Science and Technology for Augmenting Reading (STAR)

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Authors: Tal August, Andrew J. Head, Alexa Fay Siu, Elena Leah Glassman, Jonathan K. Kummerfeld, Joseph Chee Chang, Lucy Lu Wang, Marti A. Hearst
Cited by: 1
References: 36

Abstract

The landscape of technology for consuming information is changing rapidly. One mode of information consumption, reading, stands to see profound changes due to its ubiquity and frequency as a cognitive task. Better reading technology could transform texts on demand so that they are easier to read, surface hard-to-find information, support synthesis, and better engage readers. The possibilities have been considerably expanded with the maturation of AI. The purpose of this workshop is to provide a platform for the growing cohort of HCI and AI researchers interested in augmented reading interfaces to define high-impact areas of development and standards of success. This platform will arise from two components of our workshop. The first is a brief and engaging format of introductions among community members through lightning talks. The second is a set of affinity group activities that will identify fresh opportunities for augmenting reading against the backdrop of reading theories, evaluation practices, and emerging technology.

Fields of Study & Subjects

Reading and Literacy Development Second Language Acquisition and Learning Text Readability and Simplification

Publication details

Journal / source
Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–6
Publication date
13 April 2026