Paper Info
Title
Characterizing the sequential structure of interactive behaviors through statistical and grammatical techniques
Abstract
Statistical and grammatical techniques are reviewed as an integrated approach to exploratory sequential data analysis (ESDA) for categorical data. The first step is the identification and validation of the categories to be analyzed. The main statistical techniques discussed are log-linear modeling and lag sequential analysis. These methods allow for the statistical evaluation of a wide range of general and specific hypotheses about sequential structure. Grammatical techniques based on definite-clause grammars are described and illustrated, and the complex issue of measuring the goodness of fit of a set of patterns is discussed. Throughout the article, examples from our own research illustrate how the various techniques are used, especially in concert, while carrying out ESDA. In Section 6, several other human-computer interaction and computer-supported cooperative work applications of these techniques are discussed.
Year
DOI
Venue
1994
10.1207/s15327051hci0903&4_6
Human computer interaction
Keywords
Field
DocType
exploratory sequential data analysis,computer-supported cooperative work application,statistical evaluation,main statistical technique,grammatical technique,sequential structure,interactive behavior,categorical data,complex issue,definite-clause grammar,sequential analysis,data analysis,log linear model,software engineering,empirical method
Rule-based machine translation,Data mining,Sequential data,Computer science,Categorical variable,Cooperative work,Human–computer interaction,Artificial intelligence,Natural language processing,Goodness of fit
Journal
Volume
Issue
ISSN
9
4
0737-0024
Citations 
PageRank 
References 
36
4.51
8
Authors
3
Name
Order
Citations
PageRank
Gary M. Olson12399479.89
James D. Herbsleb26223470.93
Henry H. Rueter314326.09