NoTeeline：使用大型語言模型支援從關鍵點進行的即時筆記。

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

影片已成為一種流行的媒體形式，用於信息分享和消費。然而，在觀看影片時記錄筆記需要大量的時間和努力。為了解決這個問題，我們提出了一個新穎的互動系統，名為NoTeeline，用於即時記錄個性化筆記。NoTeeline讓用戶快速記下要點（微型筆記），這些要點會自動擴展為捕捉用戶微型筆記內容並與用戶書寫風格一致的完整筆記。在一項受試者內研究中（N=12），我們發現NoTeeline幫助用戶創建高質量的筆記，捕捉其微型筆記的本質，並具有更高的事實準確性（93.2%），同時準確反映其書寫風格。在使用NoTeeline時，參與者感受到明顯減少的心理努力，寫下的文字減少47%的情況下獲得滿意的筆記，並且完成筆記所需時間比手動記錄基準減少了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.