Hierarchical Resource Rationality Explains Human Reading Behavior

Fuente: arXiv
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Hauptverfasser: Bai, Yunpeng, Jin, Xiaofu, Zhao, Shengdong, Oulasvirta, Antti
Format: Preprint
Veröffentlicht: 2026
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author Bai, Yunpeng
Jin, Xiaofu
Zhao, Shengdong
Oulasvirta, Antti
author_facet Bai, Yunpeng
Jin, Xiaofu
Zhao, Shengdong
Oulasvirta, Antti
contents Reading is a pervasive and cognitively demanding activity that underpins modern human culture. It is a prime instance of a class of tasks where eye movements are coordinated for the purpose of comprehension. Existing theories explain either eye movements or comprehension during reading, but the critical link between the two remains unclear. Here, we propose resource-rational optimization as a unifying principle governing adaptive reading behavior. Eye movements are selected to maximize expected comprehension while minimizing cognitive and temporal costs, organized hierarchically across nested time scales: fixation decisions support word recognition; sentence-level integration guides skipping and regression; and text-level comprehension goals shape memory construction and rereading. A computational implementation successfully replicates an unprecedented range of findings in human reading, from lexical effects to comprehension outcomes. Together, these results suggest that resource rationality provides a general mechanism for coordinating perception, memory, and action in knowledge-intensive human behaviors, offering a principled account of how complex cognitive skills adapt to limited resources.
format Preprint
id arxiv_https___arxiv_org_abs_2603_06006
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Hierarchical Resource Rationality Explains Human Reading Behavior
Bai, Yunpeng
Jin, Xiaofu
Zhao, Shengdong
Oulasvirta, Antti
Human-Computer Interaction
Reading is a pervasive and cognitively demanding activity that underpins modern human culture. It is a prime instance of a class of tasks where eye movements are coordinated for the purpose of comprehension. Existing theories explain either eye movements or comprehension during reading, but the critical link between the two remains unclear. Here, we propose resource-rational optimization as a unifying principle governing adaptive reading behavior. Eye movements are selected to maximize expected comprehension while minimizing cognitive and temporal costs, organized hierarchically across nested time scales: fixation decisions support word recognition; sentence-level integration guides skipping and regression; and text-level comprehension goals shape memory construction and rereading. A computational implementation successfully replicates an unprecedented range of findings in human reading, from lexical effects to comprehension outcomes. Together, these results suggest that resource rationality provides a general mechanism for coordinating perception, memory, and action in knowledge-intensive human behaviors, offering a principled account of how complex cognitive skills adapt to limited resources.
title Hierarchical Resource Rationality Explains Human Reading Behavior
topic Human-Computer Interaction
url https://arxiv.org/abs/2603.06006