Synopses & Reviews
Computer key-stroke logging is an exciting development in writing research methodology allowing analysis of revisions and pauses in the online writing process. Key-stroke logging is a dynamic area of research with broad applications in writing research and information processing.
Computer key-stroke logging and Writing is the first book in this area to successfully collect a group of leading key-stroke logging researchers into a single volume and offers an invaluable introduction and overview of the field. It provides the reader unfamiliar with the technique a sound background in key-stroke logging technology and an understanding of its potential in writing research. Leading researchers demonstrate how key-stroke logging can be used to analyse the writing process phenomena of the pause, the writing unit and the revision unit. These phenomena are illustrated with data from current key-stroke logging research projects. In the final sections the editors explore a number of application possibilities, including; how key-stroke logging, alone or coupled with other techniques, can be used to examine theoretical proposals and models, and to study translation. This work will be of interest to all researchers in the field of written composition, human computer interaction, cognitive psychology of language, and translation studies.
*Work from the world's leading researchers in one volume
*Provides and excellent introduction and overview of key-stroke logging
*Includes a discussion of applications for this exciting new field
Table of Contents
1. Keystroke Logging-An Introduction
Kristyan Spelman Miller and Kirk Sullivan
2. What Keystroke Logging can Reveal about Writing
Sven Stromqvist et al.
3. Examining Pauses in Writing
4. Pausing, Productivity and the Processing of Topic in On-Line Writing
Kristyan Spelman Miller
5. Analysing On-Line Revision
Eva Lindgren and Kirk P. Sullivan
6. Segmentation of the Writing Process in Translation: Experts vs. Novices
Birgitta Englund Dimitrova
7. Exploring Theory and Supporting Learning using Keystroke Logging
Kirk Sullivan and Eva Lindgren