Dynamic Task Allocation Theories for Pilot Associate Systems

A theoretical paper by Richard R. Sherry of Pennsylvania State University explores dynamic task allocation between humans and intelligent machines. It reviews previous theories of static task allocation and human performance during multitasking and interruptions. The work uses these results to provide suggestions for designing systems that perform dynamic task allocation, specifically within the context of a pilot's associate system.

Use Cases

• Designing high-level intelligent controllers based on suggestions for dynamic task allocation.
• Modeling pilot performance and task prediction within a cognitive architecture.
• Informing the development of adaptive automation systems for aviation or similar domains.

Strengths

• Authored by a researcher from Pennsylvania State University, suggesting academic rigor.
• Builds upon established work on static task allocation and human performance theories.

Limitations

• The dataset appears to be a theoretical paper; the availability and format of underlying data are unknown.
• Row count, column definitions, and file formats are unspecified, limiting suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Pennsylvania State University

Collection Method

Theoretical synthesis and review of previous work.