TY - JOUR
T1 - VidAdapter
T2 - Adapting Blackboard-Style Videos for Ubiquitous Viewing
AU - RAM, Ashwin
AU - XIAO, Han
AU - ZHAO, Shengdong
AU - FU, Chi-Wing
PY - 2023/9
Y1 - 2023/9
N2 - 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.
AB - 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.
KW - Content Adaptation
KW - Smart Glasses
KW - Ubiquitous Learning
KW - Video Lectures
UR - http://www.scopus.com/inward/record.url?scp=85173588755&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85173588755&origin=recordpage
U2 - 10.1145/3610928
DO - 10.1145/3610928
M3 - RGC 21 - Publication in refereed journal
SN - 2474-9567
VL - 7
JO - Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
JF - Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
IS - 3
M1 - 119
ER -