标题：NoTeeline：利用大型语言模型支持从关键点进行实时笔记记录

NoTeeline: Supporting Real-Time Notetaking from Keypoints with Large Language Models

September 24, 2024

作者: Faria Huq, Abdus Samee, David Chuan-en Lin, Xiaodi Alice Tang, Jeffrey P. Bigham

cs.AI

摘要

视频已成为信息共享和消费的流行媒体形式。然而，在观看视频时做笔记需要大量的时间和精力。为了解决这个问题，我们提出了一种新颖的交互式系统，名为NoTeeline，用于实时、个性化的笔记记录。NoTeeline允许用户快速记录要点（微型笔记），这些要点会自动扩展为捕捉用户微型笔记内容并与用户书写风格一致的完整笔记。在一项受试者内研究中（N=12），我们发现NoTeeline有助于用户创建高质量的笔记，这些笔记以更高的事实正确性（93.2%）捕捉了微型笔记的本质，同时准确反映了他们的书写风格。在使用NoTeeline时，参与者经历了显著减少的心理努力，写下的文字减少了47%，完成记笔记的时间比手动记笔记基准减少了43.9%。

English

Video has become a popular media form for information sharing and consumption. However, taking notes while watching a video requires significant time and effort. To address this, we propose a novel interactive system, NoTeeline, for taking real-time, personalized notes. NoTeeline lets users quickly jot down keypoints (micronotes), which are automatically expanded into full-fledged notes that capture the content of the user's micronotes and are consistent with the user's writing style. In a within-subjects study (N=12), we found that NoTeeline helps users create high-quality notes that capture the essence of their micronotes with a higher factual correctness (93.2%) while accurately reflecting their writing style. While using NoTeeline, participants experienced significantly reduced mental effort, captured satisfactory notes while writing 47% less text, and completed notetaking with 43.9% less time compared to a manual notetaking baseline.