Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/68333
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Type: Journal article
Title: Semantic models and corpora choice when using Semantic Fields to predict eye movement on web pages
Author: Stone, B.
Dennis, S.
Citation: International Journal of Human-computer Studies, 2011; 69(11):720-740
Publisher: Academic Press Ltd Elsevier Science Ltd
Issue Date: 2011
ISSN: 1071-5819
Statement of
Responsibility: 
Benjamin Stone, Simon Dennis
Abstract: Ten models are compared in their ability to predict eye-tracking data that was collected from 49 participants' goal-oriented search tasks on a total of 1809 Web pages. Forming the basis of six of these models, three semantic models and two corpus types are compared as components for the Semantic Fields model (Stone and Dennis, 2007) that estimates the semantic salience of different areas displayed on Web pages. Latent Semantic Analysis, Sparse Nonnegative Matrix Factorization, and Vectorspace were used to generate similarity comparisons of goal and Web page text in the semantic component of the Semantic Fields model. Overall, Vectorspace was the best performing semantic model in this study. Two types of corpora or knowledge-bases were used to inform the semantic models, the well known TASA corpus and other corpora that were constructed from the Wikipedia encyclopedia. In all cases the Wikipedia corpora outperformed the TASA corpora. A non-corpus-based Semantic Fields model that incorporated word overlap performed more poorly at these tasks. Three baseline models were also included as a point of comparison to evaluate the effectiveness of the Semantic Fields models. In all cases the corpus-based Semantic Fields models outperformed the baseline models when predicting the participants' eye-tracking data. Both final destination pages and pupil data (dilation) indicated that participants' were actively performing goal-oriented search tasks.
Keywords: Semantic Fields model; Semantic salience; Web navigation; Semantic models; LSA; SpNMF; Vectorspace; Eye tracking; Pupil dilation
Rights: Copyright status unknown
RMID: 0020112971
DOI: 10.1016/j.ijhcs.2011.06.007
Appears in Collections:Psychology publications

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