@inproceedings{694bbf4d0d1140beb6ea07a821deb99b,
title = "Exploring the Complementary Features of Audio and Text Notes for Video-based Learning in Mobile Settings",
abstract = "In this paper, we compared audio and text note-taking behaviors for video-based learning in various mobile settings. We designed and implemented a note-taking tool and conducted a task-based study to examine how users took audio and text notes differently. Our results show that participants' audio notes were significantly longer than text notes; longer audio notes were taken to capture unfamiliar video content and participants' emotions. However, audio notes also raised several privacy concerns. Text notes allowed participants to revise for better accuracy and deeper reflection. Our findings of the complementary features of audio and text notes for video-based learning shed light on designing future note-taking tools that can be used to facilitate learning in varied mobile settings.",
keywords = "Audio interaction, Mixed-method study, Note-taking",
author = "Si Chen and Dennis Wang and Yun Huang",
note = "Funding Information: This project was made possible in part by the Institute of Museum and Library Services LG-70-18-0088-18. The views, fndings, conclusions or recommendations expressed in this article do not necessarily represent those of the Institute of Museum and Library Services. Publisher Copyright: {\textcopyright} 2021 ACM.; 2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI EA 2021 ; Conference date: 08-05-2021 Through 13-05-2021",
year = "2021",
month = may,
day = "8",
doi = "10.1145/3411763.3451801",
language = "English (US)",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
booktitle = "Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, CHI EA 2021",
address = "United States",
}