VidAdapter: Adapting Blackboard-Style Videos for Ubiquitous Viewing

Ashwin RAM, Han XIAO, Shengdong ZHAO, Chi-Wing FU

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

2 Citations (Scopus)

Abstract

Video lectures are increasingly being used by learners in a ubiquitous manner. However, existing video designs are not optimised for ubiquitous use, creating the need to adapt the style of these videos to meet the constraints of the learning platform and context of use. Our formative study with experienced video editing users, however, found that performing these adaptations using traditional video editors can be a challenging and time-consuming task. We developed VidAdapter, a tool that facilitates lecture video adaptation by allowing direct manipulation of the video content. For this, VidAdapter automatically extracts meaningful elements from the video, enables spatial and temporal reorganisation of the elements, and streamlines the modification of an element's visual appearance. We demonstrate the capabilities and specific use cases of VidAdapter within the domain of adapting existing blackboard lecture videos for on-the-go learning on Optical Head-Mounted Displays. Our evaluation of the tool with experienced video editing users revealed that VidAdapter was strongly preferred over traditional approaches and can improve the efficiency of the adaptation process by over 53% on average. © 2023 ACM.
Original languageEnglish
Article number119
JournalProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Volume7
Issue number3
Online published27 Sept 2023
DOIs
Publication statusPublished - Sept 2023
Externally publishedYes

Funding

This research is supported by the National Research Foundation, Singapore, under its AI Singapore Programme (AISG Award No: AISG2-RP-2020-016) and the programme DesCartes supported by the National Research Foundation, Prime Minister’s Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme. It is also supported in part by the Ministry of Education, Singapore, under its MOE Academic Research Fund Tier 2 programme (MOE-T2EP20221-0010), and by a research grant No: 22-5913- A0001 from the Ministry of Education of Singapore. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of the National Research Foundation or the Ministry of Education, Singapore. This research is also partially supported by the Research Grants Council of the Hong Kong Special administrative region, China (T45-401/22-N). We also thank reviewers for their invaluable time and feedback.

Research Keywords

  • Content Adaptation
  • Smart Glasses
  • Ubiquitous Learning
  • Video Lectures

RGC Funding Information

  • RGC-funded

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