Mathematical Basis for a System to Manage Automated Protocol Analysis
Abstract
The TextLab Research Group has developed a number of tools and techniques for automatically recording users' interactions with computer systems in machine readable form, for replaying sessions, for analyzing protocol data using cognitive grammars, for filtering analyzed data and interfacing with statistical packages, and for displaying results in visual forms that facilitate interpretation. The methodology they are developing encourages the collection of large numbers of protocols that must be stored, retrieved, divided into meaningful groups, etc., before they can be analyzed. Thus, managing protocol data becomes increasingly important. Our long-term goal is to develop an integrated environment from which to control and monitor all stages of the process; the goal of this paper is to provide a conceptual foundation for that system. It discusses issues concerned with sorting and selecting protocols according to associated attributes and with criteria for the proper application of particular statistical or other analytic functions to particular forms of protocols or data derived from them. The mathematical model presented is general and can be applied to other applications in which matching analytic program requirements with data type or organization is important.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 1991
- Accession Number
- ADA242042
Entities
People
- Richard M. Hawkes
Organizations
- University of North Carolina at Chapel Hill