors in Aviation" Academic Press 23-63, 2010

2 Brett, B. E., "The Combat Automation Requirements Testbed (Cart) Task 1 Final Report: Implementation Concepts and an Example" Defense Technical Information Center 2000

3 Borshchev, A., "The Big Book of Simulation Modeling" 60-63, 2013

4 Rasmussen, J., "Skills, Rules, and Knowledge; Signals, Signs, and Symbols, and other Distinctions in Human Performance Models" SMC-13 (SMC-13): 257-266, 1983

5 Wickens, C. D., "Processing Resources and Attention" 1991 : 3-34, 1991

6 Rothenberg, J., "Object-Oriented Simulation: where do we Go from Here?" 464-469, 1986

7 Pew, R. W., "Modeling Human and Organizational Behavior: Application to Military Simulations" National Academies Press 1998

8 Macal, C. M., "Introductory Tutorial: Agent-Based Modeling and Simulation" 362-376, 2013

9 Carson, I., "Introduction to Modeling and Simulation" 9-16, 2004

10 Hollister, W. M., "Improved Guidance and Control Automation at the Man-Machine Interface;Advisory Group for Aerospace Research and Development Neuilly-Sur-Seine (France), Accession No. ADA 177651" 1986

11 Hendy, K. C., "Implementing a Model of Human Information Processing in a Task Network Simulation Environment, Technical Report DCIEM No. 97-R-71" Department of National Defence Canada, Defence & Civil Institute of Environmental Medicine 1997

12 Keller, J., "Human performance modeling for Discrete-Event Simulation: Workload" 157-162, 2002

13 Galster, S., "Human Automation Integration;Uninhabited Military Vehicles (UMVs): Human Factors Issues in Augmenting the Force, The Research and Technology Orgnisation (RTO), Nato Otan, Chap. 7" 2007

14 Karr, C. R., "Conceptual Modeling in Onesaf Objective System (OOS)" 2005

15 Wiener, E. L., "Cockpit Automation;Human Factors in Aviation," Elsevier 433-461, 1988

16 "AnyLogic Homepage"

17 McCrasken, J., "Analysis of Selected LHX Mission Functions: Implications for Operator Workload and System Automation Goals, Technical Note ASI479-024-84" Army Research Institute Aviation Research and Development Activity 1984

18 Parasuraman, R., "A Model for Types and Levels of Human Interaction with Automation" 30 (30): 286-297, 2000