Human Decisionmaking in Dynamic Environments with Increasing Information Processing Demands,
Abstract
This article describes the Dynamic Decision Model (DDM) which is a normative-descriptive model that has shown to provide an excellent representation of human information processing and decisionmaking in a dynamic multi-task environment. A sensitivity study was performed on the DDM in an attempt to explore the nature by which various dynamic task attributes affect human performance. In particular, changes in parameters such as the number of concurrent tasks, task velocity, task processing time and task value, were investigated in conjunction with existing notions concerning human operator workload. This global approach not only emphasizes the performance level the human operator may attain but also the tactics and strategies he uses to achieve it.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1983
- Accession Number
- ADP002884
Entities
People
- D. L. Kleiman
- D. Serfaty
- E. P. Soulsby
Organizations
- University of Connecticut