Understanding the Applicability of Sequential Data Analysis Techniques for Analyzing Usability Data

Abstract

The applicability of exploratory sequential data analysis (ESDA) techniques for analyzing usability test data is examined. ESDA techniques include transition matrix analysis, lag sequential analysis, frequency of cycles, graphical summarization techniques, and pattern analysis techniques. A subset of each was used in analyzing the data from three usability studies. The encoding schemes used, the analysis routines run, software tools to support encoding and analysis (SHAPA and the Maximal Repeating Pattern analysis tool), and their interactions are discussed and the different types of usability problems which can be extracted from the data when analyzed with ESDA techniques are illustrated. It is concluded that the ESDA techniques will be useful once the state of the art in software support is able to provide the analyst greater flexibility in applying the analysis routines.... ESDA, Sequential data analysis, SHAPA, Maximal repeating, Pattern analysis tool.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1993
Accession Number
ADA263144

Entities

Organizations

  • MITRE Corporation

Tags

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Automated Text Summarization
  • Beta Testing
  • Coding
  • Cognitive Science
  • Cognitive Systems Engineering
  • Computer Science
  • Data Analysis
  • Data Science
  • Frequency
  • Information Processing
  • Information Science
  • Information Systems
  • Probability
  • Sequential Analysis
  • Statistical Analysis
  • User Interface

Fields of Study

  • Computer science
  • Engineering

Readers

  • Regression Analysis.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.