Characterizing Individual Interest by a Computational Model of Reading

Abstract

Individual topic interest seems to be strongly related to reading attention and depth of processing. Although there exists a lot of research about the study of the relationship between the latter aspects, there is little work in the quantification of this interaction during reading. This paper presents a way for the detection and quantification of the influence of individual interest in the reading process by using several parameters that characterize a computational model of reading called CRIM. Experiment results have pointed out a certain dependency between the implicated issues, motivating further and deeper research.