helpResearch questionMobile Content Presentation, Learning Experience, and On-Device Optimization
How can speech pause information be used to optimize subtitle segmentation synchrony and readability?Direction: Crowdsourcing Work and Mobile Content Experiences
Mobile Content Presentation, Learning Experience, and On-Device Optimization
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12 items
helpResearch questionMobile Content Presentation, Learning Experience, and On-Device Optimization
How can subtitle segmentation adapt to different user-defined font sizes and language preferences?helpResearch questionMobile Content Presentation, Learning Experience, and On-Device Optimization
In what ways do subtitle segments generated from speech pause features outperform traditional methods based on character count or syntactic structure?lightbulbPractical problemMobile Content Presentation, Learning Experience, and On-Device Optimization
Subtitles break across lines or fail to synchronize when font size or language varies.helpResearch questionMobile Content Presentation, Learning Experience, and On-Device Optimization
Can dynamic handwritten text (e.g., handwriting) improve learning outcomes?helpResearch questionMobile Content Presentation, Learning Experience, and On-Device Optimization
Is dynamic handwritten text more engaging than static printed text?helpResearch questionMobile Content Presentation, Learning Experience, and On-Device Optimization
How do different text presentation modes differ in effectiveness across fixed and mobile learning contexts?lightbulbPractical problemMobile Content Presentation, Learning Experience, and On-Device Optimization
When learning on mobile devices, unoptimized text presentation may reduce learning effectiveness.helpResearch questionMobile Content Presentation, Learning Experience, and On-Device Optimization
How can efficient super-resolution (SR) model architectures be designed for resource-constrained mobile devices?UbiComp '21SplitSR: An End-to-End Approach to Super-Resolution on Mobile Devices
helpResearch questionMobile Content Presentation, Learning Experience, and On-Device Optimization
Can channel splitting methods improve performance and efficiency in mobile image super-resolution tasks?UbiComp '21SplitSR: An End-to-End Approach to Super-Resolution on Mobile Devices
helpResearch questionMobile Content Presentation, Learning Experience, and On-Device Optimization
How can deep learning compilers optimize model inference and enable real-time super-resolution applications?UbiComp '21SplitSR: An End-to-End Approach to Super-Resolution on Mobile Devices
lightbulbPractical problemMobile Content Presentation, Learning Experience, and On-Device Optimization
User phones struggle to enhance low-quality photo clarity in real time.UbiComp '21SplitSR: An End-to-End Approach to Super-Resolution on Mobile Devices
Related papers
CHI 2025
OptiSub: Optimizing Video Subtitle Presentation for Varied Display and Font Sizes via Speech Pause-Driven Chunking
Dawon Lee, Jongwoo Choi, Junyong Noh
CHI 2022
Does Dynamically Drawn Text Improve Learning? Investigating the Effect of Text Presentation Styles in Video Learning
Ashwin Ram, Shengdong Zhao