Automated eye-movement protocol analysis

Automated eye-movement protocol analysis (2001)

by Dario D. Salvucci , John R. Anderson

Venue:	Human-Computer Interaction
Citations:	24 - 4 self

Datum	Value	Source
TITLE	Automated eye-movement protocol analysis	INFERENCE
AUTHOR NAME	Dario D. Salvucci	SVM HeaderParse 0.2
AUTHOR AFFIL	Carnegie Mellon University	SVM HeaderParse 0.2
AUTHOR NAME	John R. Anderson	SVM HeaderParse 0.2
AUTHOR AFFIL	Carnegie Mellon University	SVM HeaderParse 0.2
ABSTRACT	This article describes and evaluates a class of methods for performing automated analysis of eye-movement protocols. Although eye movements have become increasingly popular as a tool for investigating user behavior, they can be extremely difficult and tedious to analyze. In this article we propose an approach to automating eye-movement protocol analysis by means of tracing—relating observed eye movements to the sequential predictions of a process model. We present three tracing methods that provide fast and robust analysis and alleviate the equipment noise and individual variability prevalent in typical eye-movement protocols. We also describe three applications of the tracing methods that demonstrate how the methods facilitate the use of eye movements in the study of user behavior and the inference of user intentions. 1.	SVM HeaderParse 0.2
YEAR	2001	INFERENCE
VENUE	Human-Computer Interaction	INFERENCE
VENUE TYPE	JOURNAL	INFERENCE
PAGES	39--86	INFERENCE
VOLUME	16	INFERENCE
CITATIONS	86 found	ParsCit 1.0