Continue or Stop Reading? Modeling Decisions in Information Search

Francisco Lopez Orozco (1) , Anne Guérin-Dugué (2) , Benoît Lemaire (1)

1 LPNC - Laboratoire de Psychologie et NeuroCognition
2 GIPSA-VIBS - GIPSA - Vision and Brain Signal Processing

This paper presents a cognitive computational model of the way people read a paragraph with the task of quickly deciding whether it is better related to a given goal than another paragraph processed previously. In particular, the model attempts to predict the time at which participants would decide to stop reading the current paragraph because they have enough information to make their decision. We proposed a two-variable linear threshold to account for that decision, based on the rank of the fixation and the difference of semantic similarities between each paragraph and the goal. Our model performance is compared to the eye tracking data of 22 participants.

Mots clés: decision making; information search; reading; text; computational model

Domaines: Informatique; Psychologie

Francisco Lopez Orozco, Anne Guérin-Dugué, Benoît Lemaire. Continue or Stop Reading? Modeling Decisions in Information Search. NLPCS 2012 - 9th International Workshop on Natural Language Processing and Cognitive Science, Jun 2012, Wroclaw, Poland. pp.96-105. ⟨hal-00790210⟩