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HyNote: Integrated concept mapping and notetaking

Xiaojun Meng, Shengdong Zhao, Darren Edge

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Notes can be taken in a linear or nonlinear way. Previous work suggests that nonlinear note taking is advantageous in terms of sense-making and long-term recall. However, previous studies also reveal that the combination of divided attention and time pressure make realtime notetaking a challenge. In this paper, we propose a new hybrid workflow inheriting advantages from both linear and nonlinear notetaking approaches. Our resulting HyNote (Hybrid Notetaking) system uses statistical parsing of linear raw notes to facilitate concepts mapping, allowing users to smoothly switch between linear and nonlinear approaches with low effort and time costs. Results from our preliminary study of HyNote show that users can easily map concepts in realtime and achieve superior understanding of lecture contents in a video learning task compared with using the traditional linear Notepad application. © 2016 Copyright held by the owner/author(s).
Original languageEnglish
Title of host publicationAVI 2016 - Proceedings of the 2016 International Working Conference on Advanced Visual Interfaces
PublisherAssociation for Computing Machinery
Pages236-239
Volume07-10-June-2016
ISBN (Print)9781450341318
DOIs
Publication statusPublished - 7 Jun 2016
Externally publishedYes
Event13th ACM International Working Conference on Advanced Visual Interfaces, AVI 2016 - Bari, Italy
Duration: 7 Jun 201610 Jun 2016

Publication series

NameProceedings of the Workshop on Advanced Visual Interfaces AVI
Volume07-10-June-2016

Conference

Conference13th ACM International Working Conference on Advanced Visual Interfaces, AVI 2016
PlaceItaly
CityBari
Period7/06/1610/06/16

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • Concept mapping
  • Mobile interaction
  • Notetaking

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