English

Envisioning the Next-Gen Document Reader

Computation and Language 2023-02-16 v1 Artificial Intelligence Human-Computer Interaction Machine Learning

Abstract

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

Keywords

Cite

@article{arxiv.2302.07492,
  title  = {Envisioning the Next-Gen Document Reader},
  author = {Catherine Yeh and Nedim Lipka and Franck Dernoncourt},
  journal= {arXiv preprint arXiv:2302.07492},
  year   = {2023}
}

Comments

Paper accepted at the AAAI 2023 Workshop on Scientific Document Understanding

R2 v1 2026-06-28T08:40:29.193Z