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
Envisioning the Next-Gen Document Reader
A next-generation document reader is proposed, enhanced with NLP-powered features and a customizable plugin marketplace to improve user understanding and connectivity.
- Year
- 2023
- Venue
- arXiv 2023
- Authors
- 3
- Hosting
- Abstract onlyARXIV-DEFAULT
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- Abstract & full text
- arxiv.org/abs/2302.07492ARXIV-DEFAULT
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