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LSVP
- Source :
- Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 5:1-27
- Publication Year :
- 2021
- Publisher :
- Association for Computing Machinery (ACM), 2021.
-
Abstract
- The ubiquity of mobile phones allows video content to be watched on the go. However, users' current on-the-go video learning experience on phones is encumbered by issues of toggling and managing attention between the video and surroundings, as informed by our initial qualitative study. To alleviate this, we explore how combining the emergent smart glasses (Optical Head-Mounted Display or OHMD) platform with a redesigned video presentation style can better distribute users' attention between learning and walking tasks. We evaluated three presentation techniques: highlighting, sequentiality, and data persistence to find that combining sequentiality and data persistence is highly effective, yielding a 56% higher immediate recall score compared to a static video presentation. We also compared the OHMD against smartphones to delineate the advantages of either platform for on-the-go video learning in the context of everyday mobility tasks. We found that OHMDs improved users' 7-day delayed recall scores by 17% while still allowing 5.6% faster walking speed, especially during complex mobility tasks. Based on the findings, we introduce Layered Serial Visual Presentation (LSVP) style, which incorporates sequentiality, strict data persistence, and transparent background, among other properties, for future OHMD-based on-the-go video learning.
- Subjects :
- Video learning
Computer Networks and Communications
Computer science
Head (linguistics)
media_common.quotation_subject
05 social sciences
050301 education
Context (language use)
Immediate Recall
Human-Computer Interaction
Preferred walking speed
Presentation
Hardware and Architecture
Human–computer interaction
0501 psychology and cognitive sciences
Visual presentation
Persistent data structure
0503 education
050107 human factors
media_common
Subjects
Details
- ISSN :
- 24749567
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
- Accession number :
- edsair.doi...........7304eee2e0ee0cf0d762ff72389ac5e7
- Full Text :
- https://doi.org/10.1145/3448118