Development of Neurophysiological and Behavioral Metrics of Human Performance.
Abstract
The purpose of this program is to develop metrics derived from multidimensional behavioral and neurophysiological indices which may ultimately be applied across a wide range of tasks to describe and predict human performance. This year's effort represented two different approaches to this problem: the development of a methodology for examining clutter factors that affect target identification, and the evaluation of Catastrophe Theory as a potential metric for describing discontinuities in human behavior. Initial analysis of the behavioral data has been computed and is reported here. It is clear that the system provides a powerful, flexible tool for study of visual clutter. A large representative bibliography of application of Catastrophe Theory has been compiled and is part of this report. Evaluation of the usefulness of Catastrophe Theory as a metric for predicting human performance is clear at this time. The theory allows qualitative construction of models which reflect the behavior of systems in which discontinuities are observed, but at present does not allow quantative, predictive modeling of such systems. At present, then, Catastrophe Theory would not seem to be suitable for generating predictive metrics of human performance.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 30, 1977
- Accession Number
- ADA053018
Entities
People
- Samuel L. Moise Jr.
Organizations
- University of California, Los Angeles