# CARE: Collaborative AI-Assisted Reading Environment

## TL;DR

CARE is an open platform that enables collaborative reading with AI assistance through inline commentary, supporting data collection, NLP tools, and behavioral analysis for scholarly peer review and beyond.

## Contribution

It introduces the first integrated platform for inline commentary and AI-assisted reading, facilitating data collection, NLP integration, and behavioral insights.

## Key findings

- Effective data collection for inline comments
- Supports NLP-based reading assistance
- Enables analysis of reading and commenting behavior

## Abstract

Recent years have seen impressive progress in AI-assisted writing, yet the developments in AI-assisted reading are lacking. We propose inline commentary as a natural vehicle for AI-based reading assistance, and present CARE: the first open integrated platform for the study of inline commentary and reading. CARE facilitates data collection for inline commentaries in a commonplace collaborative reading environment, and provides a framework for enhancing reading with NLP-based assistance, such as text classification, generation or question answering. The extensible behavioral logging allows unique insights into the reading and commenting behavior, and flexible configuration makes the platform easy to deploy in new scenarios. To evaluate CARE in action, we apply the platform in a user study dedicated to scholarly peer review. CARE facilitates the data collection and study of inline commentary in NLP, extrinsic evaluation of NLP assistance, and application prototyping. We invite the community to explore and build upon the open source implementation of CARE.