A Proposal of “Echo Read” as an Interactive AI Reading System to Support Rereading

This study investigates how rereading and different annotation styles affect the reading experience, proposing a system called Echo Read. It compares traditional literary annotations with SNS-style ones and enables mode switching among plain text, traditional, and SNS annotations. A theoretical framework views reading as a multidimensional process across temporal and spatial axes. An experiment with participants reading under three annotation modes collects data via surveys, logs, and interviews. This study aims to show how annotations enhance comprehension, reflection, and social engagement, contributing to new understandings of digital reading and practical applications in education and culture.