Human Attention during Goal-directed Reading Comprehension Relies on Task Optimization

Author:

Zou Jiajie,Zhang YuranORCID,Li Jialu,Tian XingORCID,Ding Nai

Abstract

AbstractThe computational principles underlying attention allocation in complex goal-directed tasks remain elusive. Goal-directed reading, i.e., reading a passage to answer a question in mind, is a common real-world task that strongly engages attention. Here, we investigate what computational models can explain attention distribution in this complex task. We show that the reading time on each word is predicted by the attention weights in transformer-based deep neural networks (DNNs) optimized to perform the same reading task. Eye-tracking further reveals that readers separately attend to basic text features and question-relevant information during first-pass reading and rereading, respectively. Similarly, text features and question relevance separately modulate attention weights in shallow and deep DNN layers. Furthermore, when readers scan a passage without a question in mind, their reading time is predicted by DNNs optimized for a word prediction task. Therefore, we offer a computational account of how task optimization modulates attention distribution during real-world reading.

Publisher

Cold Spring Harbor Laboratory

Reference76 articles.

1. The Attention System of the Human Brain

2. A feature-integration theory of attention

3. Eye movements in reading and information processing: 20 years of research.

4. Marr D . Vision: A computational investigation into the human representation and processing of visual information, henry holt and co. Inc, New York, NY. 1982;2(4.2).

5. Kahneman D. Attention and effort: Citeseer; 1973.

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