Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TSMC.2013.2262043 | IEEE T. Human-Machine Systems |
Keywords | Field | DocType |
human guidance behavior analysis,control system,dynamical system,interaction patterns concept,human factors,control principle,dynamics,agent-environment interaction,miniature helicopter,multi-agent systems,human guidance behavior modeling,behavioural sciences,closed-loop agent-environment dynamics,formal language,biological control system,guidance experiment,hierarchical model,multi agent systems,pattern recognition,control systems,behavioral science,natural language processing | Computer science,Theoretical computer science,Multi-agent system,Artificial intelligence,Control system,Hierarchical database model,Piecewise linear function,Dynamical system,Formal language,Simulation,Behavioural sciences,Invariant (mathematics),Machine learning | Journal |
Volume | Issue | ISSN |
43 | 4 | 2168-2291 |
Citations | PageRank | References |
8 | 0.72 | 12 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Z. Kong | 1 | 303 | 19.21 |
| Bérénice Mettler | 2 | 69 | 9.87 |