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 quantificationof this interaction during reading. This paper presents a way for the detection and quantification of the influence of individualinterest 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.
%0 Journal Article
%1 2007serrano
%A Serrano, J. Ignacio
%A del Castillo, M. Dolores
%A Iglesias, Ángel
%D 2008
%J Advances in Cognitive Neurodynamics ICCN 2007
%K digitalHumanities
%P 539--543
%T Characterizing Individual Interest by a Computational Model of Reading
%U http://dx.doi.org/10.1007/978-1-4020-8387-7_94
%X 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 quantificationof this interaction during reading. This paper presents a way for the detection and quantification of the influence of individualinterest 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.
@article{2007serrano,
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 quantificationof this interaction during reading. This paper presents a way for the detection and quantification of the influence of individualinterest 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.},
added-at = {2009-02-21T01:14:18.000+0100},
author = {Serrano, J. Ignacio and del Castillo, M. Dolores and Iglesias, Ángel},
biburl = {https://www.bibsonomy.org/bibtex/2d2371a3977fb00ac726a6d7840a72c10/filologanoga},
description = {SpringerLink - Book Chapter. On reading.},
interhash = {b10b37d92a1940fa011897ac9d2d32f1},
intrahash = {d2371a3977fb00ac726a6d7840a72c10},
journal = {Advances in Cognitive Neurodynamics ICCN 2007},
keywords = {digitalHumanities},
pages = {539--543},
timestamp = {2009-02-21T01:14:18.000+0100},
title = {Characterizing Individual Interest by a Computational Model of Reading},
url = {http://dx.doi.org/10.1007/978-1-4020-8387-7_94},
year = 2008
}