CLAIHCLGFeb 15, 2023

Envisioning the Next-Gen Document Reader

arXiv:2302.07492v11 citationsh-index: 17Has Code
Originality Synthesis-oriented
AI Analysis

This work addresses the need for more interactive and customizable document reading experiences for users, though it is incremental as it builds on existing reader technologies.

The authors tackled the problem of static and isolated digital document reading by proposing a next-generation document reader with 18 NLP-powered features and a plug-in marketplace, demonstrated through 3 UI prototypes.

People read digital documents on a daily basis to share, exchange, and understand information in electronic settings. However, current document readers create a static, isolated reading experience, which does not support users' goals of gaining more knowledge and performing additional tasks through document interaction. In this work, we present our vision for the next-gen document reader that strives to enhance user understanding and create a more connected, trustworthy information experience. We describe 18 NLP-powered features to add to existing document readers and propose a novel plug-in marketplace that allows users to further customize their reading experience, as demonstrated through 3 exploratory UI prototypes available at https://github.com/catherinesyeh/nextgen-prototypes

Code Implementations1 repo
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