Modeling Human Guidance Behavior Based on Patterns in Agent-Environment Interactions
This paper presents the foundations for the analysis and modeling of human guidance behavior that is based on the emergent patterns in the closed-loop agent-environment dynamics. The central hypothesis is that these patterns, which can be explained in terms of invariants inherent to the closed-loop...
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| Veröffentlicht in: | IEEE transactions on human-machine systems 2013-07, Vol.43 (4), p.371-384 |
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| container_title | IEEE transactions on human-machine systems |
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| creator | Zhaodan Kong Mettler, B. |
| description | This paper presents the foundations for the analysis and modeling of human guidance behavior that is based on the emergent patterns in the closed-loop agent-environment dynamics. The central hypothesis is that these patterns, which can be explained in terms of invariants inherent to the closed-loop dynamics, provide the building blocks for the organization of human guidance behavior. The concept of interaction patterns is first introduced using a toy example and then detailed formally using dynamical system and control principles. This paper then demonstrates the existence and significance of interaction patterns in human guidance behavior that is based on data collected using guidance experiments with a miniature helicopter. The results confirm that human guidance behavior indeed exhibits invariances as defined by interaction patterns. The trajectories that are associated with each interaction pattern are then further decomposed by applying piecewise linear identification. The resulting elements are then combined under a hierarchical model that provides a natural and formal description of human guidance behavior. |
| doi_str_mv | 10.1109/TSMC.2013.2262043 |
| format | Article |
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The central hypothesis is that these patterns, which can be explained in terms of invariants inherent to the closed-loop dynamics, provide the building blocks for the organization of human guidance behavior. The concept of interaction patterns is first introduced using a toy example and then detailed formally using dynamical system and control principles. This paper then demonstrates the existence and significance of interaction patterns in human guidance behavior that is based on data collected using guidance experiments with a miniature helicopter. The results confirm that human guidance behavior indeed exhibits invariances as defined by interaction patterns. The trajectories that are associated with each interaction pattern are then further decomposed by applying piecewise linear identification. 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The central hypothesis is that these patterns, which can be explained in terms of invariants inherent to the closed-loop dynamics, provide the building blocks for the organization of human guidance behavior. The concept of interaction patterns is first introduced using a toy example and then detailed formally using dynamical system and control principles. This paper then demonstrates the existence and significance of interaction patterns in human guidance behavior that is based on data collected using guidance experiments with a miniature helicopter. The results confirm that human guidance behavior indeed exhibits invariances as defined by interaction patterns. The trajectories that are associated with each interaction pattern are then further decomposed by applying piecewise linear identification. The resulting elements are then combined under a hierarchical model that provides a natural and formal description of human guidance behavior.</description><subject>Applied sciences</subject><subject>Behavioral science</subject><subject>Biological and medical sciences</subject><subject>Biological control system</subject><subject>Biological system modeling</subject><subject>Cognition. Intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Computer systems and distributed systems. User interface</subject><subject>control system</subject><subject>Control systems</subject><subject>Dynamic tests</subject><subject>Dynamical systems</subject><subject>Dynamics</subject><subject>Exact sciences and technology</subject><subject>formal language</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects</subject><subject>Human</subject><subject>Human factors</subject><subject>Invariants</subject><subject>Mathematical models</subject><subject>Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)</subject><subject>Miniature</subject><subject>Natural language processing</subject><subject>Pattern recognition</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychology. Psychophysiology</subject><subject>Reasoning. 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| subjects | Applied sciences Behavioral science Biological and medical sciences Biological control system Biological system modeling Cognition. Intelligence Computer science control theory systems Computer systems and distributed systems. User interface control system Control systems Dynamic tests Dynamical systems Dynamics Exact sciences and technology formal language Fundamental and applied biological sciences. Psychology General aspects Human Human factors Invariants Mathematical models Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Miniature Natural language processing Pattern recognition Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Reasoning. Problem solving Software |
| title | Modeling Human Guidance Behavior Based on Patterns in Agent-Environment Interactions |
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